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+slzBUS2hY75EgsJqWUM\/2jAHXm3wSsG\/YedkISwWmTd4WMLAlDFs7XafXZhZqEowH1EWKjmCgmYAAuF8AP4nwgKnxgK7xgLuZZ7UKKQyIBKHG\/iGTNpXBn1AYTq9buhRjItiODl6kxBOtEUu1XWzOxxrs504YTvC4ltbSCOVwyWTLVVFmYiVhYOL7fM33uX7OVWFeC5M11nyKq+ItYyZ9y1bfwFUp8DzKiZQiZe0aXBy5GQLlruwkSyPCP1qh7ieyzrWEp0qQ2SZx7YC9Ui4ZcsCR0a8US0gC0URoAShMNQuwWrcLAItqEGSpIDKZUVFh9hMpn0sznkATV+eE1RNnXHN1lRkFGq8ClXIGKiPau3XgyTnJdXM7ssWOKIeodB5nSS5SqNYaYY15bovbdotPqGVV75yIajFB4xKCCjJf5zGk4iK6aRHTxGz7acQ0Vwrm4SYoYmie10qatDJ5jUZk3jrJgVk6oMHATMByaqqcMty8dYrlTNtx1cJ9SB8tsu8YbmEMy2jNMhqw+CnoihzZJJVLaA9M8DcN7R6CxDTjjAjgdfKZOicSnKvaOAOqTq9aeA7ES5AILwJsd011AjtPGhlY2tOkMfTpBKGDLgChhxBFCIGmqIGvApvUDeKf5zpOr1oogGGMShlJKJnSbDEV21Aq5QN1uoqrdopSeAQsMQQRfKxXkSqJjvC1aeB+NcUWTCOZAw49SgfAf67vehVpijNFtyYEZImNuIpGJCpo4BQTvFWjjdkyT302LXHamTnlC7ZuI7KfYCG5LHQSJlShStqyUOhTP7N1E3EtARKZom6yyPla6lNPrudzBG7RBqSlvZ0TWbS3MaGv5zgRWelMkqewAOiRS68Wc9L38+l3W6Bk8g4rTVC5khOY9OwmZUtXniCr0Kc4U7bDNQR6wD0zv5k9uml+LW0O5pKQadNB+IpcfIZO9egjKyRpVzMaHip1xkMgTK4mK2G8U3nn453QvUZ4LXF+YC+xXb9pvGeRqe1ndJ2h+QGz4GZh62V9+LYKJolTwvkBFZ3ltWX9cDw3m5+cxotzehvLGEEiSVeNFz49XujVMEsKHRYxIowgqd6OiIDeiwNW2RF8SDPeejYekAvWAhCJqczP5PGqVMFg3FdN2G8qYGinCcCYsc6KkGxrL\/oz7M+24wELZyQTChHSmWZA9AW2GTbMhw29OmEVkjAYTAGMAZzIy6hrLslMYp8uYzxRS0Ljg2AqhU8h5+pT5Attrm7RzUx5hz3h5JxIEtlXm4RXDWCszdC0gHFyM6qfsShQwLfOQB3VzuTNSbV5xmxi62Y8xLiAHBJQVy7zoViKxvHCOVamUrM+5SCVxMYPSLK81m3Gapp9fF7gNKeNLGaEVug4CWzqfWJrBctmvNjiBqeFxTjioyKFTGTMTOAzZExbU6JKH\/oZJ4MI2S9MftWlVsFk0PU+bhkEyAggQ7c2AuEbagWH5w26krf10y4Kgx0QLngR0svyToRhZdByxiB4zAaSF0GmT\/mFcCpvbP0+youMCeC4GOa0+gnUbDec0zd+Tlxq3HHQnGINd6BU9Q6ovTL9GCbadupWiG0k8VboRPS3F0G5msey54jL2Qxrz5qoUcjDDD0iOMUCBp6hp5K417QUsIvQlGQzxzY6IS6l+nAUQfqad5q0\/NIq2vkqWiSeHJARmo2kmmO7irMpOn1j5gEA+2aggqiM5lKhn+odieodkhhlmYecsucbfaaEguk4vNSY1Na2eEheSM9Dppqkji21ipAdswpIR9Uz7l895x2cvlFzoS2E0SADVLHDpGs513WuIpxILedSYxMXFUv1vKKHY5piP2fENq3YBn0\/iC0JbMpnxUbwahG8TvnjbcsmeyMMUb9AMVbNhJrbws6yoFN+Iof59CgGAEsi6y4zcPcIbcxz0Mbpfmg2IDAkkDAbILCUjYrS7awT2C\/oUqk9g8zGAb1YLeBtazfYSxhwhhBfbN096SnMvkB1hz6qWf4dMP+OgHzDeafdbOdWH7IFhwD+JTV3WqFcvX4RY4qZwKtDwkU2\/Vu3LXHutTDY9QeRyrpQQIM6A0LMmdbJKOe5PObeEQJIJHH1ifnJF8zPzLsSSRvQr3RifmcqDw7bEiv7u5mBQmw40grYK33W\/uxEFkQUt7K\/m9b+vIhQvrHQF4vcGnDjxlctUZrsL1B2nLjWUq3grZ73smpuSPBkeM2Ge7G2FnrZzwWGoGzA2VTJkxEoHNKclcAtBnG672cYyYHAwEUrE4nYKg16ecNJYpOf2XDqfOOpUZC6h1pgnz1M5RLcSeOpbFEmNF5g\/wn0sSql2x0iG17XFQ1XG6Rtiw1gJrhBNIyRXpqdnoHq0Ms4mx1Gdw10ivTz\/fuJ6Q3DHNFE7HxWWParxjvlAuwZSD2sZ7XDhB2DEfayn6XG6mxqXI3XUhVArWN7KLRgmjRRM\/V4dpJ2Nr0TBAwZhMbpJeFiPGUCasTqzrVp9abdvghkLA+obCInXLCReyZ+qBq\/Df0sYErPIclVzXO2ih+VyP6UXQgntWxwMYHteRlCvYSJPu+Mw58IvV63kBVZW2RTAhB60rUiVzBGFlQ9E\/mEoAEfAyJHDGxqpmV5quUTqwlu3tzncAmBX\/SubVyVTVXBz3vdQj\/MMLVBBg6aNmxmQGyrE\/fSBM831lolIbEJctb3bKdmvLNKkfM8Ais9EdpasF5W5xHZDs1LSglm3hRKdojI5RMznPmZ1grRqtFJazCW2Obu8pnUvTJqPUMxsJGtklgfyLVMxz76EzadhhkhigQXFGPw1EHTmJxNmoOS465AQObTBAc363jAsKmwNBY+hRNOHVdQ895NtGjU6bwp+WWDdjqt582bqFyDvU2BwrCrcAc1QyLusFli1UjcIkFHDhoiE3SUqpZ1lLNI0iKj0Ac5b8MGtyVh0YN+yf78DKc6nZ7hvCPKoSuB49R7Xqk4nRG4hZZBCY29awrXKdWO+tSk54eGnE43MyeIXVZJSpGgtGTD1CdODhG6upahUUxgU6wQ3HACCK1QGOK1hz5UXSvmNCE5h9B9e5wLVl9R+cBhf31CTE7bwsiTInCgIrBqarapn9UPMHWHkzkJq1hx6kOojgWEciyARJ5Q0tBuF6+wsQPcg8Mukt+1+5xOJ\/EJuhTBPyQEXUBG2dAaj6I62wu7pc1zvBVGSs4jTHSz3fKpGcb5EiIO8djnYdo1rDxYaD1YtYb+Zn6IzWPTIzffTKX5mZrPnh1an4GaiY8VJtUkJlbg2YzSl62pYVxjSiCbBM\/3M3OUgSgQOkvzwvmcs4ftkp\/3NCvqDwJTd7Zt9jwlp0pz5uS81+s5BUKnCw0yxFnwM6cLzTmJU9OFgYRcRMWg6TVNEzPNpLMizws8aD0eIJ023I7qT5gpRrGVyJP3Xq\/mSahl3xixy7OQIMA31kyzOZN1+7aRBVAgVrqNA2JPWfucz\/GTMZ74nJMaFHRySDqxEanb6rSlt4axFWFYqfkkudDCYtlXBk1dmdhqnJtrKi\/hi5egvsmpnTmdEKWA3bHSaMHMYSqwQ6rO9dnhIWIMq0n2c3YYPSPxZ\/bF5k6T40s7ST23nogHNWFR87mPqvs2zY0n1r5xneZZGuS4ML1kFHnbah3JreXmaElHKgL73IqBTWq2mgTzFB7Q5a54154\/O13OVuVxVjJzyBXIIJKuzdzlQx60v7MlgMGf3eZOJzmvumKYleCGrDvrhk6ampvJejM\/uwl1ZhPgnEZ9GvT8UcZ54G4qrnTaMoKioIWUKgMgZ03mGFpQV9grbH2sdX9CFwOCxyJuMAL6b2YHDF6sUYXe6\/npzYAJOjYNytkZRvfiGUan4zAr\/mORSkollJb6LBaoIu0MSDrdFHKrQ6s6OmjjYYM\/XUZFjiNWy1gZZuvRI3RuI2unoJnCVMdJq2U0zzlgp09qwxZcOmJdOEesg2t5yuw2Ek3RTb6t1nTrgcH\/YH8vMDJwlL+BAy1PqUuZqprhatY0AsVXKwPoBbvWT5jUSi\/+LJO6NnNbpEUMWLpvqn0aMjzqU26q7KfbOp6H+Vaht0y8Z1zlgNW0kueiROibBmSLHLymlZQiJlcr25DPf6EoGdrmekUUI24ZA3Ey1O08pbF1xrlNFPdJVRe7tTCRg1ofOMpmw9jPSTXXap7RGMxooAn3xLrlzLhPAdVpZz2T8MZD7dLYl07dn20Ib6rEihu2cH4KCnR4FLvCJtVuOTlBUYt8QiNDKx2YjfFJRKjbmLM61g2NPAEqd3K7AvAnROJBl2ooXrG+\/KHKriN5xUrJ8\/xDBw6ESiX1Gf7hVMmnbfqQsSsujYNln3aVfaJ5+ca3h+yweRn7\/mEJlbVh1g0QiSIzpfyKx5iqGy9OEhqufZmUkginN148c2tItY1df9rmhyc+DXTZwgnNz+POK5342Rkz5HiChSK7Si2qdwXVNwgXdDLB+tV63qFBRK0X0DXzCf58xk2f9tDDzpOIceCMgDzrap7XsdPRncdMCVbMJNeWc1+g4yuzSXOz4btc4CiCYbMJmBzUTSRsNpoPzU558OqkppHwpCOQyVbAOcVz7ZzmhDeqzabNjTA0030FUM+29VY+Pc5yfivPMqOE+XQElAw1nMLvP7uGbZuCv\/HtCUIcyGi+a0Y53Hq2WUPYegwBAq9hbNbwZs7IIN9hIh6LqtYQK2FWCVs2oD67kk5HM4cQaN1wQwywFGg9ZyBEwxE26daqn9WviNSzXkTbcIQlD65meJoHOz8\/Llto76rT1s1D87nqc9SzYiweYYFmK6W1Pu8hZJu6nQg877V11GtrRGiNu\/jEmYeordudWjc0oQBRnSBNbyVumf6zF8TcutlVEthfYLFlH1KcfEFMnK6SqFKWeJqyOB1naWWAaG\/gcg+lUyxmc7phJuRJTqdaxTjLgLGtJyYlgnfPuQjznNm05SZk+5GZABpBnTebZ2vG3ty0LULlaiYnsUTu6UIZ404Onbr5acnpzMWtPa8Xg84CrzvwrV406cXX8L3Vi5xdtOOwFg1VHSPTnNVivcRaL411uzaFxv2ncDtDaqnaEC1nIfrE14Z+1YZovCCRmXnvZN3gOZ2DfuHOLNcmu8hAaSQaod\/Mfl61fHIPt22pF\/cewtgIKZW3U6oS5+l9uWmmSVVWbo7cMfuB3oBg6jJg6YawNWQ6BRBqbtmU3sMhHPWpXCWeVIluT65dCXh5y7WFTndlDLNjvrJC21w0U85yVhLbWSaucsOQ8+60HSxL\/Gy0b8timE1hKSJB+5+rK5\/hpDulssBK4pPrVqIIEaZnnIIrQUIr8VzHcU7hrMz5jhfQcag6Xk6uD7Sn1APcS\/i0uIRNscj\/7p6Om3E74FWF\/94\/3OCFh\/\/+\/ZfwQdfXOoK8eEBfAcpYIr289ELRPStYV1B40QP\/REIObgYCGh0diHYCVQHVCYEO0fIPBy+ARvWIR05B9QoB8tLTYgOkVlIgmUaXSeBPLZCWx6fxLCtPCHhm\/B12kMDQKmgEh7NVcFOQorOt+I9EqlMhfQijvHs3v3BSXF87aHJWcJgHaoOwCfiILPYWcOpFphvJNZPDw18hAlLdBD8PRVL0vlh61A07Sxg1s1wW38eDJhpMcbDjk12WPx\/jMq3JMl\/LJeklOM+A84PP8jSDSK+lBYf3Y9dGPpMML+TRFF\/bBy+DYVlaxXKy+dKJPT6aovgWIkMv0zAlOhlKNoNvIj06yGsZHQg+96ccK95WGseaNLyLtJzIXiSYl4VJIXbBcXCn4\/FmAQgXjBGrMygAREk8jmkEGRoMoYVH00bIAOtGLwXrhsnQGVoyRfgV\/5b8g9QGUZjawww3UWoomajA5sbWZso\/4IMUAGi4\/xP+hPYPEEbhR8LEcAIqCEh1FCF8uPQJ0y50vfgsPmrL7oKap8BbsPBgM2J1qI3RS\/C4rKXHaAXpZ6x+f+4nLg0JoA1oWhlUZ\/4diS\/FZhXZSODKVGfB72nHWJdNwBT7tnR\/Ct4AgyMoWVwKnt0EfXsKHZL256\/bEW5Dfr3vb7qvH8Z9f8RvGHj989e8XaFQqW3e4WzyfBCSrTWUxzNMKVPXPE26SEth3wP8wdsG2BuI7Lb8LvEnWBasjclnNrXG38Fi+JXof2BEbJrC9YOY8Hv\/AV8ENqvxT7r7AYrcVFmFgMgZFLzO8Jq1V+aKa0gVse4ocXbkJabf5z\/D5z6O8JTvBURpFbsSzf9mr0O\/K+4Dt+gDAomhOXqA0eJZNU171dN2MXTpm0IDV3CPmIIgkvCYOYRwa\/nYb6JVo9giaQNCzFpi3IGHcOtosLmQYwfd9AALHAW5STB9Op4PbwAJ3RRrcKcr3CnkhWm7OATkOTTC5oR9DEOjYJE+SuLnGhwCpUIXApqk+mAOiujtFbpo8q\/oQBEp8KdqQfvO40\/KjBwKmsMARYRQAoolRbGx0\/vwCT1lBMpO2qsgGlkd7w5Dbt4aNgiGgWAOZH2zu5TB\/rARxVtX\/KNijwI2TsgiEoLwxel4Eju+A4AGXRNwxU+OvagKTOCWqC7amEjIw+s1hOCkSeKIc\/d5NzrB1kgSY0xB9SSyTzJyJfDiqEj7TmbYEVgJ4E3obTErFZc72x6V+RVdFIrejsBOEhRVNfofuvxIoX0R1oLAQiGKxEfJyKYZP6lAPp\/MRktOE7ThUFKsEP8LgkKMoUnkcBpZdBSNTtTBosM7BWpI4dy8wCVTeKsb5\/NkM4oWHnEZ3Q6JvAsCRzRzyb9NP8499vKLweBoiREvYEg\/84\/+vAfVZ7+SIrlDt28JTiH2UCpLT+6EEVr+x7\/wV\/sgRx1JHAuDJ0UnlZYUKpap3O+I\/gQ3C18Q7soo7AJwCywDq5X28oT8fPHWgSE1o0+O8BiTCRpEwSCQPRL7kVB8qGX3g\/vQ04wEfZSz6Il4fo5MzWaoh1wzY0ycNBWSCujQZYsweHTCkUOZ3eKOAQ2paF8wMU\/PZciPstP9v1NwX7JCM1qg18ScQCTULisGkW1ZYMveNTtOejkDdk4NSHba3nSZgyLHqMvYjuyrQCzH0TFHSRKEPsPmm320nF7hcEDCBrGOcoSV5WSWQZCDVyQz5XMkFNmKklMiZnHCGbRn54UIG3gZfAfh7GXM+qKrLJQvjpMnA5K6HEr5WXbnZNkuBzaohpKPzf0ICr0ICk9R01AQJaHQz+G8FN5rgeaHS46+zMEno1umDcU7ARY1EmxHaLFE\/gwaqQjZg9wYXQRdZ5wYm6OHhetKI11aaHAZ+Oy3JgNGuwW4gsUcV6BshvqWLkB3nFFg3FfEJECRD20Gwb+NgoyLqzIUzqOlN6YcM\/FeLsdbXk4mwU4EV2WJIIx2l8ITe9TOqwoWoEjD3R4l3C05AcdwHzJ0IuTiBe0lWj7DI5f4SVwAvyMJdi2EUJQrHhPqGzl5VIrhMefJkbdIYFAhq\/8T+KH02Z88Vz2P5hXZZzTfBYEOA27JxqvSQBbMNihM055l3jpmiIpTiZiFwd7nvqnIbmrpAyNYXlzsflliCrfMF2Fal5OIJTf9oaPwdFco2IWuXBLuJs2tpjAiYYZlqugHvgSXPTA7+sC+w4kl3H\/On4FlIHT0RjHdgEmLoSuv2H1gUkoAipCJUxVzgdOnc+aKBeHbGvkq3gwhCW\/ybJkH4Jx\/qbL3Ks0SOiMv2hOOkbUytI1hn2U3yebMeI9uxDTFO0VSgFDFqmLOs3BGVmVBKVWnyGTJPpFX0oUXAc1hJ52ibQq+UGVnQXgPYRmsEuYfuMU5h9DZkNCvUMbmCu6n+ZAYBjL3WLAZypqlXjrKh7B4jRxh\/vHcn5p\/0L+2egTM0Uk6Qzb9MFHkH0k0f778xHMvJpQm2WcuOQl0BNyMaX\/oM499xrPlCepPowCoiOFSDSIhaySIxMCAdEtkV5gAjULVYvmGQJEpaJ2IRmUKiDEF55ARKTfxZXKCQoQmGMXFCT4Qjah417qCyTTzbQwryK3Q5spAxWV+bkI0eUNpBg6W0CnDRaUnyoGJCiQkNM1MEzNoJnDEEIBRRdnnDJlsMzuHgoRJOCZA2QsVkMJ4Wdb\/MBFo9ITHVHaKvrC+xBGlCbMi5ta8YIYJyZQpJPw1Q8ST7\/QR19dW0YFfIiKYwkYY7JAFjU4wfUIcSk5e6D8COJrIRroaQFPlHQkqwB4Oogj5CbopT3E7uSJ8oRNjAEEpM7WYkMfS+J9RzF9qbK00JhMCmNdqYvQkdpMmnBSeTdPo9nSmQ+iyNI0uSNNoCfGR52exSieJh7TwAxN2DPsaO5Nz9xDGN+MpI0yZmIQsyJJyOU+JE4WAzBheT4LxbKIOEjE3TBXJiU4oVu\/pLYRymY5GA0plf2k1VRY13xxrCRyh+aVCuGfoopgrr2Ie7SPyBUg9QSpPX1eTy70YqbmDCZpP8Hk4TB2ZRYFhoQvL0dEZkjVT6HwkME8KcpIoc+hUfHWcdiyhqrgxVeKlytUlTjxUhmTg1msTb770Cqw8Jos9ubJ4OvYzhhGRzpRo4o\/hTZovi+MbF6n9u\/6pKNwi0iB8ZwjgG+ISjCX3iWUXQ8mOLniOBVcpY8TEyQERr4xYODHgEIv+mwoPTNfjm1SmJNA3K0VhmEtCnGcaSu6B+OY+ZrRDjyyFRSBhPBMtljk9uhSSfndIhGjMUaDJFyEYDoacJAUCqh17UZpBCDvrjDn7p\/WITDV5ote\/EvS0WgJ+jpIJoKUtmV5Jon2R0kzYGil1Ce0zeOm8Ji6dkEJ2pobKWowk9ZTx2qnsxDtLhwlGZs6brDTzg6EyUN2EusR7iQlDparYmnmu8o8vUUPTYRlCfDpycKbdoygzoVdxIDKZQ2YKk2Mg0wcUITO8Mznum4li5l8LvUcJdEmtZQlgLHGgNFYwLarI9mIOSaUOSc3EmtZb62ytCqHXVKQiOEkejHlVJwtdRnnrkoo54Id0LMyHy2wO06+aJ08LAt9SwBS0RgtUZLqIHgG5UlRkllLlnwrJNKYQaUYq5BkzW8y71dE3WNhStVLn\/tHTX\/b0OZ5+CXUm\/44LTHkDXXpJyQNn4jITErlqR7msSiIwlsesIhbqkdIGw7iBa7S5RhoL653\/Mc88x\/X44nRDATt+StlC+cc1f7UvmT8XCqTys+dsiUSm1HWRxSYn8vMHrt38\/EfmznWKuIEdVy4oLFNpCINzyeMYp+a6BPljX5I5radElKsBMeNhM6GukJkINdWcuRhetiGTaC7vswmBJ9Y8ZXNYp+BOBZqdzhU\/TcQ0gg9GcT\/1v43wfbjwTaOv\/4Wk99CerU2UmTpSRB0xUlRMfBEKDdgggoJrGvLHBxzux++ZBnDwHWEaOnoS+flT51CK7uB74Vo8FZib5fAk889Y\/f7MT26TAEaPfkT6zdWPBeLX\/Oyx+h3NY46TXxC4+mFOH8v1BV0Cb6bwSNeJI63kYhUCVkcotolKiX0OfgRVBBAjIj9vC2FO1wyz98IaNVNGlK7zxYKG+U1FwU\/zZYpqinuGOTuuMeBgckoxtGckw+rS+SBqrm\/Rneh04soTQquIlOyUcmxhGiCVArJOOY9lQOtyXw3Znp42C33NRD5Gx+4lV8Ur47J6mpoht2BS6ahgFEaRsXAlaQrGmogxLXk3Mz2kJwZm8jGKn7TFMfoc1yh0sKP5vt\/0H+B7TL\/\/49tMkSFshnOCNgdBqoNwEtyGFwJt5MBxN2KPmMolPrJ9nUOYom8TzcUJXFyayHfjDX4J7Hdf\/hs7PPiaKizpkyjU3EKlivO\/zx5BwuP0J6fSpEquPsDv02MO2Tcm4TBZmP6hY+pnHoy\/98FAJI+S3ILUfgsuKiJZLjNj5wV9GwFnn+C0iNwntODILQQin3KjyZIvgcu1ydJQwyjN5Z1GPoBsDZtF9FQ8YA43AZHGCbFkmKw9V67pEcpPeV8DIUNd6K6gMs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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n24dz2pr.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Society and Human Development<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Spatial statistics for social data<\/h1><p class=\"nx-scene-lede\">Spatial statistics estimate social conditions for small areas and map how vulnerability and hazards overlap. In this field they produce poverty and vulnerability maps for places surveys barely cover, always with uncertainty shown.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/human-development\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/human-development\/stem\/\">Back to STEM foundation of Society and Human Development<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Spatial statistics for social data on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"workbench\"><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">STEM method<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Spatial statistics and geostatistics<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/space-earth-observation\/\">Space and Earth Observation<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Society and Human Development<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">4 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What spatial statistics and geostatistics does here.<\/h2><p class=\"nx-lede\">Spatial statistics and geostatistics analyse data that vary across space, accounting for spatial dependence. They estimate values at unsampled locations and test for spatial patterns. In society and human development and information and public trust, spatial statistics produce continuous hazard and exposure surfaces with uncertainty. They reveal geographic clustering of risks and vulnerabilities across sectors. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z\"\/><path d=\"M15 5.76v15\"\/><path d=\"M9 3.24v15\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Small-area poverty estimation<\/h3><p class=\"nx-p nx-mt-1\">Survey data are combined with census and satellite covariates to estimate poverty for districts and neighbourhoods, with uncertainty mapped beside estimates.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Vulnerability and hazard overlay<\/h3><p class=\"nx-p nx-mt-1\">Social vulnerability estimates are overlaid with hazard maps to identify places where exposure and limited <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 coping-capacity\" data-tk=\"Nexus risk vocabulary\" data-td=\"The ability to use available skills and resources to manage an adverse event or condition in the short term. Coping draws down existing reserves and may erode future capacity if used repeatedly.\" data-ts=\"NRS-C1\" data-tr=\"draft\">coping capacity<\/a> coincide.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Spatial clustering of deprivation<\/h3><p class=\"nx-p nx-mt-1\">Statistical tests identify clusters of deprivation that are unlikely to arise by chance, guiding targeted programmes.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">People and exposure in Latin America and the Caribbean.<\/h2><p class=\"nx-lede\">Population density, night lights and daytime surface heat over Latin America and the Caribbean, from NASA GIBS. Each layer carries its own date.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"latin-america:social\" data-ml-feeds=\"eonet|https:\/\/eonet.gsfc.nasa.gov\/api\/v3\/events\" data-ml-src=\"social\" data-ml-plan=\"p-c844ab15\" data-ml-view=\"2d\" data-ml-ctx=\"theme:social\" data-ml-list=\"gibs.health.people gibs.energy.ntl gibs.health.lstd gibs.water.true gibs.food.cover gibs.health.no2 ev.eonet r.hbase r.dist r.hls f.aq r.tropomi r.urbex r.labels\" data-ml-tools=\"inspect measure aoi export\"><div class=\"nx-wm\" data-nx-water=\"ctx-social\" data-wm-domain=\"ctx-social\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-118,-56,-34,33\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"People and exposure, Latin America and the Caribbean: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"lstd||||\" aria-pressed=\"false\">Surface heat<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">People and exposure, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"estimated\" data-wm-lic=\"CC BY 4.0\" data-wm-unit=\"people\/km\u00b2\">Estimated<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.health.people\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Estimated<\/dd><dt>Source<\/dt><dd>Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))<\/dd><dt>Provider<\/dt><dd>NASA SEDAC (CIESIN, Columbia University)<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener noreferrer\">CC BY 4.0<\/a><\/dd><dt>Vintage<\/dt><dd>null; Census-based estimate, static (2020)<\/dd><dt>Resolution<\/dt><dd>about 1 km grid<\/dd><dt>Uncertainty<\/dt><dd>Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"observed\" data-wm-lic=\"NASA open data\" data-wm-unit=\"nW\/(cm\u00b2 sr)\">Observed<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.energy.ntl\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Observed<\/dd><dt>Source<\/dt><dd>VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)<\/dd><dt>Provider<\/dt><dd>NASA LAADS DAAC<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener noreferrer\">NASA open data<\/a><\/dd><dt>Vintage<\/dt><dd>daily; Satellite radiance, corrected for moonlight and atmosphere<\/dd><dt>Newest at build<\/dt><dd>2026-10-12<\/dd><dt>Resolution<\/dt><dd>about 500 m grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"observed\" data-wm-lic=\"NASA open data\" data-wm-unit=\"\u00b0C\">Observed (persistent cloud still leaves gaps)<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.health.lstd\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Observed (persistent cloud still leaves gaps)<\/dd><dt>Source<\/dt><dd>VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)<\/dd><dt>Provider<\/dt><dd>NASA LANCE<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener noreferrer\">NASA open data<\/a><\/dd><dt>Vintage<\/dt><dd>8-day; Satellite 8-day composite; persistent cloud still leaves gaps<\/dd><dt>Newest at build<\/dt><dd>2026-09-14<\/dd><dt>Resolution<\/dt><dd>about 1 km grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"4\" data-wm-lag=\"1\" data-wm-op=\"0.6\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"observed\" data-wm-lic=\"NASA open data\">Observed<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.water.true\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Observed<\/dd><dt>Source<\/dt><dd>VIIRS NOAA-20 corrected reflectance (NASA LANCE)<\/dd><dt>Provider<\/dt><dd>NASA LANCE<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener noreferrer\">NASA open data<\/a><\/dd><dt>Vintage<\/dt><dd>daily; Satellite image<\/dd><dt>Newest at build<\/dt><dd>2026-10-14<\/dd><dt>Resolution<\/dt><dd>about 250 m grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"modelled\" data-wm-lic=\"NASA open data\" data-wm-unit=\"class\">Modelled (latest year GIBS publishes)<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.food.cover\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Modelled (latest year GIBS publishes)<\/dd><dt>Source<\/dt><dd>MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)<\/dd><dt>Provider<\/dt><dd>NASA LP DAAC<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener noreferrer\">NASA open data<\/a><\/dd><dt>Vintage<\/dt><dd>yearly; Satellite classification; latest year GIBS publishes<\/dd><dt>Newest at build<\/dt><dd>2024-01-01<\/dd><dt>Resolution<\/dt><dd>about 500 m grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"no2\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Nitrogen dioxide\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite retrieval; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Nitrogen dioxide, lower atmosphere column<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC OMI Aura \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"observed\" data-wm-lic=\"NASA open data\" data-wm-unit=\"10\u00b9\u2075 molecules\/cm\u00b2\">Observed (clouds leave gaps)<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"no2\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.health.no2\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Observed (clouds leave gaps)<\/dd><dt>Source<\/dt><dd>OMI Aura (NASA GES DISC)<\/dd><dt>Provider<\/dt><dd>NASA GES DISC<\/dd><dt>Licence<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener noreferrer\">NASA open data<\/a><\/dd><dt>Vintage<\/dt><dd>daily; Satellite retrieval; clouds leave gaps<\/dd><dt>Newest at build<\/dt><dd>2026-10-10<\/dd><dt>Resolution<\/dt><dd>about 2 km grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite column of nitrogen dioxide in the lower atmosphere on the day shown, mostly from combustion; not a ground-level concentration or a health warning.<\/dd><dt>Reached through<\/dt><dd>gibs.earthdata.nasa.gov, only after you allow the live map<\/dd><\/dl><\/details><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" 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data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\" aria-valuemin=\"0\" aria-valuemax=\"30\" aria-valuenow=\"30\" aria-valuetext=\"Latest available\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>People and exposure, framed on Latin America and the Caribbean.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">\u00a9 OpenStreetMap contributors<\/a> \u00b7 Natural Earth \u00b7 NASA EONET \u00b7 CIESIN\/Columbia, NASA SEDAC HBASE \u00b7 NASA JPL OPERA DIST-ALERT<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA&#8217;s Global Imagery Browse Services (GIBS), part of NASA&#8217;s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA&#8217;s Global Imagery Browse Services (GIBS), part of NASA&#8217;s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/doi.org\/10.7927\/H49C6VHW\" rel=\"noopener\">doi:10.7927\/H49C6VHW<\/a>. <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gesdisc.aura-omi-omps\">OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA\/METI\/AIST\/Japan Spacesystems and U.S.\/Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. <a class=\"nx-link\" href=\"https:\/\/doi.org\/10.5067\/ASTER\/ASTGTM.003\" rel=\"noopener\">doi:10.5067\/ASTER\/ASTGTM.003<\/a>. <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li><\/li><li>Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.<\/li><li>Live: NASA EONET Events are indicative, not authority warnings.<\/li><li>Context: CIESIN\/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.<\/li><li>Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA&#8217;s Global Imagery Browse Services (GIBS), part of NASA&#8217;s Earth Science Data and Information System (ESDIS).<\/li><li>NASA GIBS: We acknowledge the use of imagery provided by services from NASA&#8217;s Global Imagery Browse Services (GIBS), part of NASA&#8217;s Earth Science Data and Information System (ESDIS).<\/li><li>Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.<\/li><li>Weather data by Open-Meteo.com (https:\/\/open-meteo.com\/), licensed under CC BY 4.0 (https:\/\/creativecommons.org\/licenses\/by\/4.0\/).<\/li><li>Optional layers (9 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\">CC BY 4.0<\/a> \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/stem\/spatial-statistics\/#map\" data-nxf-title=\"Society and Human Development live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"social\" aria-label=\"Data, Monitor, Validation, Twin and cascade simulator\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Data, Monitor, Validation, Twin and cascade simulator\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-data\" aria-selected=\"true\" data-key=\"p1\">Data<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-5-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-checks\" aria-selected=\"false\" data-key=\"p3\">Validation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-twin\" aria-selected=\"false\" data-key=\"p4\">Twin and cascade simulator<\/button><\/div><section id=\"nx-sec-data\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by spatial statistics and geostatistics on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Household surveys with location<\/td><td data-label=\"Role\">Indicator values<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Census small-area data<\/td><td data-label=\"Role\">Covariates<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Data\">Satellite-derived covariates<\/td><td data-label=\"Role\">Covariates<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Hazard maps<\/td><td data-label=\"Role\">Exposure<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/stem\/spatial-statistics\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/stem\/spatial-statistics\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-s-5-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Spatial model.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-society-method-spatial\" data-cx=\"society.method-spatial\" data-variant=\"section\" aria-label=\"Spatial model: illustrative console with example names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Spatial model: the screen&#8217;s structure, terms and states for Society and human development.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Predictions are tested using spatial cross-validation that respects dependence. Uncertainty maps are compared with independent observations.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Model validation<\/td><td data-label=\"How it is done\">Small-area estimates are compared with direct estimates where samples are large<\/td><\/tr><tr><td data-label=\"Check\">Uncertainty mapping<\/td><td data-label=\"How it is done\">Every map is accompanied by uncertainty<\/td><\/tr><tr><td data-label=\"Check\">Privacy protection<\/td><td data-label=\"How it is done\">Maps are aggregated to avoid identifying households<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Results depend on the scale and zoning of analysis. Sparse or clustered sampling limits prediction in unsampled areas.<\/p><\/div><\/div><\/section><section id=\"nx-sec-twin\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-span=\"wide\" data-ns-layout=\"twin\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Twin and cascade simulator<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Model spatial statistics for social data as a system. Run the cascade.<\/h2><p class=\"nx-lede\">Assembled from the <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/\" data-tc=\"Nexus Standards\" data-tk=\"Nexus Standards\" data-td=\"The foundation standards\">Nexus Standards<\/a> area profile <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/societal-risk-standards\/\">Societal and information risk standards<\/a>: the hazards it names, the <a class=\"nx-link nx-term\" href=\"https:\/\/docs.therisk.global\/organization\/systems\" data-tc=\"Systems\" data-tk=\"Nexus Standards\" data-td=\"The twenty Nexus systems, NXS-CMD to NXS-LAB\">systems<\/a> and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full <a class=\"nx-link\" href=\"https:\/\/therisk.global\/system-builder\/\">System Builder<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-ns-twin\" data-ns-data=\"nx-twin-es-stem-spatial-statistics-G-P16\" data-ns-credits=\"Nexus Standards registry and area profiles; Nexus Hazard Standard NHS-1 1.1.0\"><div class=\"nx-ns-twin-static\"><div><p class=\"nx-eyebrow\">Hazards<\/p><ul class=\"nx-list\"><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h55\" data-tc=\"NHS-1 soc.armed-violence.civil-unrest\" data-tk=\"Society, conflict and economy \u00b7 Organised and collective violence\" data-td=\"Mass protest, riot or looting that disrupts order, services and movement and may turn violent.\" data-ts=\"NRS-H55\" data-tr=\"draft\">Civil unrest<\/a><\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h60\" data-tc=\"NHS-1 sys.supply-chain.supply-disruption\" data-tk=\"Systemic and compound events \u00b7 Supply-chain and flow disruption\" data-td=\"A break in the flow of goods or materials between producers and users that stops production or leaves shortages.\" data-ts=\"NRS-H60\" data-tr=\"draft\">Supply-chain disruption<\/a> (set off downstream)<\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h59\" data-tc=\"NHS-1 soc.economic.currency-crisis\" data-tk=\"Society, conflict and economy \u00b7 Economic shocks and governance failure\" data-td=\"A fast collapse in the value of a currency that drives inflation and import costs.\" data-ts=\"NRS-H59\" data-tr=\"draft\">Currency crisis<\/a> (set off downstream)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Systems and couplings<\/p><ul class=\"nx-list\"><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/societal-risk-standards\/\">Societal and information risk standards<\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/information-integrity-and-trust\/\">Information integrity and trust<\/a> <span class=\"nx-ns-sub\">Mechanism<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/health\/health-risk-standards\/\">Health risk standards<\/a> <span class=\"nx-ns-sub\">Cascade<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/political-and-governance-risk-standards\/\">Political and governance risk standards<\/a> <span class=\"nx-ns-sub\">Feedback<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/hazards\/disaster-risk-reduction\/\">Disaster risk reduction<\/a> <span class=\"nx-ns-sub\">Mechanism<\/span><\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Controls<\/p><ul class=\"nx-list\"><li><code>NS-0<\/code> Constitution and principles<\/li><li><code>NS-9<\/code> Contextual UNIs (deployments, instances, programme instances)<\/li><li><code>NS-11<\/code> Verification and monitoring (evidence, attestations, zero-trust conformance observation)<\/li><li><code>NS-12<\/code> Software, model and AI\/ML artefacts (supply chain, model cards, dataset sheets)<\/li><li><code>NRS-H117<\/code> Hazard family: Social cohesion and atrocity risk (NHS-1 soc.cohesion)<\/li><li><code>NRS-X7<\/code> Information integrity and public trust<\/li><li><code>NRS-D2<\/code> Society, inclusion and human development risk<\/li><li><code>NRS-H52<\/code> Hazard family: Information-integrity attacks (NHS-1 cyber.integrity)<\/li><li><code>NRS-H79<\/code> Hazard family: Mental health crises (NHS-1 health.mental)<\/li><li><code>NRS-H59<\/code> Hazard family: Economic shocks and governance failure (NHS-1 soc.economic)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Observation<\/p><ul class=\"nx-list\"><li>WorldPop gridded population (listed for reference)<\/li><li>World Bank Open Data and World Development Indicators API (listed for reference)<\/li><li>Global SDG Indicators Database (listed for reference)<\/li><li>Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population<\/li><li>Proportion of people living below 50 per cent of median income<\/li><li>Number of countries that adopt and implement guarantees for public access to information<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Example geography<\/p><ul class=\"nx-list\"><li>The Horn of Africa: 253 hexagonal cells<\/li><li>Night lights tonight, outages (VIIRS Day\/Night Band), NASA GIBS<\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"social\" aria-label=\"Connections, Methods and evidence, Stewardship\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Connections, Methods and evidence, Stewardship\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-connections\" aria-selected=\"true\" data-key=\"p1\">Connections<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p2\">Methods and evidence<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-stewardship\" aria-selected=\"false\" data-key=\"p3\">Stewardship<\/button><\/div><section id=\"nx-sec-connections\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/\"><span>Poverty and inequality<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/demographic-transitions\/\"><span>Demographic transitions<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/human-security-and-wellbeing\/\"><span>Human security and wellbeing<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/humanitarian-and-displacement\/\"><span>Humanitarian and displacement<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/education-and-capabilities\/\"><span>Education and capabilities<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/urban-social-vulnerability\/\"><span>Urban social vulnerability<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/inclusive-research-ethics\/\"><span>Inclusive research ethics<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/media-and-information-systems\/\"><span>Media and information systems<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/humanitarian-risk\/\"><span>Humanitarian risk<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How spatial statistics for social data is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"method-panel\"><h3 class=\"nx-h4\">Model, equations and assumptions<\/h3><p class=\"nx-p nx-au-what\">The model structure used for spatial statistics for social data, the assumptions it makes and how each is tested.<\/p><div class=\"nx-au-eqs\"><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Risk of element i<\/span><code>R<sub>i<\/sub> = f(H<sub>i<\/sub>, E<sub>i<\/sub>, V<sub>i<\/sub>, C<sub>i<\/sub>)<\/code><span class=\"nx-au-n\">hazard, exposure, vulnerability and coping capacity<\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Expected annual loss<\/span><code>EAL = &#8721;<sub>k<\/sub> p<sub>k<\/sub> &#183; L<sub>k<\/sub><\/code><span class=\"nx-au-n\">over events k with annual probability p<sub>k<\/sub><\/span><\/div><div class=\"nx-au-eq\"><span class=\"nx-au-k\">Coupled systems<\/span><code>x<sub>t+1<\/sub> = A x<sub>t<\/sub> + B u<sub>t<\/sub> + &#949;<sub>t<\/sub><\/code><span class=\"nx-au-n\">A carries the couplings, u the shock, &#949; the error<\/span><\/div><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Assumption<\/th><th scope=\"col\">Why it is made<\/th><th scope=\"col\">How it is tested<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Assumption\">Hazard and exposure are independent within an event<\/td><td data-label=\"Why it is made\">Keeps the loss integral tractable<\/td><td data-label=\"How it is tested\">Compare with a copula fit on joint records<\/td><\/tr><tr><td data-label=\"Assumption\">Couplings are linear near the operating point<\/td><td data-label=\"Why it is made\">Lets shocks propagate through A<\/td><td data-label=\"How it is tested\">Perturb beyond the linear range and compare<\/td><\/tr><tr><td data-label=\"Assumption\">Vulnerability curves transfer between places<\/td><td data-label=\"Why it is made\">Local curves are rarely available<\/td><td data-label=\"How it is tested\">Validate against observed losses where they exist<\/td><\/tr><\/tbody><\/table><\/div><dl class=\"nx-au-kv\"><div><dt>Inputs<\/dt><dd>versioned datasets with provenance<\/dd><\/div><div><dt>Outputs<\/dt><dd>distributions, never single numbers<\/dd><\/div><div><dt>Code<\/dt><dd>released with the model card and tests<\/dd><\/div><div><dt>Reproduction<\/dt><dd>same data, code, environment and seed<\/dd><\/div><\/dl><figcaption class=\"nx-caption\"><span>Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/space-earth-observation\/\">Space and Earth Observation<\/a> stewards spatial statistics and geostatistics for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\">Canonical page: Spatial statistics and geostatistics<\/a><\/p><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Process<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-gis-chain\" data-nx-pe=\"nx-pe-gis-chain\" data-active=\"gis-chain\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Spatial statistics for social data: Layers to published map<\/h2><p class=\"nx-pe-cap\">Layers enter with their rights, are aligned, analysed and checked for uncertainty, then released after public-safe review; a map is a governed spatial claim.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Data<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Source layers with their rights<\/span><span class=\"nx-pe-k\">Dataset \u00b7 <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s6\" data-tc=\"NXS-GRX\" data-tk=\"Nexus system\" data-td=\"Canonical data, provenance and risk\" data-ts=\"NRS-S6\">NXS-GRX<\/a> (canonical data, provenance and risk)<\/span><span class=\"nx-pe-sm\">Spatial views of The Global Risks Index (NXS-GRX) products sit under the boundary licence gate. Rights classification sets how a layer may be used.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Harmonise<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Coordinate reference and boundary version<\/span><span class=\"nx-pe-k\">Record \u00b7 <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s7\" data-tc=\"NXS-EOP\" data-tk=\"Nexus system\" data-td=\"Earth observation and digital twins\" data-ts=\"NRS-S7\">NXS-EOP<\/a> (earth observation and digital twins)<\/span><span class=\"nx-pe-sm\">The area of interest preserves its coordinate reference system, polygon validity and observation support. Boundary versions are kept.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Harmonise units, variables and time<\/span><span class=\"nx-pe-k\">Step<\/span><span class=\"nx-pe-sm\">Unit metadata, conversion records and transformation logs are required. Alignment is an evidence event, not hidden preprocessing.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse and check<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Analyse with a recorded processing recipe<\/span><span class=\"nx-pe-k\">Model \u00b7 GIS team<\/span><span class=\"nx-pe-sm\">A processing recipe records parameters, calibration, inputs and output lineage. The analysis methods are named in each product&#8217;s own record.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Spatial uncertainty check<\/span><span class=\"nx-pe-k\">Gate<\/span><span class=\"nx-pe-sm\">Spatial uncertainty is recorded and affects downstream use. A high-uncertainty polygon may suit internal review, not public-safe release.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Publish<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Spatial metadata bundle<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The bundle records boundary type, jurisdiction, geometry version, projection, resolution, source, time window, uncertainty and access class.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Public-safe release of the map<\/span><span class=\"nx-pe-k\">Decision<\/span><span class=\"nx-pe-sm\">The output record names the redactions, uncertainty and public-safe reviewer. A map is a governed spatial claim, never merely a picture.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/standardization\/nexus-ecosystem\/iii.-infrastructure\/operations\/nexus-ecosystem-spatio-temporal-intelligence\" rel=\"noopener\">Spatio-temporal intelligence<\/a> \u00b7 Data protocols: semantic, jurisdictional and temporal intelligence \u00b7 NXS-EOP<\/span><span>Designed programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The pages cited are design doctrine.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/space-earth-observation\/stem\/spatial-statistics\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Spatial statistics for EO<\/span><span class=\"nx-dest-why\">Space and Earth Observation stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-13-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of spatial statistics and geostatistics in this field?<\/summary><div class=\"nx-answer\">Results depend on the scale and zoning of analysis. Sparse or clustered sampling limits prediction in unsampled areas.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Predictions are tested using spatial cross-validation that respects dependence. Uncertainty maps are compared with independent observations.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method&#8217;s use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Society and Human Development<\/span><span class=\"nx-chip\">Country Systems Risk and Resilience<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/human-development\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/human-development\/stem\/spatial-statistics#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-global-human-development-stem-spatial-statistics-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-global-human-development-stem-spatial-statistics-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-global-human-development-stem-spatial-statistics-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/standards\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Nexus Standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/governance-policy\/ai-digital-governance\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> AI and digital governance<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/society\/political-and-governance-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Political and governance risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Society and Human Development<\/span><h2 id=\"nx-close-14\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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