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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1t3duu7.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 Food Nexus<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Spatial statistics for food security<\/h1><p class=\"nx-scene-lede\">Spatial statistics turns sparse surveys, soil samples and market prices into maps with stated uncertainty. In food <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> it estimates <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 food-insecurity\" data-tk=\"Nexus risk vocabulary\" data-td=\"A situation in which people lack reliable access to enough safe and nutritious food for active and healthy lives.\" data-ts=\"NRS-C1\" data-tr=\"draft\">food insecurity<\/a> for small areas, predicts soil properties between sampled profiles and tests whether price anomalies or malnutrition cluster in space.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/food-nexus\/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\/food-nexus\/stem\/\">Back to STEM foundation of Food Nexus<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"food\" 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 food security on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"console\"><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\">Food Nexus<\/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=\"supply\" data-tone=\"alt\" data-variant=\"split\" 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 food and agriculture, trade, resources and supply chains and climate and hazards, 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 estimation of food insecurity<\/h3><p class=\"nx-p nx-mt-1\">Household survey results are combined with satellite, census and market covariates to estimate <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 food-insecurity\" data-tk=\"Nexus risk vocabulary\" data-td=\"A situation in which people lack reliable access to enough safe and nutritious food for active and healthy lives.\" data-ts=\"NRS-C1\" data-tr=\"draft\">food insecurity<\/a> for districts the survey sampled too thinly, with an uncertainty for each estimate.<\/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\">Digital soil mapping<\/h3><p class=\"nx-p nx-mt-1\">Soil properties measured at sampled profiles are predicted across the landscape from terrain, climate and spectral covariates by regression kriging or machine learning, with prediction intervals mapped.<\/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=\"M19.07 4.93A10 10 0 0 0 6.99 3.34\"\/><path d=\"M4 6h.01\"\/><path d=\"M2.29 9.62A10 10 0 1 0 21.31 8.35\"\/><path d=\"M16.24 7.76A6 6 0 1 0 8.23 16.67\"\/><path d=\"M12 18h.01\"\/><path d=\"M17.99 11.66A6 6 0 0 1 15.77 16.67\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><path d=\"m13.41 10.59 5.66-5.66\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Clustering of malnutrition and price anomalies<\/h3><p class=\"nx-p nx-mt-1\">Spatial autocorrelation and hotspot tests show whether high malnutrition or price anomalies cluster, before any cause is proposed.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" 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\">Growing conditions in the Black Sea region.<\/h2><p class=\"nx-lede\">Crop greenness, root-zone soil moisture and daytime surface heat over the Black Sea region, 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=\"black-sea:food\" data-ml-feeds=\"eonet|https:\/\/eonet.gsfc.nasa.gov\/api\/v3\/events\" data-ml-src=\"food\" data-ml-plan=\"p-907412b5\" data-ml-view=\"3d\" data-ml-ctx=\"theme:food\" data-ml-list=\"gibs.food.ndvi gibs.water.rzsm gibs.health.lstd gibs.water.true gibs.food.cover gibs.food.gpp ev.eonet r.dist r.smap r.hls f.power r.dswxs1 f.ens f.era5\" data-ml-tools=\"inspect measure compare aoi export\"><div class=\"nx-wm\" data-nx-water=\"ctx-food\" data-wm-domain=\"ctx-food\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"22,39,44,50\" 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=\"Growing conditions, the Black Sea region: 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=\"ndvi||||\" aria-pressed=\"false\">Crop vigour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"rzsm||||\" aria-pressed=\"false\">Drought signal<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"lstd||||\" aria-pressed=\"false\">Surface heat<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/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\">Growing conditions, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ndvi\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Greenness (NDVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Vegetation greenness (NDVI), rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra NDVI \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"observed\" data-wm-lic=\"NASA open data\" data-wm-unit=\"NDVI\">Observed (clouds leave gaps)<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ndvi\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.food.ndvi\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Observed (clouds leave gaps)<\/dd><dt>Source<\/dt><dd>MODIS Terra NDVI (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 index; clouds leave gaps<\/dd><dt>Newest at build<\/dt><dd>2026-10-13<\/dd><dt>Resolution<\/dt><dd>about 250 m grid<\/dd><dt>Uncertainty<\/dt><dd>Satellite greenness index over the 8 days to the date shown; an indicator of crop and pasture condition, not a yield estimate or a food security 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=\"rzsm\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-short=\"Soil moisture, root zone\" data-wm-prov=\"NASA NSIDC DAAC\" data-wm-kind=\"Model with satellite data assimilated\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Root-zone soil moisture, 0 to 100 cm<\/span><span class=\"nx-wm-layer-src\">NASA NSIDC DAAC SMAP Level 4 \u00b7 <span data-wm-date=\"rzsm\">11 Oct 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"modelled\" data-wm-lic=\"NASA open data\">Modelled<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"rzsm\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.water.rzsm\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Modelled<\/dd><dt>Source<\/dt><dd>SMAP Level 4 (NASA NSIDC DAAC)<\/dd><dt>Provider<\/dt><dd>NASA NSIDC 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; Model with satellite data assimilated<\/dd><dt>Newest at build<\/dt><dd>2026-10-11<\/dd><dt>Resolution<\/dt><dd>about 2 km grid<\/dd><dt>Uncertainty<\/dt><dd>Model with satellite data assimilated. 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=\"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=\"gpp\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.85\" data-wm-short=\"Plant growth (GPP)\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite-driven model; latest 8-day period GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Gross primary production, 8-day total<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Aqua GPP (MYD17) \u00b7 <span data-wm-date=\"gpp\">30 Sep 2026<\/span><\/span><span class=\"nx-wm-layer-src\" data-wm-ep=\"modelled\" data-wm-lic=\"NASA open data\" data-wm-unit=\"kgC\/m\u00b2\">Modelled (latest 8-day period GIBS publishes)<\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"gpp\" hidden><\/div><details class=\"nx-wm-prov\" data-wm-prov-for=\"gibs.food.gpp\"><summary>About this layer<\/summary><dl class=\"nx-wm-prov-list\"><dt>Evidence<\/dt><dd>Modelled (latest 8-day period GIBS publishes)<\/dd><dt>Source<\/dt><dd>MODIS Aqua GPP (MYD17) (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>8-day; Satellite-driven model; latest 8-day period GIBS publishes<\/dd><dt>Newest at build<\/dt><dd>2026-09-30<\/dd><dt>Resolution<\/dt><dd>about 500 m grid<\/dd><dt>Uncertainty<\/dt><dd>Model estimate of carbon taken up by plants over the 8-day period shown; an indicator of growth, not harvest or production.<\/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\" 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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>Growing conditions, framed on the Black Sea region.<\/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 NASA JPL OPERA DIST-ALERT \u00b7 NASA SMAP<\/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=\"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.smap.l4\">SMAP Level 4 soil moisture and snow mass, NASA Global Modeling and Assimilation Office; distributed by the NASA National Snow and Ice Data Center 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-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>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>Observed (EO): NASA SMAP. 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>River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.<\/li><li>Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.<\/li><li>Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science\/Applied Science Program..<\/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 (13 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>Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/li><li>Root-zone soil moisture, 0 to 100 cm: SMAP Level 4, NASA NSIDC DAAC \u00b7 <span data-wm-date=\"rzsm\">11 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>Gross primary production, 8-day total: MODIS Aqua GPP (MYD17), NASA LP DAAC \u00b7 <span data-wm-date=\"gpp\">30 Sep 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\/G02\/stem\/spatial-statistics\/#map\" data-nxf-title=\"Food Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\"><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\/food-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><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 and nutrition surveys<\/td><td data-label=\"Role\">Response variables<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Soil profile databases<\/td><td data-label=\"Role\">Point observations<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Satellite covariates<\/td><td data-label=\"Role\">Predictors<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Market price monitoring<\/td><td data-label=\"Role\">Spatial price fields<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/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\/G02\/stem\/spatial-statistics\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section\" data-hue=\"supply\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-5\"><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\">Simulator<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">A shock through an input-output economy.<\/h2><p class=\"nx-lede\">A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Black Sea region; the model itself is not tied to a place.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-food-nexus-stem-spatial-statistics-0\" data-nxi=\"io\" data-nxi-id=\"io\" data-nxi-z=\"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\" aria-label=\"A shock through an input-output economy\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"bars\">By sector<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"net\">Network<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"fan\">Uncertainty<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-food-nexus-stem-spatial-statistics-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Output lost\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Sector hit first (position in the list)<\/dt><dd>0<\/dd><\/div><div><dt>Size of the shock<\/dt><dd>30% of its output<\/dd><\/div><div><dt>Duration of the shock<\/dt><dd>30 days<\/dd><\/div><div><dt>Recovery rate<\/dt><dd>0.08 per day<\/dd><\/div><div><dt>Days simulated<\/dt><dd>180 days<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Output lost over the run<\/dt><dd>0.65% of a year&#8217;s output<\/dd><\/div><div><dt>Total over direct (multiplier)<\/dt><dd>1.63 times<\/dd><\/div><div><dt>Most affected other sector<\/dt><dd>Energy<\/dd><\/div><div><dt>Its peak inoperability<\/dt><dd>3.8%<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Sector<\/th><th scope=\"col\">Peak inoperability (%)<\/th><th scope=\"col\">Output weight (%)<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">Farming<\/th><td>30.46<\/td><td>16.0<\/td><\/tr><tr><th scope=\"row\">Fertiliser and inputs<\/th><td>0.27<\/td><td>11.2<\/td><\/tr><tr><th scope=\"row\">Food processing<\/th><td>0.37<\/td><td>26.7<\/td><\/tr><tr><th scope=\"row\">Transport<\/th><td>0.50<\/td><td>12.8<\/td><\/tr><tr><th scope=\"row\">Wholesale and retail<\/th><td>3.54<\/td><td>16.6<\/td><\/tr><tr><th scope=\"row\">Energy<\/th><td>3.80<\/td><td>16.7<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>Input-output analysis <span class=\"nx-in-cite\">Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press<\/span><\/li><li>Inoperability input-output model <span class=\"nx-in-cite\">Haimes and Jiang (2001), Journal of Infrastructure Systems 7<\/span><\/li><li>Dynamic inoperability and recovery <span class=\"nx-in-cite\">Lian and Haimes (2006), Systems Engineering 9<\/span><\/li><li>Uncertainty fan (parameter Monte Carlo) <span class=\"nx-in-cite\">Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page&#8217;s map can draw:<\/p><ul class=\"nx-in-src\"><li>Seaports <span class=\"nx-in-cite\">Natural Earth<\/span><\/li><li>Maritime chokepoints <span class=\"nx-in-cite\">Nexus (named straits and canals at their published coordinates)<\/span><\/li><li>Railways <span class=\"nx-in-cite\">Natural Earth<\/span><\/li><li>Major roads <span class=\"nx-in-cite\">Natural Earth<\/span><\/li><\/ul><\/div><\/details><figcaption class=\"nx-caption\">A shock through an input-output economy. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Input-output analysis (Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press); Inoperability input-output model (Haimes and Jiang (2001), Journal of Infrastructure Systems 7); Dynamic inoperability and recovery (Lian and Haimes (2006), Systems Engineering 9).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/foundry\/\">Food Nexus in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/universe\/\">Food Nexus in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/water-food\/\">Water and Food Systems in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/reports\/\">Food Nexus in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/earth-environment\/\">Faculty of Earth and Environmental Sciences in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><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\" data-lv=\"ledger\"><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\">Spatial cross-validation<\/td><td data-label=\"How it is done\">Blocks of locations are withheld in turn so spatial dependence does not inflate apparent skill<\/td><\/tr><tr><td data-label=\"Check\">Uncertainty maps<\/td><td data-label=\"How it is done\">Every published map has a companion map of its prediction error<\/td><\/tr><tr><td data-label=\"Check\">Scale and zoning tests<\/td><td data-label=\"How it is done\">Results are re-run at different aggregation units to check that patterns are not artefacts of boundaries<\/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\" data-hue=\"food\" data-span=\"wide\" data-ns-layout=\"twin\" aria-labelledby=\"nx-s-7\"><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 food security 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\/water-food\/fao-and-food-security\/\">FAO and food security<\/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-G02\" 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-h57\" data-tc=\"NHS-1 soc.humanitarian.famine\" data-tk=\"Society, conflict and economy \u00b7 Humanitarian crises\" data-td=\"Extreme food deprivation with widespread starvation, acute malnutrition and rising deaths in a population.\" data-ts=\"NRS-H57\" data-tr=\"draft\">Famine<\/a><\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h9\" data-tc=\"NHS-1 water.flood.ice-jam-flood\" data-tk=\"Water systems \u00b7 Freshwater inundation\" data-td=\"River water backing up behind an ice blockage and flooding adjacent land, sometimes with ice and debris.\" data-ts=\"NRS-H9\" data-tr=\"draft\">Ice-jam flood<\/a><\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/hazards\/hydrometeorological-hazard-standards\/\" data-tc=\"NHS-1 atmo.cyclone.tropical-cyclone\" data-tk=\"Atmosphere and weather \u00b7 Cyclonic storm systems\" data-td=\"A warm-core rotating storm over tropical oceans whose winds, rain and surge threaten coasts and inland river basins.\" data-ts=\"NRS-H2\" data-tr=\"draft\">Tropical cyclone<\/a><\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-h5\" data-tc=\"NHS-1 atmo.thermal.heatwave\" data-tk=\"Atmosphere and weather \u00b7 Thermal extremes\" data-td=\"A spell of abnormally high temperature, often with warm nights, that overloads bodies, power grids and crops.\" data-ts=\"NRS-H5\" data-tr=\"draft\">Heatwave<\/a><\/li><li>HIV epidemic<\/li><li>Flash flood<\/li><li>Storm surge (set off downstream)<\/li><li>Intense rainfall (set off downstream)<\/li><li>River flood (set off downstream)<\/li><li>Dangerous surf (set off downstream)<\/li><li>Widespread power outage (set off downstream)<\/li><li>Mass displacement (set off downstream)<\/li><li>Coastal flood (set off downstream)<\/li><li>Extreme fire weather (set off downstream)<\/li><li><a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/hazards\/wildfire-and-vegetation-fire-standards\/\" data-tc=\"NHS-1 eco.wildfire.wildfire\" data-tk=\"Land and ecosystems \u00b7 Vegetation and peat fire\" data-td=\"An uncontrolled fire in forest, scrub or grass that burns structures, crops and habitat and fills the air with smoke.\" data-ts=\"NRS-H24\" data-tr=\"draft\">Wildfire<\/a> (set off downstream)<\/li><li>Heat-driven grid stress (set off downstream)<\/li><li>Agricultural drought (set off downstream)<\/li><li>Flash drought (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\/water-food\/fao-and-food-security\/\">FAO and food security<\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/water-food\/food-security-and-nutrition-risk\/\">Food security and nutrition risk<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/early-warning\/early-warning-and-anticipatory-action\/\">Early warning and anticipatory action<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/humanitarian\/ocha-and-humanitarian-data\/\">OCHA and humanitarian data<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/water-food\/water-risk-standards\/\">Water risk standards<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Controls<\/p><ul class=\"nx-list\"><li><code>NS-3<\/code> Risk record UNIs (grammar, legacy crosswalk, allocation authority)<\/li><li><code>NS-10<\/code> Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)<\/li><li><code>NRS-N3<\/code> Food and agriculture risk and resilience<\/li><li><code>NRS-C7<\/code> Early warning, triggers and anticipatory action<\/li><li><code>NRS-H61<\/code> Hazard family: Cascading failure (NHS-1 sys.cascade)<\/li><li><code>NRS-K40<\/code> Domain pack profile: Islands small states (DOMAIN-040)<\/li><li><code>NRS-S9<\/code> System profile: <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-s9\" data-tc=\"NXS-AAP\" data-tk=\"Nexus system\" data-td=\"Anticipatory action and triggers\" data-ts=\"NRS-S9\">NXS-AAP<\/a> (Anticipatory action and triggers)<\/li><li><code>NRS-H57<\/code> Hazard family: Humanitarian crises (NHS-1 soc.humanitarian)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Observation<\/p><ul class=\"nx-list\"><li>FAOSTAT API (listed for reference)<\/li><li>GIEWS FPMA food price monitoring tool (listed for reference)<\/li><li>FEWS NET data (listed for reference)<\/li><li>Prevalence of undernourishment<\/li><li>Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)<\/li><li>Indicator of food price anomalies<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Example geography<\/p><ul class=\"nx-list\"><li>The Ganges and Brahmaputra Basin: 178 hexagonal cells<\/li><li>Surface soil moisture (SMAP), NASA GIBS<\/li><li>Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS<\/li><li>Rain rate, last half hour (IMERG), NASA GIBS<\/li><li>Surface air temperature, daytime (AIRS), NASA GIBS<\/li><li>Night lights tonight, outages (VIIRS Day\/Night Band), NASA GIBS<\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><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\/food-nexus\/topics\/agricultural-production\/\"><span>Agricultural production<\/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\/food-nexus\/topics\/food-security-and-access\/\"><span>Food security and access<\/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\/food-nexus\/topics\/soil-and-land\/\"><span>Soil and land<\/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\/food-nexus\/topics\/food-trade-and-markets\/\"><span>Food trade and markets<\/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-signature\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-9\"><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\">Sector signature<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">The sector signature of spatial statistics for food security.<\/h2><p class=\"nx-lede\">The sectors spatial statistics for food security touches and how strongly they depend on each other: what a study has to observe and model together.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-nsig\" data-nx-sig=\"WFHB\" data-sig-name=\"Food and its partners\" data-sig-line=\"Food gives nutrition to health (0.7), land conversion to biodiversity (0.6) and withdrawals and runoff to water (0.3).\" data-sig-inst=\"The Global Centre for Risk and Innovation\"><div class=\"nx-nsig-plate\"><div class=\"nx-nsig-strip\" role=\"group\" aria-label=\"Signatures in context\" hidden><\/div><div class=\"nx-nsig-stage\"><div class=\"nx-nsig-top\"><span>Select corners \u00b7 hover lines<\/span><span class=\"nx-nsig-pairs\">6 \/ 15 relations<\/span><\/div><div class=\"nx-nsig-tilt\"><svg class=\"nx-nsig-svg\" viewBox=\"-370 -290 740 580\" role=\"img\" aria-label=\"Sector signature hexagon: Water, Food, Health and Biodiversity selected, 6 of 15 relations in play, coupling 0.46. Teaching values.\" focusable=\"false\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-nsig-read\"><div><p class=\"nx-nsig-k\">Signature<\/p><p class=\"nx-nsig-name\">Food and its partners<\/p><p class=\"nx-nsig-line\">Food gives nutrition to health (0.7), land conversion to biodiversity (0.6) and withdrawals and runoff to water (0.3).<\/p><\/div><p class=\"nx-nsig-code\" aria-live=\"polite\"><span>W<\/span> \u00b7 <span class=\"nx-nsig-off\">E<\/span> \u00b7 <span class=\"nx-nsig-off\">I<\/span> \u00b7 <span>F<\/span> \u00b7 <span>H<\/span> \u00b7 <span>B<\/span><\/p><dl class=\"nx-nsig-stats\"><div><dt>Sectors<\/dt><dd><strong>4<\/strong> <small>of 6<\/small><\/dd><\/div><div><dt>Relations<\/dt><dd><strong>6<\/strong> <small>of 15<\/small><\/dd><\/div><div><dt>Coupling<\/dt><dd><strong>0.46<\/strong> <small>share of total<\/small><\/dd><\/div><\/dl><div class=\"nx-nsig-detail\"><h3 class=\"nx-nsig-dh\">Strongest relations in play<\/h3><ul class=\"nx-nsig-rel\"><li><span class=\"nx-nsig-rt\"><b>Food \u2192 Biodiversity<\/b> \u00b7 land conversion<\/span><span class=\"nx-nsig-bar\" data-v=\"6\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.6<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Water \u2192 Food<\/b> \u00b7 irrigation<\/span><span class=\"nx-nsig-bar\" data-v=\"8\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.8<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Water \u2192 Biodiversity<\/b> \u00b7 environmental flows<\/span><span class=\"nx-nsig-bar\" data-v=\"6\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.6<\/span><\/li><li><span class=\"nx-nsig-rt\"><b>Food \u2192 Health<\/b> \u00b7 nutrition<\/span><span class=\"nx-nsig-bar\" data-v=\"7\" aria-hidden=\"true\"><i><\/i><\/span><span class=\"nx-nsig-v\">0.7<\/span><\/li><\/ul><\/div><div class=\"nx-nsig-actions\" hidden><button type=\"button\" class=\"nx-nsig-btn\" data-sig-act=\"all\">Select all<\/button><button type=\"button\" class=\"nx-nsig-btn\" data-sig-act=\"clear\">Clear<\/button><button type=\"button\" class=\"nx-nsig-btn nx-nsig-pri\" data-sig-act=\"copy\">Copy signature<\/button><\/div><\/div><\/div><figcaption class=\"nx-nsig-note\">Teaching values for a typical city-region, not measurements for any place. Coupling is the summed strength of the relations in play, as a share of all fifteen.<\/figcaption><\/figure><\/div><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><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><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"supply\" 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\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How spatial statistics for food security 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=\"system-model\"><h3 class=\"nx-h4\">System model<\/h3><p class=\"nx-p nx-au-what\">The couplings between the systems in spatial statistics for food security: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 250\" role=\"img\" aria-label=\"Causal loop diagram of Food, Trade, Climate, Communities, Economy\" focusable=\"false\"><line class=\"nx-au-ac\" x1=\"280\" y1=\"32\" x2=\"398.6\" y2=\"91.42\"\/><text class=\"nx-au-t nx-au-sign\" x=\"339.3\" y=\"57.71\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ax\" x1=\"280\" y1=\"32\" x2=\"206.7\" y2=\"187.58\"\/><line class=\"nx-au-ln\" x1=\"398.6\" y1=\"91.42\" x2=\"353.3\" y2=\"187.58\"\/><text class=\"nx-au-t nx-au-sign\" x=\"375.95\" y=\"135.5\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ax\" x1=\"398.6\" y1=\"91.42\" x2=\"161.4\" y2=\"91.42\"\/><line class=\"nx-au-ln\" x1=\"353.3\" y1=\"187.58\" x2=\"206.7\" y2=\"187.58\"\/><text class=\"nx-au-t nx-au-sign\" x=\"280\" y=\"183.58\" text-anchor=\"middle\">\u2212<\/text><line class=\"nx-au-ln\" x1=\"206.7\" y1=\"187.58\" x2=\"161.4\" y2=\"91.42\"\/><text class=\"nx-au-t nx-au-sign\" x=\"184.05\" y=\"135.5\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"161.4\" y1=\"91.42\" x2=\"280\" y2=\"32\"\/><text class=\"nx-au-t nx-au-sign\" x=\"220.7\" y=\"57.71\" text-anchor=\"middle\">+<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"280.0\" cy=\"32.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"20\" text-anchor=\"middle\">Food<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"398.6\" cy=\"91.4\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"410.6\" y=\"95.42\" text-anchor=\"start\">Trade<\/text><circle class=\"nx-au-nd\" cx=\"353.3\" cy=\"187.6\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"365.3\" y=\"205.58\" text-anchor=\"start\">Climate<\/text><circle class=\"nx-au-nd\" cx=\"206.7\" cy=\"187.6\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"194.7\" y=\"205.58\" text-anchor=\"end\">Communities<\/text><circle class=\"nx-au-nd\" cx=\"161.4\" cy=\"91.4\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"149.4\" y=\"95.42\" text-anchor=\"end\">Economy<\/text><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"114\" text-anchor=\"middle\">R  reinforcing<\/text><text class=\"nx-au-t\" x=\"280\" y=\"132\" text-anchor=\"middle\">B  balancing<\/text><\/svg><\/div><figcaption class=\"nx-caption\"><span>Causal loop diagram from the page&#8217;s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.<\/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-s-12-sec\" class=\"nx-section\" data-hue=\"climate\" 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=\"food\" 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=\"supply\" 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\">Food Nexus<\/span><span class=\"nx-chip\">Global Sector Risk and Resilience<\/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\/food-nexus\/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\/food-nexus\/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-herisk-global-food-nexus-stem-spatial-statistics-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-herisk-global-food-nexus-stem-spatial-statistics-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-herisk-global-food-nexus-stem-spatial-statistics-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/sectors\/food#what-food-gives\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Food<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\/earth-environment\/food-agriculture\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Food systems and agriculture<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\/water-food\/water-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Water 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\">Food Nexus<\/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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