{"id":168,"date":"2026-10-13T12:33:36","date_gmt":"2026-10-13T12:33:36","guid":{"rendered":"https:\/\/therisk.global\/nexus-foundry\/?page_id=168"},"modified":"2026-10-13T23:17:43","modified_gmt":"2026-10-13T23:17:43","slug":"geospatial","status":"publish","type":"page","link":"https:\/\/therisk.global\/nexus-foundry\/stem\/geospatial\/","title":{"rendered":"Geospatial infrastructure at Nexus Foundry"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/nexus-foundry\/stem\/geospatial\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n27cshv4.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n27cshv4.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n27cshv4.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n27cshv4.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n27cshv4.nxe :where(ul,ol){padding-left:20px}#nxe-n27cshv4.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n27cshv4.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n27cshv4.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n27cshv4.nxe svg{display:none}#nxe-n27cshv4.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n27cshv4.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n27cshv4.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-hero\" data-layout=\"protocol\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G09 \u00b7 METHOD \u00b7 geospatial<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Nexus Foundry<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Method page \u00b7 Geospatial information systems<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Geospatial infrastructure at Nexus Foundry<\/h1><p class=\"nx-tagline\">Geospatial information systems give every record a place: hazard grids, asset registers, boundaries and imagery brought into one frame. In this field they also carry the sharpest disclosure risks, so the work runs from coordinate reference and catalogue through to a recorded public-safe release decision.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/nexus-foundry\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/nexus-foundry\/stem\/\">Back to STEM foundation of Nexus Foundry<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">6 steps<\/span><\/div><ol><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">In brief<\/span><span class=\"nx-lv-steps-d\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What geospatial information systems does here<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Key terms<\/span><span class=\"nx-lv-steps-d\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-canvas\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Canvas<\/span><span class=\"nx-lv-steps-d\">The method as a run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">06<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-s-3-sec\"><span>02<\/span>Spatial model, in outline<\/a><a href=\"#nx-sec-application\"><span>03<\/span>What geospatial information systems\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>05<\/span>Land surface in Canada<\/a><a href=\"#nx-sec-canvas\"><span>06<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>07<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>08<\/span>How results are checked<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-2\"><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\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Geospatial data infrastructure is the set of catalogues, services, standards and policies that let spatial data be found, combined and served. Here it brings hazard grids, asset registers, boundaries and imagery into one frame, with coordinate references and catalogues, and ends with a recorded decision on what is safe to publish.<\/p><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><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\">Console<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Spatial model, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this method: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-foundry-method-spatial\" data-cx=\"foundry.method-spatial\" data-variant=\"section\" aria-label=\"Spatial model: illustrative console with placeholder names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Spatial model: the screen's structure, terms and states for Foundry.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-4\"><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\">Application<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What geospatial information systems does here.<\/h2><p class=\"nx-lede\">Geospatial information systems capture, store, analyse and present location-referenced data. They provide the common spatial frame for combining hazard, exposure and vulnerability information. In data and compute and methods and modelling, geospatial analysis identifies where hazards overlap critical assets and vulnerable populations. It supports location-based planning across infrastructure, health and finance. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/technology\/geospatial\/\">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=\"M13 7 9 3 5 7l4 4\"\/><path d=\"m17 11 4 4-4 4-4-4\"\/><path d=\"m8 12 4 4 6-6-4-4Z\"\/><path d=\"m16 8 3-3\"\/><path d=\"M9 21a6 6 0 0 0-6-6\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Imagery catalogues through STAC<\/h3><p class=\"nx-p nx-mt-1\">Satellite and aerial products are indexed as STAC items with footprint, time, sensor and processing level, so analysts query by place and date and analysis runs next to the archive.<\/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\">Exposure overlays with stated aggregation<\/h3><p class=\"nx-p nx-mt-1\">Hazard layers are intersected with buildings, population grids and networks on a common equal-area grid, with the aggregation unit and denominators stated beside every count.<\/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=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Public-safe map release<\/h3><p class=\"nx-p nx-mt-1\">Before publication, sensitive layers are generalised, small counts are suppressed and combinations with other public data are reviewed; the release record names the person who decided.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\"><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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">OGC API<\/td><td data-label=\"Definition\">A family of Open Geospatial Consortium web interface standards for serving features, maps, tiles and coverages.<\/td><\/tr><tr><td data-label=\"Term\">Exposure overlay<\/td><td data-label=\"Definition\">Intersecting a hazard layer with population or asset layers to estimate what is exposed.<\/td><\/tr><tr><td data-label=\"Term\">Public-safe release<\/td><td data-label=\"Definition\">A recorded decision on the detail at which a layer may be published without exposing sensitive sites or people.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-6\"><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\">Geography<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Land surface in Canada.<\/h2><p class=\"nx-lede\">Surface classes an Earth-observation programme reads: ranges, deserts, glaciers, lakes and reefs, shown for Canada as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"canada:earth\" data-ramp=\"green\" data-basis=\"case\" data-focus=\"0 0 2000 1020|770 -8 1399 648|1219 358 1622 804|616 -8 938 467\"><figure class=\"nx-fk\" data-fk=\"map-canada-earth\" data-ramp=\"green\" 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\"><figcaption class=\"nx-fk-cap\"><span>Surface classes an Earth-observation programme reads: ranges, deserts, glaciers, lakes and reefs.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G09\/stem\/geospatial\/#map\" data-nxf-title=\"Nexus Foundry live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Nexus Foundry \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Geospatial information systems as applied here<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g09-stem-geospatial-gis-chain-t nx-dag-g09-stem-geospatial-gis-chain-d\" data-nx-z=\"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\"><title id=\"nx-dag-g09-stem-geospatial-gis-chain-t\">Geospatial information systems in Nexus Foundry: from layers to a published map<\/title><desc id=\"nx-dag-g09-stem-geospatial-gis-chain-d\">Layers are ingested with their licences, reprojected and harmonised, analysed (overlay, zonal statistics, indices), checked for uncertainty and published as a map with its passport. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-8\"><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\">Data<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by geospatial information systems 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\/nexus-foundry\/research\/\">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\">Copernicus DEM<\/td><td data-label=\"Role\">Terrain, drainage and inundation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Data\">OpenStreetMap<\/td><td data-label=\"Role\">Roads, buildings and facilities<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Administrative boundaries<\/td><td data-label=\"Role\">Reporting units<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Data\">Sentinel-2 and Landsat imagery<\/td><td data-label=\"Role\">Land cover and change<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Gridded population<\/td><td data-label=\"Role\">Exposure denominators<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G09\/stem\/geospatial\/#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\/G09\/stem\/geospatial\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><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\">Validation<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Positional and attribute accuracy are checked against surveyed control points and reference datasets. Topology rules and metadata standards ensure consistency.<\/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\">Reference system check<\/td><td data-label=\"How it is done\">Every layer's horizontal and vertical reference is declared, and transformations use EPSG definitions<\/td><\/tr><tr><td data-label=\"Check\">Positional accuracy<\/td><td data-label=\"How it is done\">Layers are compared with surveyed control points and the error is published with the layer<\/td><\/tr><tr><td data-label=\"Check\">Topology validation<\/td><td data-label=\"How it is done\">Gaps, overlaps and invalid geometries are detected before any overlay<\/td><\/tr><tr><td data-label=\"Check\">Disclosure review<\/td><td data-label=\"How it is done\">Published resolution and layer combinations are checked so no facility or household can be singled out<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Errors in projection, scale and data currency propagate through analysis. Aggregation to administrative units can mask local variation.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-10\"><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\">Connections<\/span><\/div><h2 id=\"nx-s-10\" 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\/nexus-foundry\/topics\/maps-and-gis\/\"><span>Maps and GIS<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-foundry\/topics\/grix-evidence\/\"><span>GRIx evidence<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-foundry\/topics\/compute-and-edge\/\"><span>Compute and edge<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><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-11\" 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 geospatial information systems 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\/technology\/geospatial\/\">Canonical page: Geospatial information systems<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"infrastructure\" aria-labelledby=\"nx-s-12\"><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\">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\/stem\/technology\/geospatial\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Geospatial information systems<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/space-earth-observation\/stem\/geospatial\/\"><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\">Geospatial integration<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><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\">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 geospatial information systems in this field?<\/summary><div class=\"nx-answer\">Errors in projection, scale and data currency propagate through analysis. Aggregation to administrative units can mask local variation.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Positional and attribute accuracy are checked against surveyed control points and reference datasets. Topology rules and metadata standards ensure consistency.<\/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. 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