feat: add cross-domain Mol data profile

frontend/README.md

@@ -555,6 +555,14 @@ provider technology: space/buildings, nature/agriculture, soil/relief,
 mobility/accessibility, population/services and climate/living environment.
 The central definitions live in `src/lib/sourcePortfolio.ts`.
 
+The current Map explorer also recognizes the governed `Ruimtebeslag`, `Open
+ruimte`, `Bevolking`, `Bereikbaarheid`, `Voorzieningen` and `Bodem` Datasets.
+The first five render persisted raster PNGs with product-specific legends and
+return cell-based semantic metrics; `Bodem` renders the persisted DOV polygons
+and exposes soil attributes on feature selection. A single official snapshot
+never activates Evolution by itself. Evolution is enabled only when at least
+two comparable observations exist.
+
 The domain cards count only matching `ready` Datasets as operational. Audited
 official sources that have not passed acquisition, persistence and metric
 validation remain inside the collapsed follow-up list with an explicit

frontend/src/App.tsx

@@ -191,7 +191,10 @@ function App(): JSX.Element {
       const floodHazards = datasets.filter(
         (dataset) => dataset.dataset_type === 'raster' && dataset.source_name === 'vmm_flood_hazard' && dataset.status === 'ready',
       )
-      return [...vectors, ...terrain, ...floodHazards]
+      const thematicRasters = datasets.filter(
+        (dataset) => dataset.dataset_type === 'raster' && dataset.source_name === 'department_omgeving_thematic_raster' && dataset.status === 'ready',
+      )
+      return [...vectors, ...terrain, ...floodHazards, ...thematicRasters]
     },
     [datasets],
   )

frontend/src/components/map/MapWorkspace.tsx

@@ -8,6 +8,7 @@ import { getDatasetDisplayName, getDatasetSourceDisplayName } from '../../lib/da
 import { TemporalTrendChart } from './TemporalTrendChart'
 import { terrainImageUrl } from '../../lib/terrainImage'
 import { floodHazardImageUrl } from '../../lib/floodHazardImage'
+import { thematicRasterImageUrl } from '../../lib/thematicRaster'
 
 const DEFAULT_SELECTED_FEATURE_FILENAME = 'selected-feature.geojson'
 const DEFAULT_AREA_SELECTION_FILENAME = 'area-selection.geojson'
@@ -15,7 +16,7 @@ const EMPTY_TEMPORAL_SERIES: DatasetCreateResponse[] = []
 const MOL_PROJECT_NAME = 'Mol Municipality Workbench'
 const KEMPEN_PROJECT_NAME = 'Kempen Regional Workbench'
 
-type DataThemeId = 'buildings' | 'population' | 'forest' | 'nature_value' | 'agriculture' | 'water' | 'flood_hazard' | 'elevation' | 'roads' | 'parcels'
+type DataThemeId = 'buildings' | 'space_occupation' | 'open_space' | 'population' | 'forest' | 'nature_value' | 'agriculture' | 'soil' | 'water' | 'flood_hazard' | 'elevation' | 'accessibility' | 'services' | 'roads' | 'parcels'
 
 interface DataTheme {
   id: DataThemeId
@@ -39,6 +40,20 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Gebouwen en gebouwcontouren uit GRB of een andere persistente bron.',
     tokens: ['buildings', 'building', 'gebouwen', 'gebouw', 'bebouwing', 'gbg'],
   },
+  {
+    id: 'space_occupation',
+    label: 'Ruimtebeslag',
+    shortLabel: 'Ruimtebeslag',
+    description: 'Officiële 10 m-beleidskaart van ruimte ingenomen door wonen, economie, infrastructuur en recreatie.',
+    tokens: ['space_occupation', 'ruimtebeslag', 'ruibes'],
+  },
+  {
+    id: 'open_space',
+    label: 'Open ruimte',
+    shortLabel: 'Open ruimte',
+    description: 'Officiële 10 m-beleidskaart van open ruimte buiten kernen en ruimtebeslag.',
+    tokens: ['open_space', 'open ruimte', 'openruimte'],
+  },
   {
     id: 'population',
     label: 'Bevolking',
@@ -67,6 +82,13 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Jaarlijkse officiële landbouwgebruikspercelen en hoofdteeltgroepen.',
     tokens: ['agriculture', 'agricultural', 'landbouw', 'landbouwgebruik', 'agpa'],
   },
+  {
+    id: 'soil',
+    label: 'Bodem',
+    shortLabel: 'Bodemkaart',
+    description: 'Historische DOV-bodemkartering met bodemtype, textuur en drainageklasse voor Mol.',
+    tokens: ['soil', 'bodem', 'bodemkaart', 'bodemtype', 'dov_soil_map'],
+  },
   {
     id: 'water',
     label: 'Water',
@@ -88,6 +110,20 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Maaiveld- of oppervlaktehoogte, reliëf en helling uit DHMV II.',
     tokens: ['dhmv', 'elevation', 'height', 'hoogte', 'terrain', 'surface', 'dtm', 'dsm', 'reliëf'],
   },
+  {
+    id: 'accessibility',
+    label: 'Bereikbaarheid',
+    shortLabel: 'Knooppuntwaarde',
+    description: 'Knooppuntwaarde van collectief vervoer per hectare voor referentiejaar 2022.',
+    tokens: ['accessibility', 'bereikbaarheid', 'knooppuntwaarde', 'knptw'],
+  },
+  {
+    id: 'services',
+    label: 'Voorzieningen',
+    shortLabel: 'Voorzieningenniveau',
+    description: 'Genormaliseerde nabijheid van basis-, regionale en metropolitane voorzieningen in 2022.',
+    tokens: ['services', 'voorzieningen', 'voorzieningenniveau', 'totvznv'],
+  },
   {
     id: 'roads',
     label: 'Wegen',
@@ -106,13 +142,18 @@ const DATA_THEMES: DataTheme[] = [
 
 const DATA_THEME_MAP_STYLES: Record<DataThemeId, { fill: string; line: string }> = {
   buildings: { fill: '#d45f3d', line: '#9f3e24' },
+  space_occupation: { fill: '#be3e33', line: '#8f2c24' },
+  open_space: { fill: '#267a46', line: '#175c32' },
   population: { fill: '#7559a6', line: '#5b3f88' },
   forest: { fill: '#347950', line: '#225f3b' },
   nature_value: { fill: '#9a4f64', line: '#74364a' },
   agriculture: { fill: '#7b8f32', line: '#53671d' },
+  soil: { fill: '#9a7040', line: '#6f4c27' },
   water: { fill: '#2676a8', line: '#155b85' },
   flood_hazard: { fill: '#1597c2', line: '#075985' },
   elevation: { fill: '#a57a4b', line: '#315f59' },
+  accessibility: { fill: '#0f766e', line: '#115e59' },
+  services: { fill: '#b66d16', line: '#854d0e' },
   roads: { fill: '#6b7280', line: '#4b5563' },
   parcels: { fill: '#a7792f', line: '#7d571f' },
 }
@@ -126,6 +167,12 @@ function datasetAvailabilityLabel(dataset: DatasetCreateResponse): string {
     const resolution = Number(dataset.source_metadata?.['analysis_resolution_m'])
     return `${Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'} overstromingsscenario`
   }
+  if (dataset.dataset_type === 'raster' && dataset.source_name === 'department_omgeving_thematic_raster') {
+    const resolution = Number(dataset.source_metadata?.['analysis_resolution_m'])
+    const year = Number(dataset.source_metadata?.['observation_year'])
+    const resolutionLabel = Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'
+    return `${resolutionLabel} officiële bron${Number.isFinite(year) ? ` · ${year}` : ''}`
+  }
   return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} objecten beschikbaar`
 }
 
@@ -156,6 +203,12 @@ function datasetMatchesTheme(dataset: DatasetCreateResponse, theme: DataTheme):
   if (dataset.source_name === 'digitaal_vlaanderen_dhmv') {
     return theme.id === 'elevation'
   }
+  if (dataset.source_name === 'department_omgeving_thematic_raster') {
+    return dataset.source_metadata?.['theme'] === theme.id
+  }
+  if (dataset.source_name === 'dov_soil_map') {
+    return theme.id === 'soil'
+  }
   const searchText = datasetSearchText(dataset)
   return theme.tokens.some((token) => searchText.includes(token))
 }
@@ -184,6 +237,7 @@ function pickThemeDataset(
       (dataset.source_name === 'department_omgeving_land_use' ? 90_000 : 0) +
       (dataset.source_name === 'inbo_bwk_natura2000' ? 95_000 : 0) +
       (dataset.source_name === 'agentschap_landbouw_zeevisserij_agricultural_parcels' ? 98_000 : 0) +
+      (dataset.source_name === 'department_omgeving_thematic_raster' ? 5_000_000 : 0) +
       (dataset.source_name === 'digitaal_vlaanderen_buildings_addresses_register' ? 5_000_000 : 0) +
       (dataset.source_name === 'digitaal_vlaanderen_dhmv' ? 5_000_000 : 0) +
       (dataset.source_name === 'vmm_flood_hazard' ? 5_000_000 : 0) +
@@ -763,7 +817,20 @@ export function MapWorkspace({
         opacity: 0.82,
       }
     : null
-  const activeImageOverlay = floodHazardImageOverlay ?? terrainImageOverlay ?? orthophotoImageOverlay
+  const thematicRasterBounds = activeThemeDataset?.source_name === 'department_omgeving_thematic_raster'
+    ? activeThemeDataset.source_metadata?.['bbox_epsg4326']
+    : null
+  const thematicRasterImageOverlay = activeThemeDataset?.source_name === 'department_omgeving_thematic_raster' && selectedProjectId && Array.isArray(thematicRasterBounds) && thematicRasterBounds.length === 4
+    ? {
+        url: thematicRasterImageUrl(selectedProjectId, activeThemeDataset.id),
+        bbox: thematicRasterBounds.map(Number) as [number, number, number, number],
+        label: getDatasetDisplayName(activeThemeDataset),
+        opacity: 0.78,
+      }
+    : null
+  const thematicLegendMin = String(activeThemeDataset?.source_metadata?.['legend_min_label'] ?? 'Lagere waarde')
+  const thematicLegendMax = String(activeThemeDataset?.source_metadata?.['legend_max_label'] ?? 'Hogere waarde')
+  const activeImageOverlay = thematicRasterImageOverlay ?? floodHazardImageOverlay ?? terrainImageOverlay ?? orthophotoImageOverlay
   const activeScopeProject = projects.find((project) => project.id === selectedProjectId) ?? null
   const activeScopeLabel = activeScopeProject ? operationalScopeProjectLabel(activeScopeProject) : 'Werkgebied'
   const municipalityAreaCount = areas.filter((area) => /^Gemeente\s/i.test(area.name)).length
@@ -775,7 +842,9 @@ export function MapWorkspace({
     [availableMapDatasets],
   )
   const activeTemporalSeriesGroups = themeTemporalSeriesMap[activeTheme.id]
-  const availableEvolutionThemes = DATA_THEMES.filter((theme) => themeTemporalSeriesMap[theme.id].length > 0)
+  const availableEvolutionThemes = DATA_THEMES.filter((theme) =>
+    themeTemporalSeriesMap[theme.id].some((group) => group.items.length >= 2),
+  )
   const activeTemporalSeriesGroup = activeTemporalSeriesGroups.find((group) => group.key === selectedTemporalSeriesKey)
     ?? activeTemporalSeriesGroups[0]
   const activeTemporalSeries = activeTemporalSeriesGroup?.items ?? EMPTY_TEMPORAL_SERIES
@@ -815,13 +884,28 @@ export function MapWorkspace({
     (metric) => metric.metric_key !== activeSelectionResult?.summary?.primary_metric_key,
   )
   const terrainReliefMetric = activeSupportingMetrics.find((metric) => metric.metric_key === 'relief_m')
+  const populationDensityMetric = activeSupportingMetrics.find((metric) => metric.metric_key === 'population_density_mean_per_ha')
+  const scoreMedianMetric = activeSupportingMetrics.find((metric) => metric.metric_key.endsWith('_median'))
   const activeSecondaryMetric = activeMetricUnit === 'm TAW'
     ? terrainReliefMetric ? `${terrainReliefMetric.metric_value.toLocaleString('nl-BE', { maximumFractionDigits: 2 })} m reliëf` : null
-    : selectedAreaSquareMetres && selectedAreaSquareMetres > 0
-      ? activeMetricUnit === 'ha'
+    : activeMetricUnit === 'inwoners'
+      ? populationDensityMetric ? selectionMetricLabel(populationDensityMetric) : null
+      : activeMetricUnit.startsWith('score')
+        ? scoreMedianMetric ? selectionMetricLabel(scoreMedianMetric) : null
+        : selectedAreaSquareMetres && selectedAreaSquareMetres > 0
+          ? activeMetricUnit === 'ha'
       ? `${((activeMetricValue * 10_000) / selectedAreaSquareMetres * 100).toLocaleString('nl-BE', { maximumFractionDigits: 1 })}% dekking`
       : `${(activeMetricValue / (selectedAreaSquareMetres / 1_000_000)).toLocaleString('nl-BE', { maximumFractionDigits: 1 })} ${activeMetricUnit} / km2`
       : null
+  const activeSecondaryLabel = activeMetricUnit === 'ha'
+    ? 'Aandeel selectie'
+    : activeMetricUnit === 'm TAW'
+      ? 'Reliëf'
+      : activeMetricUnit === 'inwoners'
+        ? 'Gemiddelde dichtheid'
+        : activeMetricUnit.startsWith('score')
+          ? 'Mediaan'
+          : 'Dichtheid'
   const selectedResultProperties = useMemo(() => {
     const keys = new Map<string, Set<string>>()
     for (const feature of activeSelectionResult?.geojson.features ?? []) {
@@ -1185,7 +1269,7 @@ export function MapWorkspace({
                 const dataset = themeDatasetMap[theme.id]
                 const temporalGroups = themeTemporalSeriesMap[theme.id]
                 const temporalGroup = temporalGroups[0]
-                const evolutionAvailable = temporalGroups.length > 0
+                const evolutionAvailable = temporalGroups.some((group) => group.items.length >= 2)
                 const available = Boolean(dataset) && (analysisMode === 'current' || evolutionAvailable)
                 const active = activeThemeId === theme.id
                 const firstObservation = temporalGroup?.items[0]?.observed_at
@@ -1382,7 +1466,12 @@ export function MapWorkspace({
               />
               <div className="geo-map-legend" aria-label="Kaartlegende">
                 <span><i className="geo-legend-area" /> Werkgebied</span>
-                {activeImageOverlay ? <span><i className="geo-legend-imagery" /> {activeImageOverlay.label}</span> : null}
+                {thematicRasterImageOverlay ? (
+                  <span className="geo-legend-thematic">
+                    <i className={`geo-legend-ramp geo-legend-ramp-${activeTheme.id}`} />
+                    <small>{thematicLegendMin} → {thematicLegendMax}</small>
+                  </span>
+                ) : activeImageOverlay ? <span><i className="geo-legend-imagery" /> {activeImageOverlay.label}</span> : null}
                 {analysisOverlayActive ? (
                   <>
                     <span><i className="geo-legend-layer geo-legend-layer-buildings" /> AI-kandidaten</span>
@@ -1585,7 +1674,7 @@ export function MapWorkspace({
                         <strong>{activeSelectionResult ? resultMetricLabel(activeSelectionResult) : 'Geen resultaat'}</strong>
                       </div>
                       <div>
-                        <span>{activeMetricUnit === 'ha' ? 'Aandeel selectie' : activeMetricUnit === 'm TAW' ? 'Reliëf' : 'Dichtheid'}</span>
+                        <span>{activeSecondaryLabel}</span>
                         <strong>{activeSecondaryMetric ?? (selectedDensity === null ? 'n.v.t.' : `${selectedDensity.toLocaleString('nl-BE', { maximumFractionDigits: 1 })} / km2`)}</strong>
                       </div>
                     </div>
@@ -1658,7 +1747,7 @@ export function MapWorkspace({
 
                 {analysisMode === 'current' ? (
                   <div className="geo-result-actions">
-                    <button className="secondary-action" disabled={!activeSelectionResult || activeTheme.id === 'elevation' || activeTheme.id === 'flood_hazard'} type="button" onClick={downloadActiveThemeSelection}>Download GeoJSON</button>
+                    <button className="secondary-action" disabled={!activeSelectionResult || activeThemeDataset?.dataset_type === 'raster'} type="button" onClick={downloadActiveThemeSelection}>Download GeoJSON</button>
                     <button className="secondary-action" disabled={!activeSelectionResult} type="button" onClick={copyActiveThemeSelection}>Kopieer gegevens</button>
                   </div>
                 ) : null}

frontend/src/hooks/useMapSelectionExtract.ts

@@ -4,6 +4,7 @@ import { formatError } from '../lib/formatError'
 import type { DatasetCreateResponse, VectorSelectionBBox, VectorSelectionResponse } from '../types'
 import { terrainSelectionToMapSelection } from '../lib/terrainSelection'
 import { floodHazardSelectionToMapSelection } from '../lib/floodHazardSelection'
+import { thematicRasterSelectionToMapSelection } from '../lib/thematicRaster'
 
 interface MapSelectionExtractOptions {
   selectedProjectId: string | null
@@ -42,8 +43,9 @@ export function useMapSelectionExtract({
     }
     const terrainDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'digitaal_vlaanderen_dhmv'
     const floodHazardDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'vmm_flood_hazard'
-    if (!isVectorDatasetType(selectedDataset.dataset_type) && !terrainDataset && !floodHazardDataset) {
-      setMapSelectionError('Gebiedsanalyse ondersteunt een vectorlaag, DHMV-hoogtemodel of beheerd VMM-overstromingsscenario.')
+    const thematicRasterDataset = selectedDataset.dataset_type === 'raster' && selectedDataset.source_name === 'department_omgeving_thematic_raster'
+    if (!isVectorDatasetType(selectedDataset.dataset_type) && !terrainDataset && !floodHazardDataset && !thematicRasterDataset) {
+      setMapSelectionError('Gebiedsanalyse ondersteunt een vectorlaag of een beheerd thematisch raster.')
       return null
     }
 
@@ -63,6 +65,11 @@ export function useMapSelectionExtract({
               bbox: { ...bbox, crs: 'EPSG:4326' },
               area_id: areaId,
             }))
+          : thematicRasterDataset
+            ? thematicRasterSelectionToMapSelection(await datasetsApi.selectThematicRaster(selectedProjectId, selectedDataset.id, {
+                bbox: { ...bbox, crs: 'EPSG:4326' },
+                area_id: areaId,
+              }))
         : await datasetsApi.selectVectorFeatures(selectedProjectId, selectedDataset.id, {
             bbox: { ...bbox, crs: 'EPSG:4326' },
             area_id: areaId,

frontend/src/hooks/useMapThemeSelectionInsights.ts

@@ -4,6 +4,7 @@ import { datasetsApi } from '../services/api/datasets'
 import type { DatasetCreateResponse, VectorSelectionBBox, VectorSelectionResponse } from '../types'
 import { terrainSelectionToMapSelection } from '../lib/terrainSelection'
 import { floodHazardSelectionToMapSelection } from '../lib/floodHazardSelection'
+import { thematicRasterSelectionToMapSelection } from '../lib/thematicRaster'
 
 export interface MapThemeQuery<TThemeId extends string> {
   themeId: TThemeId
@@ -66,6 +67,11 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
                   bbox,
                   area_id: areaId,
                 }))
+              : dataset.dataset_type === 'raster' && dataset.source_name === 'department_omgeving_thematic_raster'
+                ? thematicRasterSelectionToMapSelection(await datasetsApi.selectThematicRaster(selectedProjectId, dataset.id, {
+                    bbox,
+                    area_id: areaId,
+                  }))
             : await datasetsApi.selectVectorFeatures(selectedProjectId, dataset.id, {
                 bbox,
                 area_id: areaId,

frontend/src/lib/datasetDisplay.ts

@@ -9,8 +9,13 @@ const DATASET_LABEL_BY_LAYER: Record<string, string> = {
   forest: 'Bos en groen',
   nature_value: 'Natuurwaarde',
   agriculture: 'Landbouwgebruikspercelen',
+  soil: 'Digitale bodemkaart',
   flood_hazard: 'Overstromingsgevaar',
   elevation: 'Hoogte en reliëf',
+  space_occupation: 'Ruimtebeslag',
+  open_space: 'Open ruimte',
+  accessibility: 'Knooppuntwaarde',
+  services: 'Voorzieningenniveau',
   building_registry: 'Gebouwenregister',
   regional_boundary: 'Grens vervoerregio Kempen',
   municipality_boundaries: 'Gemeentegrenzen Kempen',
@@ -29,6 +34,8 @@ const DATASET_SOURCE_LABELS: Record<string, string> = {
   vrbg: 'Digitaal Vlaanderen',
   waterinfo: 'Waterinfo Vlaanderen',
   vmm_flood_hazard: 'Vlaamse Milieumaatschappij',
+  department_omgeving_thematic_raster: 'Departement Omgeving',
+  dov_soil_map: 'Databank Ondergrond Vlaanderen',
 }
 
 export function getDatasetSourceDisplayName(dataset: DatasetCreateResponse): string {
@@ -45,6 +52,10 @@ export function getDatasetDisplayName(dataset: DatasetCreateResponse): string {
     const productName = dataset.source_metadata?.['product_display_name']
     return typeof productName === 'string' && productName.trim() ? productName : 'VMM-overstromingsscenario'
   }
+  if (dataset.source_name === 'department_omgeving_thematic_raster') {
+    const productName = dataset.source_metadata?.['product_display_name']
+    return typeof productName === 'string' && productName.trim() ? productName : 'Officieel Vlaams themaraster'
+  }
   const layer = (dataset.reference_layer_name ?? dataset.source_metadata?.layer_name ?? dataset.source_metadata?.layer_type ?? '')
     .toString()
     .toLowerCase()

frontend/src/lib/sourcePortfolio.ts

@@ -35,6 +35,9 @@ const sourceNameIs = (dataset: DatasetCreateResponse, sourceName: string): boole
 const referenceLayerIs = (dataset: DatasetCreateResponse, layerName: string): boolean =>
   String(dataset.reference_layer_name ?? dataset.source_metadata?.['theme'] ?? '').toLowerCase() === layerName
 
+const thematicProductIs = (dataset: DatasetCreateResponse, productKey: string): boolean =>
+  sourceNameIs(dataset, 'department_omgeving_thematic_raster') && dataset.source_metadata?.['product_key'] === productKey
+
 export const SOURCE_DOMAINS: SourceDomainDefinition[] = [
   {
     key: 'space',
@@ -127,7 +130,7 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     metricExamples: 'hectare ruimtebeslag, aandeel, vergelijking met open ruimte',
     priority: 'next',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/ruimtebeslag-vlaanderen-toestand-2025',
-    matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_space_occupation'),
+    matches: (dataset) => thematicProductIs(dataset, 'space_occupation_2025'),
   },
   {
     key: 'settlement_typology',
@@ -137,7 +140,7 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     coverage: 'Toestand 2022',
     value: 'Begrijpelijke morfologie voor kern, lint en verspreide bebouwing.',
     metricExamples: 'oppervlakte en aandeel per morfologisch type',
-    priority: 'planned',
+    priority: 'next',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/kernen-linten-verspreide-bebouwing-in-vlaanderen-kernen-toestand-2022',
     matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_settlement_typology'),
   },
@@ -187,7 +190,7 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     metricExamples: 'hectare open ruimte, aandeel en fragmentatie',
     priority: 'planned',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/open-ruimte-vlaanderen-toestand-2022',
-    matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_open_space'),
+    matches: (dataset) => thematicProductIs(dataset, 'open_space_2022'),
   },
   {
     key: 'dhmv',
@@ -244,10 +247,10 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     owner: 'Departement Omgeving',
     coverage: '1 ha raster, toestand 2022',
     value: 'Modelmatige bereikbaarheid via collectief vervoer.',
-    metricExamples: 'gemiddelde score en aandeel per bereikbaarheidsklasse',
+    metricExamples: 'gemiddelde, mediaan en percentielen van de bronindex',
     priority: 'next',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/knooppuntwaarde-per-ha-toestand-2022',
-    matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_node_value'),
+    matches: (dataset) => thematicProductIs(dataset, 'node_value_2022'),
   },
   {
     key: 'hoppin',
@@ -295,7 +298,7 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     metricExamples: 'geschat aantal inwoners en inwoners per hectare',
     priority: 'next',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/inwonersdichtheid-per-ha-vlaanderen-toestand-2019',
-    matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_population_density'),
+    matches: (dataset) => thematicProductIs(dataset, 'population_density_2019'),
   },
   {
     key: 'service_level',
@@ -304,10 +307,10 @@ export const OFFICIAL_SOURCE_PORTFOLIO: OfficialSourceDefinition[] = [
     owner: 'Departement Omgeving',
     coverage: '1 ha raster, toestand 2022',
     value: 'Nabijheid van dagelijkse voorzieningen in één brongetrouwe score.',
-    metricExamples: 'gemiddelde score en aandeel per voorzieningsklasse',
+    metricExamples: 'gemiddelde, mediaan en percentielen van de 0-1-score',
     priority: 'next',
     url: 'https://www.vlaanderen.be/datavindplaats/catalogus/totaal-voorzieningenniveau-toestand-2022',
-    matches: (dataset) => sourceNameIs(dataset, 'department_omgeving_service_level'),
+    matches: (dataset) => thematicProductIs(dataset, 'service_level_2022'),
   },
   {
     key: 'municipality_indicators',

frontend/src/lib/thematicRaster.ts

@@ -0,0 +1,27 @@
+import type { ThematicRasterSelectionResponse, VectorSelectionResponse } from '../types'
+
+export function thematicRasterImageUrl(projectId: string, datasetId: string): string {
+  return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/thematic/image`
+}
+
+export function thematicRasterSelectionToMapSelection(result: ThematicRasterSelectionResponse): VectorSelectionResponse {
+  return {
+    selection_bbox: result.selection_bbox,
+    selection_area_id: result.selection_area_id,
+    feature_count: result.valid_cell_count,
+    total_feature_count: result.valid_cell_count,
+    limit: 0,
+    truncated: false,
+    geojson: { type: 'FeatureCollection', features: [] },
+    summary: {
+      ...result.summary,
+      feature_count: result.valid_cell_count,
+      is_estimate: true,
+      warning: result.limitation_message,
+      metrics: result.summary.metrics.map((metric) => ({
+        ...metric,
+        is_estimate: metric.is_estimate ?? true,
+      })),
+    },
+  }
+}

frontend/src/services/api/datasets.ts

@@ -24,6 +24,9 @@ import type {
   FloodHazardSelectionResponse,
   DhmvProductRead,
   TerrainSelectionResponse,
+  ThematicRasterAcquireRequest,
+  ThematicRasterProductRead,
+  ThematicRasterSelectionResponse,
 } from '../../types'
 
 const DATASET_PAGE_SIZE = 200
@@ -141,6 +144,16 @@ export const datasetsApi = {
     payload: { bbox: VectorSelectionRequest['bbox']; area_id?: string },
   ): Promise<FloodHazardSelectionResponse> =>
     apiPost<FloodHazardSelectionResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/raster/flood-hazard/select`, payload),
+  acquireThematicRaster: (projectId: string, payload: ThematicRasterAcquireRequest): Promise<JobRead> =>
+    apiPost<JobRead>(`/api/v1/projects/${projectId}/datasets/thematic-raster/acquire`, payload),
+  listThematicRasterProducts: (projectId: string): Promise<{ items: ThematicRasterProductRead[]; total: number }> =>
+    apiGet<{ items: ThematicRasterProductRead[]; total: number }>(`/api/v1/projects/${projectId}/datasets/thematic-raster/products`),
+  selectThematicRaster: (
+    projectId: string,
+    datasetId: string,
+    payload: { bbox: VectorSelectionRequest['bbox']; area_id?: string },
+  ): Promise<ThematicRasterSelectionResponse> =>
+    apiPost<ThematicRasterSelectionResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/raster/thematic/select`, payload),
   refreshMetadata: (projectId: string, datasetId: string): Promise<DatasetCreateResponse> =>
     apiPost<DatasetCreateResponse>(`/api/v1/projects/${projectId}/datasets/${datasetId}/metadata/refresh`, {}),
   inspectRaster: (projectId: string, datasetId: string): Promise<RasterInspectResponse> =>

frontend/src/styles/app.css

@@ -5751,13 +5751,18 @@ section {
 }
 
 .geo-theme-symbol-buildings { background: #d45f3d; }
+.geo-theme-symbol-space_occupation { background: #be3e33; }
+.geo-theme-symbol-open_space { background: #267a46; }
 .geo-theme-symbol-population { background: #7559a6; }
 .geo-theme-symbol-forest { background: #347950; }
 .geo-theme-symbol-nature_value { background: #9a4f64; }
 .geo-theme-symbol-agriculture { background: #7b8f32; }
+.geo-theme-symbol-soil { background: #9a7040; }
 .geo-theme-symbol-water { background: #2676a8; }
 .geo-theme-symbol-flood_hazard { background: #1597c2; }
 .geo-theme-symbol-elevation { background: #a57a4b; }
+.geo-theme-symbol-accessibility { background: #0f766e; }
+.geo-theme-symbol-services { background: #b66d16; }
 .geo-theme-symbol-roads { background: #6b7280; }
 .geo-theme-symbol-parcels { background: #a7792f; }
 
@@ -5932,6 +5937,16 @@ section {
   background: rgba(117, 89, 166, 0.24);
 }
 
+.geo-map-legend .geo-legend-layer-space_occupation {
+  border-color: #8f2c24;
+  background: rgba(190, 62, 51, 0.28);
+}
+
+.geo-map-legend .geo-legend-layer-open_space {
+  border-color: #175c32;
+  background: rgba(38, 122, 70, 0.26);
+}
+
 .geo-map-legend .geo-legend-layer-forest {
   border-color: #225f3b;
   background: rgba(52, 121, 80, 0.24);
@@ -5942,6 +5957,11 @@ section {
   background: rgba(38, 118, 168, 0.24);
 }
 
+.geo-map-legend .geo-legend-layer-soil {
+  border-color: #6f4c27;
+  background: rgba(154, 112, 64, 0.24);
+}
+
 .geo-map-legend .geo-legend-layer-flood_hazard {
   border-color: #075985;
   background: rgba(21, 151, 194, 0.28);
@@ -5952,6 +5972,16 @@ section {
   background: rgba(165, 122, 75, 0.26);
 }
 
+.geo-map-legend .geo-legend-layer-accessibility {
+  border-color: #115e59;
+  background: rgba(15, 118, 110, 0.26);
+}
+
+.geo-map-legend .geo-legend-layer-services {
+  border-color: #854d0e;
+  background: rgba(182, 109, 22, 0.26);
+}
+
 .geo-map-legend .geo-legend-layer-roads {
   border-color: #4b5563;
   background: rgba(107, 114, 128, 0.24);
@@ -5972,6 +6002,32 @@ section {
   background: linear-gradient(135deg, #7a9b68 0 33%, #d1b37a 33% 66%, #8eb5cb 66%);
 }
 
+.geo-map-legend .geo-legend-thematic {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.42rem;
+}
+
+.geo-map-legend .geo-legend-thematic small {
+  color: #42504c;
+  font-size: 0.66rem;
+  font-weight: 700;
+}
+
+.geo-map-legend .geo-legend-ramp {
+  display: block;
+  width: 3.4rem;
+  height: 0.62rem;
+  border: 1px solid rgba(23, 39, 34, 0.25);
+  border-radius: 2px;
+}
+
+.geo-legend-ramp-space_occupation { background: linear-gradient(90deg, #fbe7d3, #be3e33); }
+.geo-legend-ramp-open_space { background: linear-gradient(90deg, #ddeedb, #267a46); }
+.geo-legend-ramp-population { background: linear-gradient(90deg, #eee7f6, #673a97); }
+.geo-legend-ramp-accessibility { background: linear-gradient(90deg, #e9f1f4, #0f766e); }
+.geo-legend-ramp-services { background: linear-gradient(90deg, #fff4bf, #b66d16); }
+
 .geo-map-legend .geo-legend-added {
   border-color: #15803d;
   background: rgba(22, 163, 74, 0.2);

frontend/src/types.ts

@@ -434,6 +434,57 @@ export interface FloodHazardSelectionResponse {
   generated_at: string
 }
 
+export interface ThematicRasterAcquireRequest {
+  bbox: VectorSelectionBBox
+  area_id?: string | null
+  product_key: string
+  force_refresh?: boolean
+}
+
+export interface ThematicRasterProductRead {
+  key: string
+  display_name: string
+  theme: 'space_occupation' | 'open_space' | 'population' | 'accessibility' | 'services'
+  metric_kind: 'binary_area' | 'population_density' | 'index_score' | 'normalized_score'
+  coverage_id: string
+  native_resolution_m: number
+  source_crs: 'EPSG:31370'
+  source_value_unit: string
+  observation_year: number
+  source_version: string
+  catalog_url: string
+  attribution: string
+  license_note: string
+  legend_min_label: string
+  legend_max_label: string
+  limitation_message: string
+}
+
+export interface ThematicRasterSelectionResponse {
+  dataset_id: string
+  product_key: string
+  theme: ThematicRasterProductRead['theme']
+  metric_kind: ThematicRasterProductRead['metric_kind']
+  selection_bbox: VectorSelectionBBox
+  selection_area_id?: string | null
+  selected_cell_count: number
+  valid_cell_count: number
+  coverage_ratio: number
+  resolution_m: number
+  observation_year: number
+  summary: {
+    metric_label: string
+    metric_value: number
+    metric_unit: string
+    aggregation_method: string
+    primary_metric_key: string
+    metrics: Array<VectorSelectionMetric & { is_estimate: boolean }>
+  }
+  unsupported_metrics: string[]
+  limitation_message: string
+  generated_at: string
+}
+
 export interface MapImageOverlay {
   url: string
   bbox: [number, number, number, number]