Federate official Belgium data sources

frontend/src/components/WorkbenchStatusStrip.test.tsx

@@ -0,0 +1,64 @@
+import { cleanup, render, screen } from '@testing-library/react'
+import { afterEach, describe, expect, it } from 'vitest'
+import type { AreaRead, DatasetCreateResponse, ProjectRead } from '../types'
+import { WorkbenchStatusStrip } from './WorkbenchStatusStrip'
+
+const project = {
+  id: 'project-1',
+  name: 'Belgium and North Sea Workbench',
+  region: 'Belgium and Belgian North Sea',
+} as unknown as ProjectRead
+
+const areas = [{ id: 'area-1', name: 'Belgium land' }] as unknown as AreaRead[]
+
+function renderStatus(datasets: DatasetCreateResponse[]): void {
+  render(
+    <WorkbenchStatusStrip
+      selectedProject={project}
+      areas={areas}
+      datasets={datasets}
+      qualityChecks={[]}
+      exports={[]}
+      activeLayerFeatureCount={1}
+      selectedAreaHasGeometry
+    />,
+  )
+}
+
+afterEach(cleanup)
+
+describe('WorkbenchStatusStrip analytical readiness', () => {
+  it('treats the persisted NGI administrative baseline as analyzable', () => {
+    renderStatus([
+      {
+        id: 'dataset-1',
+        dataset_type: 'vector',
+        source: 'operator_official_import',
+        source_name: 'ngi_adminvector',
+        reference_layer_name: 'belgium_municipalities',
+        dataset_role: 'reference',
+        status: 'ready',
+      } as unknown as DatasetCreateResponse,
+    ])
+
+    expect(screen.getByText('Kaartwerkruimte is gebruiksklaar')).toBeTruthy()
+    expect(screen.getByText("1 analysethema")).toBeTruthy()
+  })
+
+  it('does not call an unrelated stored context file an analysis theme', () => {
+    renderStatus([
+      {
+        id: 'dataset-2',
+        dataset_type: 'vector',
+        source: 'manual',
+        source_name: 'manual',
+        reference_layer_name: 'custom_context',
+        dataset_role: 'reference',
+        status: 'ready',
+      } as unknown as DatasetCreateResponse,
+    ])
+
+    expect(screen.getByText('Kaartwerkruimte vraagt aandacht')).toBeTruthy()
+    expect(screen.getByText("0 analysethema's")).toBeTruthy()
+  })
+})

frontend/src/components/WorkbenchStatusStrip.tsx

@@ -32,6 +32,59 @@ function countReferenceDatasets(datasets: DatasetCreateResponse[]): number {
   return datasets.filter((dataset) => dataset.dataset_role === 'reference').length
 }
 
+const ANALYTICAL_SOURCE_NAMES = new Set([
+  'ngi_adminvector',
+  'rbins_marine_reporting_units',
+  'rbins_msp_2026',
+  'grb',
+  'department_omgeving_land_use',
+  'historical_landuse',
+  'department_omgeving_thematic_raster',
+  'statbel',
+  'inbo_bwk_natura2000',
+  'agentschap_landbouw_zeevisserij_agricultural_parcels',
+  'dov_soil_map',
+  'digitaal_vlaanderen_dhmv',
+  'vmm_flood_hazard',
+  'vmm_vha_bathymetry_profiles',
+])
+
+const ANALYTICAL_LAYER_NAMES = new Set([
+  'administrative',
+  'belgium_land_boundary',
+  'belgium_regions',
+  'belgium_provinces',
+  'belgium_municipalities',
+  'buildings',
+  'roads',
+  'water',
+  'parcels',
+  'population',
+  'forest',
+  'nature_value',
+  'agriculture',
+  'soil',
+  'bathymetry',
+  'flood_hazard',
+  'elevation',
+  'maritime_planning',
+  'marine_environment',
+  'marine_legal_scopes',
+  'marine_spatial_plan_2026',
+])
+
+function isAnalyzableDataset(dataset: DatasetCreateResponse): boolean {
+  if (dataset.status !== 'ready') return false
+  const sourceName = String(dataset.source_name ?? dataset.source ?? '').toLowerCase()
+  const layerName = String(
+    dataset.source_metadata?.['theme']
+      ?? dataset.reference_layer_name
+      ?? dataset.source_metadata?.['layer_type']
+      ?? '',
+  ).toLowerCase()
+  return ANALYTICAL_SOURCE_NAMES.has(sourceName) || ANALYTICAL_LAYER_NAMES.has(layerName)
+}
+
 function statusLabel(state: StatusItem['state']): string {
   if (state === 'ready') return 'gereed'
   if (state === 'warning') return 'aandacht'
@@ -73,6 +126,7 @@ export function WorkbenchStatusStrip({
   selectedAreaHasGeometry,
 }: WorkbenchStatusStripProps): JSX.Element {
   const readyDatasets = datasets.filter((dataset) => dataset.status === 'ready').length
+  const analyzableDatasets = datasets.filter(isAnalyzableDataset).length
   const vectorDatasets = countByDatasetType(datasets, 'vector') + countByDatasetType(datasets, 'geojson')
   const rasterDatasets = countByDatasetType(datasets, 'raster')
   const referenceDatasets = countReferenceDatasets(datasets)
@@ -97,9 +151,12 @@ export function WorkbenchStatusStrip({
     {
       key: 'datasets',
       label: 'Bronnen',
-      value: `${readyDatasets}/${datasets.length} beschikbaar`,
-      detail: `${vectorDatasets} kaartlagen, ${rasterDatasets} luchtbeelden, ${referenceDatasets} officiële referenties`,
-      state: datasets.length === 0 ? 'waiting' : readyDatasets === datasets.length ? 'ready' : 'warning',
+      value: `${analyzableDatasets} analysethema${analyzableDatasets === 1 ? '' : "'s"}`,
+      detail: (
+        `${readyDatasets}/${datasets.length} bronnen gereed · `
+        + `${vectorDatasets} kaartlagen, ${rasterDatasets} rasters, ${referenceDatasets} officiële referenties`
+      ),
+      state: analyzableDatasets === 0 ? 'waiting' : readyDatasets === datasets.length ? 'ready' : 'warning',
     },
     {
       key: 'map',

frontend/src/components/map/MapWorkspace.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useMemo, useRef, useState, type KeyboardEvent } from 'react'
+import { useCallback, useEffect, useMemo, useRef, useState, type KeyboardEvent } from 'react'
 import GeoMap from '../GeoMap'
 import type { AreaRead, CoverageResolveResponse, CoverageStatus, DatasetCreateResponse, DetectionQaResult, MapResultExportRequest, MapViewportState, OrthophotoAcquisitionResult, OrthophotoProductRead, ProjectRead, QaComparisonResult, VectorSelectionBBox, VectorSelectionMetric, VectorSelectionResponse } from '../../types'
 import { useMapThemeSelectionInsights, type MapThemeAcquisition, type MapThemeQuery } from '../../hooks/useMapThemeSelectionInsights'
@@ -30,10 +30,12 @@ import {
   normalizeBboxFromCorners,
   operationalScopeProjectLabel,
   parseBboxInput,
+  productCoversZones,
   readablePropertyName,
   resultCountLabel,
   resultMetricLabel,
   safeFileStem,
+  selectedAreaCoverageZones,
   selectedFeatureCollection,
   selectionAreaSquareMetres,
   selectionMetricLabel,
@@ -43,7 +45,26 @@ const DEFAULT_SELECTED_FEATURE_FILENAME = 'selected-feature.geojson'
 const DEFAULT_AREA_SELECTION_FILENAME = 'area-selection.geojson'
 const EMPTY_TEMPORAL_SERIES: DatasetCreateResponse[] = []
 
-type DataThemeId = 'buildings' | 'space_occupation' | 'open_space' | 'population' | 'forest' | 'nature_value' | 'agriculture' | 'soil' | 'water' | 'bathymetry' | 'flood_hazard' | 'elevation' | 'accessibility' | 'services' | 'roads' | 'parcels'
+type DataThemeId =
+  | 'administrative'
+  | 'buildings'
+  | 'space_occupation'
+  | 'open_space'
+  | 'population'
+  | 'forest'
+  | 'nature_value'
+  | 'agriculture'
+  | 'soil'
+  | 'water'
+  | 'bathymetry'
+  | 'flood_hazard'
+  | 'elevation'
+  | 'accessibility'
+  | 'services'
+  | 'roads'
+  | 'parcels'
+  | 'maritime_planning'
+  | 'marine_environment'
 
 interface DataTheme {
   id: DataThemeId
@@ -67,6 +88,13 @@ interface OnDemandMapProduct extends MapThemeAcquisition {
 }
 
 const DATA_THEMES: DataTheme[] = [
+  {
+    id: 'administrative',
+    label: 'Bestuurlijke indeling',
+    shortLabel: 'Bestuursgebieden',
+    description: 'Officiële lands-, gewest-, provincie- en gemeentegrenzen van het NGI.',
+    tokens: ['administrative', 'adminvector', 'belgium_land_boundary', 'belgium_regions', 'belgium_provinces', 'belgium_municipalities'],
+  },
   {
     id: 'buildings',
     label: 'Bebouwing',
@@ -179,9 +207,24 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Kadastrale of administratieve perceelcontouren.',
     tokens: ['parcels', 'parcel', 'percelen', 'perceel', 'cadastre', 'kadaster'],
   },
+  {
+    id: 'maritime_planning',
+    label: 'Maritieme planning',
+    shortLabel: 'Plan- en gebruikszones',
+    description: 'Officiële gebruiks- en beschermingszones uit het Belgisch Marien Ruimtelijk Plan 2026-2034.',
+    tokens: ['maritime_planning', 'marine_spatial_plan', 'rbins_msp', 'bmsp', 'imsp26'],
+  },
+  {
+    id: 'marine_environment',
+    label: 'Mariene rapportagezones',
+    shortLabel: 'Zeegebieden',
+    description: 'Officiële juridische en mariene rapportagegebieden voor het Belgische deel van de Noordzee.',
+    tokens: ['marine_environment', 'marine_legal_scopes', 'marine_reporting_units', 'rbins_marine_reporting'],
+  },
 ]
 
 const COVERAGE_THEME_BY_MAP_THEME: Record<DataThemeId, string> = {
+  administrative: 'admin',
   buildings: 'buildings',
   space_occupation: 'land_cover_use',
   open_space: 'land_cover_use',
@@ -198,6 +241,8 @@ const COVERAGE_THEME_BY_MAP_THEME: Record<DataThemeId, string> = {
   services: 'population',
   roads: 'roads',
   parcels: 'parcels',
+  maritime_planning: 'maritime_planning',
+  marine_environment: 'marine_environment',
 }
 
 function coverageStatusLabel(status: CoverageStatus): string {
@@ -225,6 +270,7 @@ function coverageZoneLabel(zone: string): string {
 }
 
 const DATA_THEME_MAP_STYLES: Record<DataThemeId, { fill: string; line: string }> = {
+  administrative: { fill: '#5f6f7f', line: '#344554' },
   buildings: { fill: '#d45f3d', line: '#9f3e24' },
   space_occupation: { fill: '#be3e33', line: '#8f2c24' },
   open_space: { fill: '#267a46', line: '#175c32' },
@@ -241,6 +287,8 @@ const DATA_THEME_MAP_STYLES: Record<DataThemeId, { fill: string; line: string }>
   services: { fill: '#b66d16', line: '#854d0e' },
   roads: { fill: '#6b7280', line: '#4b5563' },
   parcels: { fill: '#a7792f', line: '#7d571f' },
+  maritime_planning: { fill: '#2f7f8f', line: '#145d6a' },
+  marine_environment: { fill: '#3475a3', line: '#1c557d' },
 }
 
 function datasetAvailabilityLabel(
@@ -274,6 +322,15 @@ function datasetAvailabilityLabel(
     const resolutionLabel = Number.isFinite(resolution) ? `${resolution.toLocaleString('nl-BE')} m` : 'Raster'
     return `${resolutionLabel} officiële bron${Number.isFinite(year) ? ` · ${year}` : ''}`
   }
+  if (dataset.source_name === 'ngi_adminvector') {
+    return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} officiële bestuursgebieden`
+  }
+  if (dataset.source_name === 'rbins_msp_2026') {
+    return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} officiële planobjecten · 2026-2034`
+  }
+  if (dataset.source_name === 'rbins_marine_reporting_units') {
+    return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} officiële zeegebieden`
+  }
   return `${(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} objecten beschikbaar`
 }
 
@@ -313,6 +370,15 @@ function datasetMatchesTheme(dataset: DatasetCreateResponse, theme: DataTheme):
   if (dataset.source_name === 'dov_soil_map') {
     return theme.id === 'soil'
   }
+  if (dataset.source_name === 'ngi_adminvector') {
+    return theme.id === 'administrative'
+  }
+  if (dataset.source_name === 'rbins_msp_2026') {
+    return theme.id === 'maritime_planning'
+  }
+  if (dataset.source_name === 'rbins_marine_reporting_units') {
+    return theme.id === 'marine_environment'
+  }
   const searchText = datasetSearchText(dataset)
   return theme.tokens.some((token) => searchText.includes(token))
 }
@@ -342,8 +408,17 @@ function datasetProductKey(dataset: DatasetCreateResponse): string {
 function datasetCoversSelectedArea(
   dataset: DatasetCreateResponse,
   selectedAreaId: string | null,
+  selectedAreaName: string | null | undefined,
   regionalScope = false,
 ): boolean {
+  const selectedZones = selectedAreaCoverageZones(selectedAreaName)
+  const configuredZones = dataset.source_metadata?.['coverage_zones']
+  if (selectedZones && Array.isArray(configuredZones) && configuredZones.length > 0) {
+    const datasetZones = configuredZones.map((zone) => String(zone))
+    if (!selectedZones.some((zone) => datasetZones.includes(zone))) {
+      return false
+    }
+  }
   const coverageScope = String(dataset.source_metadata?.['coverage_scope'] ?? '')
   if (isPartitionedBathymetry(dataset)) {
     return regionalScope
@@ -363,6 +438,7 @@ function rasterPartitionsForDataset(
   datasets: DatasetCreateResponse[],
   representative: DatasetCreateResponse | null,
   selectedAreaId: string | null,
+  selectedAreaName: string | null | undefined,
   regionalScope: boolean,
 ): DatasetCreateResponse[] {
   if (!representative) {
@@ -382,7 +458,7 @@ function rasterPartitionsForDataset(
             ? String(dataset.source_metadata?.['partition_manifest_sha256'] ?? '') === manifestSha256
             : datasetProductKey(dataset) === productKey
         )
-        && datasetCoversSelectedArea(dataset, selectedAreaId, true),
+        && datasetCoversSelectedArea(dataset, selectedAreaId, selectedAreaName, true),
     )
     .sort((left, right) => String(left.area_id ?? '').localeCompare(String(right.area_id ?? '')))
 }
@@ -391,12 +467,13 @@ function pickThemeDataset(
   datasets: DatasetCreateResponse[],
   theme: DataTheme,
   selectedAreaId: string | null,
+  selectedAreaName: string | null | undefined,
   regionalScope = false,
 ): DatasetCreateResponse | null {
   const candidates = datasets.filter(
     (dataset) =>
       datasetMatchesTheme(dataset, theme)
-      && datasetCoversSelectedArea(dataset, selectedAreaId, regionalScope),
+      && datasetCoversSelectedArea(dataset, selectedAreaId, selectedAreaName, regionalScope),
   )
   candidates.sort((left, right) => {
     const priorityScore = (dataset: DatasetCreateResponse) =>
@@ -723,7 +800,15 @@ export function MapWorkspace({
   })
   const activeScopeProject = projects.find((project) => project.id === selectedProjectId) ?? null
   const activeScopeLabel = activeScopeProject ? operationalScopeProjectLabel(activeScopeProject) : 'Werkgebied'
-  const flandersScopeSelected = activeScopeProject?.name === FLANDERS_WORKSPACE_PROJECT_NAME
+  const selectedMapArea = areas.find((area) => area.id === selectedMapAreaId)
+  const selectedCoverageZones = useMemo(
+    () => selectedAreaCoverageZones(selectedMapArea?.name),
+    [selectedMapArea?.name],
+  )
+  const flandersScopeSelected = Boolean(
+    selectedCoverageZones?.includes('flanders')
+      || (!selectedCoverageZones && activeScopeProject?.name === FLANDERS_WORKSPACE_PROJECT_NAME),
+  )
   const {
     themeInsights,
     themeInsightsLoading: themeResultsLoading,
@@ -735,7 +820,8 @@ export function MapWorkspace({
     products: officialMapProducts,
     loading: officialMapProductsLoading,
     error: officialMapProductsError,
-  } = useOfficialMapProducts(flandersScopeSelected ? selectedProjectId : null)
+    resolveCoverage,
+  } = useOfficialMapProducts(selectedProjectId)
   const {
     temporalComparison,
     temporalComparisonLoading,
@@ -759,7 +845,6 @@ export function MapWorkspace({
   const [fullWorkflowMode, setFullWorkflowMode] = useState<'new' | 'reuse'>('new')
   const [mapAnalysisDurationMs, setMapAnalysisDurationMs] = useState<number | null>(null)
   const mapAnalysisRequestSequence = useRef(0)
-  const selectedMapArea = areas.find((area) => area.id === selectedMapAreaId)
   const regionalScopeSelected = Boolean(selectedMapArea && !isMunicipalityAreaName(selectedMapArea.name))
   const featureProperties = selectedMapFeature?.properties ?? null
   const isBathymetryProfile = featureProperties?.['provider'] === 'vmm_vha_bathymetry_profiles'
@@ -794,7 +879,7 @@ export function MapWorkspace({
         .filter(
           (dataset) =>
             dataset.source_name === 'vmm_flood_hazard'
-            && datasetCoversSelectedArea(dataset, selectedMapAreaId, regionalScopeSelected),
+            && datasetCoversSelectedArea(dataset, selectedMapAreaId, selectedMapArea?.name, regionalScopeSelected),
         )
         .sort((left, right) => floodScenarioLabel(left).localeCompare(floodScenarioLabel(right), 'nl'))
       if (!regionalScopeSelected) {
@@ -809,13 +894,19 @@ export function MapWorkspace({
       }
       return Array.from(products.values())
     },
-    [availableMapDatasets, regionalScopeSelected, selectedMapAreaId],
+    [availableMapDatasets, regionalScopeSelected, selectedMapArea?.name, selectedMapAreaId],
   )
   const themeDatasetMap = useMemo(() => {
     const result = Object.fromEntries(
       DATA_THEMES.map((theme) => [
         theme.id,
-        pickThemeDataset(availableMapDatasets, theme, selectedMapAreaId, regionalScopeSelected),
+        pickThemeDataset(
+          availableMapDatasets,
+          theme,
+          selectedMapAreaId,
+          selectedMapArea?.name,
+          regionalScopeSelected,
+        ),
       ]),
     ) as Record<DataThemeId, DatasetCreateResponse | null>
     const selectedFloodHazard = floodHazardDatasets.find(
@@ -833,7 +924,7 @@ export function MapWorkspace({
         (dataset) =>
           dataset.source_name === 'digitaal_vlaanderen_dhmv'
           && datasetProductKey(dataset) === selectedDhmvProductKey
-          && datasetCoversSelectedArea(dataset, selectedMapAreaId, regionalScopeSelected),
+          && datasetCoversSelectedArea(dataset, selectedMapAreaId, selectedMapArea?.name, regionalScopeSelected),
       ) ?? null
     }
     if (flandersScopeSelected && officialMapProducts.thematic.length > 0) {
@@ -846,8 +937,10 @@ export function MapWorkspace({
         result[product.key] = null
       }
     }
-    if (flandersScopeSelected && officialMapProducts.officialVector.length > 0) {
-      for (const product of officialMapProducts.officialVector) {
+    if (officialMapProducts.officialVector.length > 0) {
+      for (const product of officialMapProducts.officialVector.filter((item) =>
+        productCoversZones(item.coverage_zones, selectedCoverageZones),
+      )) {
         result[product.theme] = null
       }
     }
@@ -865,7 +958,9 @@ export function MapWorkspace({
     selectedDhmvProductKey,
     selectedFloodHazardDatasetId,
     selectedFloodHazardProductKey,
+    selectedMapArea?.name,
     selectedMapAreaId,
+    selectedCoverageZones,
   ])
   const themePartitionMap = useMemo(
     () =>
@@ -876,11 +971,12 @@ export function MapWorkspace({
             availableMapDatasets,
             themeDatasetMap[theme.id],
             selectedMapAreaId,
+            selectedMapArea?.name,
             regionalScopeSelected,
           ),
         ]),
       ) as Record<DataThemeId, DatasetCreateResponse[]>,
-    [availableMapDatasets, regionalScopeSelected, selectedMapAreaId, themeDatasetMap],
+    [availableMapDatasets, regionalScopeSelected, selectedMapArea?.name, selectedMapAreaId, themeDatasetMap],
   )
   const activeTheme = DATA_THEMES.find((theme) => theme.id === activeThemeId) ?? DATA_THEMES[0]
   const activeCoverageTheme = COVERAGE_THEME_BY_MAP_THEME[activeTheme.id]
@@ -892,14 +988,16 @@ export function MapWorkspace({
     ) ?? { operational: 0, partial: 0, not_configured: 0, unsupported: 0 },
     [coverage],
   )
-  const onDemandProductMap = useMemo(
-    () => {
-      const result = new Map<DataThemeId, OnDemandMapProduct>()
-      if (!flandersScopeSelected) {
-        return result
-      }
+  const onDemandProductsForZones = useCallback((zones: string[] | null): OnDemandMapProduct[] => {
+    const result: OnDemandMapProduct[] = []
+    const effectiveZones = zones ?? selectedCoverageZones
+    const includesFlanders = Boolean(
+      effectiveZones?.includes('flanders')
+        || (!effectiveZones && activeScopeProject?.name === FLANDERS_WORKSPACE_PROJECT_NAME),
+    )
+    if (includesFlanders) {
       for (const product of officialMapProducts.thematic) {
-        result.set(product.theme, {
+        result.push({
           kind: 'thematic_raster',
           productKey: product.key,
           displayName: product.display_name,
@@ -910,7 +1008,7 @@ export function MapWorkspace({
         })
       }
       for (const product of officialMapProducts.grb) {
-        result.set(product.key, {
+        result.push({
           kind: 'grb',
           productKey: product.key,
           displayName: product.display_name,
@@ -920,52 +1018,65 @@ export function MapWorkspace({
           limitationMessage: product.limitation_message,
         })
       }
-      for (const product of officialMapProducts.officialVector) {
-        result.set(product.theme, {
-          kind: 'official_vector',
-          productKey: product.key,
-          displayName: product.display_name,
-          theme: product.theme,
-          availabilityLabel: `${product.observation_label} · officiële vectorbron · laad bij selectie`,
-          attribution: product.attribution,
-          limitationMessage: product.limitation_message,
-        })
-      }
-      const dhmvProduct = officialMapProducts.dhmv.find((product) => product.key === selectedDhmvProductKey)
-      if (dhmvProduct) {
-        result.set('elevation', {
-          kind: 'dhmv',
-          productKey: dhmvProduct.key,
-          displayName: dhmvProduct.display_name,
-          theme: 'elevation',
-          availabilityLabel: `${dhmvProduct.native_resolution_m} m · ${dhmvProduct.acquisition_period} · laad bij selectie`,
-          attribution: dhmvProduct.attribution,
-          limitationMessage: dhmvProduct.limitation_message,
-        })
-      }
-      const floodProduct = officialMapProducts.floodHazard.find(
-        (product) => product.key === selectedFloodHazardProductKey,
-      )
-      if (floodProduct) {
-        result.set('flood_hazard', {
-          kind: 'flood_hazard',
-          productKey: floodProduct.key,
-          displayName: floodProduct.display_name,
-          theme: 'flood_hazard',
-          availabilityLabel: `${floodProduct.native_resolution_m} m · ${floodProduct.climate_context} · T${floodProduct.return_period_years} · laad bij selectie`,
-          attribution: floodProduct.attribution,
-          limitationMessage: floodProduct.limitation_message,
-        })
-      }
-      return result
-    },
-    [
-      flandersScopeSelected,
-      officialMapProducts,
-      selectedDhmvProductKey,
-      selectedFloodHazardProductKey,
-    ],
-  )
+    }
+    for (const product of officialMapProducts.officialVector.filter((item) =>
+      productCoversZones(item.coverage_zones, effectiveZones),
+    )) {
+      result.push({
+        kind: 'official_vector',
+        productKey: product.key,
+        displayName: product.display_name,
+        theme: product.theme,
+        availabilityLabel: `${product.observation_label} · officiële vectorbron · laad bij selectie`,
+        attribution: product.attribution,
+        limitationMessage: product.limitation_message,
+      })
+    }
+    const dhmvProduct = includesFlanders
+      ? officialMapProducts.dhmv.find((product) => product.key === selectedDhmvProductKey)
+      : null
+    if (dhmvProduct) {
+      result.push({
+        kind: 'dhmv',
+        productKey: dhmvProduct.key,
+        displayName: dhmvProduct.display_name,
+        theme: 'elevation',
+        availabilityLabel: `${dhmvProduct.native_resolution_m} m · ${dhmvProduct.acquisition_period} · laad bij selectie`,
+        attribution: dhmvProduct.attribution,
+        limitationMessage: dhmvProduct.limitation_message,
+      })
+    }
+    const floodProduct = includesFlanders
+      ? officialMapProducts.floodHazard.find(
+          (product) => product.key === selectedFloodHazardProductKey,
+        )
+      : null
+    if (floodProduct) {
+      result.push({
+        kind: 'flood_hazard',
+        productKey: floodProduct.key,
+        displayName: floodProduct.display_name,
+        theme: 'flood_hazard',
+        availabilityLabel: `${floodProduct.native_resolution_m} m · ${floodProduct.climate_context} · T${floodProduct.return_period_years} · laad bij selectie`,
+        attribution: floodProduct.attribution,
+        limitationMessage: floodProduct.limitation_message,
+      })
+    }
+    return result
+  }, [
+    activeScopeProject?.name,
+    officialMapProducts,
+    selectedCoverageZones,
+    selectedDhmvProductKey,
+    selectedFloodHazardProductKey,
+  ])
+  const onDemandProductMap = useMemo(() => {
+    const result = new Map<DataThemeId, OnDemandMapProduct>()
+    for (const product of onDemandProductsForZones(selectedCoverageZones)) {
+      result.set(product.theme, product)
+    }
+    return result
+  }, [onDemandProductsForZones, selectedCoverageZones])
   const activeOnDemandMapProduct = onDemandProductMap.get(activeTheme.id) ?? null
   const activeThemeMapStyle = DATA_THEME_MAP_STYLES[activeTheme.id]
   const analysisOverlayActive = mapContentMode === 'analysis' && analysisLayerAvailable && Boolean(mapFeatureCollection)
@@ -993,15 +1104,20 @@ export function MapWorkspace({
 
   useEffect(() => {
     if (
-      !flandersScopeSelected
-      || analysisMode !== 'current'
+      analysisMode !== 'current'
       || activeThemeAvailable
-      || (onDemandProductMap.size === 0 && !officialMapProductsError)
+      || (
+        selectedProjectId
+        && officialMapProductsLoading
+        && onDemandProductMap.size === 0
+        && !officialMapProductsError
+      )
     ) {
       return
     }
     const fallbackTheme = DATA_THEMES.find((theme) =>
-      theme.id === 'space_occupation'
+      flandersScopeSelected
+      && theme.id === 'space_occupation'
       && Boolean(themeDatasetMap[theme.id] || onDemandProductMap.get(theme.id)),
     ) ?? DATA_THEMES.find((theme) =>
       Boolean(themeDatasetMap[theme.id] || onDemandProductMap.get(theme.id)),
@@ -1019,8 +1135,10 @@ export function MapWorkspace({
     analysisMode,
     flandersScopeSelected,
     officialMapProductsError,
+    officialMapProductsLoading,
     onDemandProductMap,
     onOpenDatasetInMap,
+    selectedProjectId,
     themeDatasetMap,
   ])
 
@@ -1528,20 +1646,37 @@ export function MapWorkspace({
   }
 
   const loadAllThemeResults = async (bbox: VectorSelectionBBox, areaId?: string) => {
+    let resolvedZones = selectedCoverageZones
+    if (analysisMode === 'current' && selectedProjectId) {
+      const resolvedCoverage = await resolveCoverage({
+        minx: bbox.min_x,
+        miny: bbox.min_y,
+        maxx: bbox.max_x,
+        maxy: bbox.max_y,
+      })
+      if (!resolvedCoverage) {
+        clearThemeInsights()
+        return
+      }
+      resolvedZones = resolvedCoverage.intersected_zones
+    }
+    const resolvedProducts = analysisMode === 'current'
+      ? onDemandProductsForZones(resolvedZones)
+      : []
     const availableThemes: Array<MapThemeQuery<DataThemeId>> = []
     for (const theme of DATA_THEMES) {
-      const onDemandProduct = analysisMode === 'current'
-        ? onDemandProductMap.get(theme.id)
-        : null
-      if (onDemandProduct) {
-        availableThemes.push({
-          themeId: theme.id,
-          acquisition: {
-            kind: onDemandProduct.kind,
-            productKey: onDemandProduct.productKey,
-            displayName: onDemandProduct.displayName,
-          },
-        })
+      const onDemandProducts = resolvedProducts.filter((product) => product.theme === theme.id)
+      if (onDemandProducts.length > 0) {
+        for (const onDemandProduct of onDemandProducts) {
+          availableThemes.push({
+            themeId: theme.id,
+            acquisition: {
+              kind: onDemandProduct.kind,
+              productKey: onDemandProduct.productKey,
+              displayName: onDemandProduct.displayName,
+            },
+          })
+        }
         continue
       }
       const dataset = themeDatasetMap[theme.id]
@@ -1856,10 +1991,10 @@ export function MapWorkspace({
                     : activeTheme.description}
               </small>
             </div>
-            {officialMapProductsLoading && flandersScopeSelected ? (
+            {officialMapProductsLoading && selectedProjectId ? (
               <p className="geo-data-notice">Beschikbare Vlaamse kaartbronnen worden gecontroleerd…</p>
             ) : null}
-            {officialMapProductsError && flandersScopeSelected ? (
+            {officialMapProductsError && selectedProjectId ? (
               <p className="error">{officialMapProductsError}</p>
             ) : null}
 
@@ -1877,7 +2012,12 @@ export function MapWorkspace({
                       (item) =>
                         item.source_name === 'digitaal_vlaanderen_dhmv'
                         && datasetProductKey(item) === productKey
-                        && datasetCoversSelectedArea(item, selectedMapAreaId, regionalScopeSelected),
+                        && datasetCoversSelectedArea(
+                          item,
+                          selectedMapAreaId,
+                          selectedMapArea?.name,
+                          regionalScopeSelected,
+                        ),
                     )
                     if (dataset) {
                       onOpenDatasetInMap(dataset)

frontend/src/components/map/mapWorkspaceUtils.test.ts

@@ -3,7 +3,9 @@ import {
   bboxesEqual,
   normalizeBboxFromCorners,
   parseBboxInput,
+  productCoversZones,
   resultMetricLabel,
+  selectedAreaCoverageZones,
   selectionAreaSquareMetres,
 } from './mapWorkspaceUtils'
 import type { VectorSelectionResponse } from '../../types'
@@ -47,4 +49,18 @@ describe('map workspace selection guards', () => {
     } as unknown as VectorSelectionResponse
     expect(resultMetricLabel(result)).toBe('14,24 ha')
   })
+
+  it('maps national work areas to regional provider zones without merging sources', () => {
+    expect(selectedAreaCoverageZones('Belgium land')).toEqual([
+      'belgium',
+      'flanders',
+      'wallonia',
+      'brussels',
+    ])
+    expect(selectedAreaCoverageZones('RC Ardennes inland')).toEqual(['wallonia'])
+    expect(selectedAreaCoverageZones('Brussels-Capital Region')).toEqual(['brussels'])
+    expect(selectedAreaCoverageZones('Language boundary')).toEqual(['flanders', 'wallonia'])
+    expect(productCoversZones(['wallonia'], ['flanders', 'wallonia'])).toBe(true)
+    expect(productCoversZones(['brussels'], ['wallonia'])).toBe(false)
+  })
 })

frontend/src/components/map/mapWorkspaceUtils.ts

@@ -13,6 +13,28 @@ import {
 const MOL_PROJECT_NAME = 'Mol Municipality Workbench'
 const KEMPEN_PROJECT_NAME = 'Kempen Regional Workbench'
 
+export function selectedAreaCoverageZones(areaName: string | null | undefined): string[] | null {
+  const normalized = String(areaName ?? '').toLowerCase()
+  if (!normalized) return null
+  if (normalized.includes('coast land-sea')) return ['flanders', 'belgian_north_sea']
+  if (normalized.includes('language boundary')) return ['flanders', 'wallonia']
+  if (normalized.includes('north sea')) {
+    return ['belgian_north_sea', 'territorial_sea', 'exclusive_economic_zone', 'continental_shelf']
+  }
+  if (normalized.includes('territorial sea')) return ['territorial_sea']
+  if (normalized.includes('exclusive economic zone')) return ['exclusive_economic_zone']
+  if (normalized.includes('continental shelf')) return ['continental_shelf']
+  if (normalized.includes('brussels')) return ['brussels']
+  if (normalized.includes('wallonia') || normalized.includes('ardennes')) return ['wallonia']
+  if (normalized.includes('flanders') || normalized.includes('mol') || normalized.includes('kempen')) return ['flanders']
+  if (normalized.includes('belgium land')) return ['belgium', 'flanders', 'wallonia', 'brussels']
+  return null
+}
+
+export function productCoversZones(productZones: string[], selectedZones: string[] | null): boolean {
+  return selectedZones === null || selectedZones.some((zone) => productZones.includes(zone))
+}
+
 export function operationalScopeProjectLabel(project: ProjectRead): string {
   if (project.name === MOL_PROJECT_NAME) {
     return 'Mol'