Mapa por sector estadístico en el Escenario El Niño#20
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Drill-down geografico a la unidad real del indice del SAC. En la pestana "Sectores criticos": selector de departamento -> choropleth de sus sectores coloreados por hectareas indemnizadas (envolvente historica). - Geometria: static_data/sectores/<DEPTO>.geojson (25 archivos, ~7MB, ~300KB c/u) desde los KMZ simplificados a ~400m. La app carga SOLO el departamento seleccionado (cacheado) -> liviano. - Datos: static_data/escenario_sectores.json (5,916 sectores con perdida historica, 787KB), clave normalizada dep|dist|sector. - Match geometria<->datos por nombre: 93-94% (ej. Ayacucho 405/430). Generadores (en la carpeta raiz, no en el repo): construir_geojson.py (KMZ->geojson) y exportar_escenario_app.py (metricas). Los KMZ (37MB) NO van al repo. AppTest: 0 excepciones, selector + mapa renderizan. 65 tests verdes. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Drill-down geográfico a la unidad real del índice del SAC. En la pestaña Sectores críticos: selector de departamento → choropleth de sus sectores coloreados por hectáreas indemnizadas (envolvente histórica).
Cómo
static_data/sectores/<DEPTO>.geojson(25 archivos, ~7MB, ~300KB c/u) generados desde los KMZ (KMZ SAC 2025-2026, 37MB) simplificados a ~400m. La app carga solo el departamento seleccionado (cacheado) → liviano en runtime.static_data/escenario_sectores.json(5,916 sectores con pérdida histórica, 787KB), clave normalizadadep|dist|sector.Generadores (en la carpeta raíz, no en el repo):
construir_geojson.py(KMZ→geojson) yexportar_escenario_app.py(métricas). Los KMZ no van al repo.AppTest: 0 excepciones, selector + mapa renderizan. 65 tests verdes.🤖 Generated with Claude Code