Escenario El Niño: clasificación del shock por región natural del sector#21
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Mejora de rigor pedida por la DSFFA: clasificar costa/sierra a nivel de SECTOR estadistico (REG_NAT_LA del shape MIDAGRI, costa ~ <1000 msnm, validado con elevacion del centroide) en vez de por departamento. Impacto en las cifras (mas conservadoras y defendibles): - Shock El Nino: solo peligros costeros en sectores COSTA + sequia/helada en sectores SIERRA -> S/90M a S/54M. - Campana El Nino (base + shock): S/141M a S/106M. - Tail costero: sobre la fraccion costera real de cada depto (Piura 82%, Lambayeque 95%, La Libertad 42%, Tumbes 100%), no todo el departamento -> S/136M a S/103M. Precomputo: construir_region.py (REG_NAT_LA -> sector_region.json) + exportar_escenario_app.py actualizado. JSON regenerado. 5 tests verdes, AppTest 0 excepciones (heroe S/106M). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Mejora de rigor (pedido DSFFA): clasificar costa/sierra a nivel de sector estadístico (
REG_NAT_LAdel shape MIDAGRI, costa ≈ <1000 msnm, validado con elevación del centroide vía Open-Meteo) en vez de por departamento. Corrige el sobreconteo (p. ej. Piura tiene 66 sectores de sierra; La Libertad es 58% sierra).Impacto (cifras más conservadoras y defendibles)
Precómputo:
construir_region.py(REG_NAT_LA → sector_region.json) +construir_elevacion.py(validación) +exportar_escenario_app.pyactualizado. Solo cambia el JSON precomputado. 5 tests verdes, AppTest 0 excepciones (héroe S/106M).🤖 Generated with Claude Code