feat: Add livestock census data processing pipeline#814
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neha222222 wants to merge 2 commits intocore-stack-org:mainfrom
Open
feat: Add livestock census data processing pipeline#814neha222222 wants to merge 2 commits intocore-stack-org:mainfrom
neha222222 wants to merge 2 commits intocore-stack-org:mainfrom
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Implements village-level livestock census data pipeline for issue core-stack-org#222: - data_loader.py: Downloads and parses 20th Livestock Census (DAHD) xlsx with all 4 sheets (Rural/Urban, Male/Female), normalizes columns, and aggregates male+female counts per village - village_matcher.py: Fuzzy matches livestock census village names to CoRE Stack village boundaries using exact + Levenshtein distance matching. Reports match stats per state. - pipeline.py: End-to-end CLI pipeline that downloads data, aggregates, matches to boundaries, and exports CSV with match statistics. Data source: DAHD 20th Livestock Census (VillageAndWardLevelDataMale-Female.xlsx)
2 tasks
Adds gee_export.py that completes the pipeline: - Joins matched livestock data with village boundary geometries - Ensures EPSG:4326 CRS and valid geometry - Converts enriched GeoDataFrame to ee.FeatureCollection - Publishes as Earth Engine vector asset with livestock attributes - Syncs to GeoServer and saves layer metadata to DB - Supports filtering/aggregation by livestock type in GEE Also supports GeoJSON export for local validation.
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Implements village-level livestock census data pipeline for issue #222:
data_loader.py: Downloads and parses 20th Livestock Census (DAHD) xlsx with all 4 sheets (Rural/Urban, Male/Female), normalizes columns, and aggregates male+female counts per village
village_matcher.py: Fuzzy matches livestock census village names to CoRE Stack village boundaries using exact + Levenshtein distance matching. Reports match stats per state.
pipeline.py: End-to-end CLI pipeline that downloads data, aggregates, matches to boundaries, and exports CSV with match statistics.
Data source: DAHD 20th Livestock Census
(VillageAndWardLevelDataMale-Female.xlsx)