Reorganize project into scripts/, docs/, data/, output/ directories

Move all Python scripts to scripts/, documentation to docs/, raw input
data to data/, and generated HTML/CSV outputs to output/. Update path
references in 8 scripts to use Path(__file__).parent.parent as project
root so they work correctly from the new location. Update README links
and quick-start commands accordingly. Notebooks remain at root.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

README.md

@@ -4,8 +4,9 @@ A comprehensive geospatial research project investigating the spatial concentrat
 
 ## Documentation
 
-- **[Database Tables](database-tables.md)** - Complete database schema with table descriptions, column definitions, and SQL examples
-- **[Research Ideas](research-ideas.md)** - Future research directions, data improvements, and potential collaborations
+- **[Database Tables](docs/database-tables.md)** - Complete database schema with table descriptions, column definitions, and SQL examples
+- **[Research Ideas](docs/research-ideas.md)** - Future research directions, data improvements, and potential collaborations
+- **[SQL Queries](docs/query_legiscan_bills.sql)** - Pre-built legislative analysis queries
 
 ## Project Overview
 
@@ -93,25 +94,25 @@ Facilities in DBSCAN clusters differ significantly from isolated sites:
 
 ### Core Python Scripts
 
-**Data Ingestion**
-- `load_postgis_data_centers.py` - Load curated data center CSV into PostGIS
-- `load_postgis_osm_data_centers.py` - Fetch OSM data centers via Overpass API
-- `build_master_data_centers.py` - Deduplicate & merge curated + OSM sources
-- `load_postgis_internet_cables.py` - Load submarine cables and landing points
-- `ingest_eia_energy_layers.py` - Ingest EIA energy data via API
-- `build_watershed_huc8_tables.py` - Load USGS HUC8 watersheds
-- `ingest_legiscan.py` - Download all US state/federal bills 2016–2026 via LegiScan API, tag for data center research topics
+**Data Ingestion** (`scripts/`)
+- `scripts/load_postgis_data_centers.py` - Load curated data center CSV into PostGIS
+- `scripts/load_postgis_osm_data_centers.py` - Fetch OSM data centers via Overpass API
+- `scripts/build_master_data_centers.py` - Deduplicate & merge curated + OSM sources
+- `scripts/load_postgis_internet_cables.py` - Load submarine cables and landing points
+- `scripts/ingest_eia_energy_layers.py` - Ingest EIA energy data via API
+- `scripts/build_watershed_huc8_tables.py` - Load USGS HUC8 watersheds
+- `scripts/ingest_legiscan.py` - Download all US state/federal bills 2016–2026 via LegiScan API, tag for data center research topics
 
 **Enrichment**
-- `create_data_center_census_tract_table.py` - Join data centers to Census tracts with ACS demographics
-- `build_fcc_bdc_broadband_connection_table.py` - Build per-facility broadband provider table
-- `build_fcc_bdc_location_provider_aggregates.py` - Aggregate FCC BDC data by county/tract
+- `scripts/create_data_center_census_tract_table.py` - Join data centers to Census tracts with ACS demographics
+- `scripts/build_fcc_bdc_broadband_connection_table.py` - Build per-facility broadband provider table
+- `scripts/build_fcc_bdc_location_provider_aggregates.py` - Aggregate FCC BDC data by county/tract
 
 **Analysis**
-- `analyze_dc_tract_concentration.py` - Tract-level cost concentration analysis (Gini, HHI, demographic deltas)
-- `analyze_cables_concentration.py` - Test if data centers cluster near submarine cables
-- `make_data_center_map.py` - Generate Leaflet map of data centers
-- `make_internet_cables_map.py` - Generate Leaflet map of data centers + cables
+- `scripts/analyze_dc_tract_concentration.py` - Tract-level cost concentration analysis (Gini, HHI, demographic deltas)
+- `scripts/analyze_cables_concentration.py` - Test if data centers cluster near submarine cables
+- `scripts/make_data_center_map.py` - Generate Leaflet map of data centers
+- `scripts/make_internet_cables_map.py` - Generate Leaflet map of data centers + cables
 
 ### Key Jupyter Notebooks
 - `spatial_clustering_master_data_centers.ipynb` - DBSCAN clustering of data centers
@@ -161,34 +162,34 @@ Credentials stored in `~/.zsh_secrets`, loaded via environment variables:
 
 ```bash
 # 1. Load base data center data
-python3 load_postgis_data_centers.py
-python3 load_postgis_osm_data_centers.py
-python3 build_master_data_centers.py
+python3 scripts/load_postgis_data_centers.py
+python3 scripts/load_postgis_osm_data_centers.py
+python3 scripts/build_master_data_centers.py
 
 # 2. Enrich with context layers
-python3 create_data_center_census_tract_table.py --replace-final
-python3 load_postgis_internet_cables.py
-python3 ingest_eia_energy_layers.py --category power
-python3 build_watershed_huc8_tables.py
+python3 scripts/create_data_center_census_tract_table.py --replace-final
+python3 scripts/load_postgis_internet_cables.py
+python3 scripts/ingest_eia_energy_layers.py --category power
+python3 scripts/build_watershed_huc8_tables.py
 
 # 3. Run analyses
-python3 analyze_dc_tract_concentration.py > output/tract_analysis.txt
-python3 analyze_cables_concentration.py > output/cables_analysis.txt
+python3 scripts/analyze_dc_tract_concentration.py > output/tract_analysis.txt
+python3 scripts/analyze_cables_concentration.py > output/cables_analysis.txt
 
 # 4. Execute notebooks
 jupyter notebook cluster_analysis.ipynb
 
 # 5. Load legislation (all states, 2016-2026)
-python3 ingest_legiscan.py --all
+python3 scripts/ingest_legiscan.py --all
 # Weekly refresh (skips unchanged sessions):
-python3 ingest_legiscan.py --fetch --load
+python3 scripts/ingest_legiscan.py --fetch --load
 ```
 
 ### Generate Maps
 
 ```bash
-python3 make_data_center_map.py
-python3 make_internet_cables_map.py
+python3 scripts/make_data_center_map.py
+python3 scripts/make_internet_cables_map.py
 ```
 
 ## Key Outputs