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generate-maps

Regenerate all CZ choropleth maps for the thesis (Frey et al. style)

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Quellinformationen

Repository
AlessandroCaforio/Academic-Writing
Letzte Quellaktivität
17. Februar 2026 um 14:07
Erkannte Sprache von SKILL.md
Englisch
Sterne
17
Forks
8

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
generate-maps
description
Regenerate all CZ choropleth maps for the thesis (Frey et al. style)
# Generate Maps Regenerate all commuting-zone choropleth maps used in the thesis. Maps follow the visual style of Frey, Berger & Chen (2018) "Political Machinery": borderless CZ polygons, thin state boundary overlays, sequential warm palette for task displacement, diverging blue-red for ideology. ## Arguments - (no args) — regenerate all 4 standard figures - `election-td` — only the 2x2 election-year TD maps - `election-ideo` — only the 2x2 election-year ideology maps - `allyears-td` — only the 2x4 all-years TD maps (appendix) - `allyears-ideo` — only the 2x4 all-years ideology maps (appendix) - `single --year YYYY --var COLNAME` — one full-size map ## Steps 1. Run the map generation command: ```bash cd /Users/alessandro/Projects/Tesi && python3 -m src.geo_viz <COMMAND> ``` Where `<COMMAND>` is one of: `all`, `election-td`, `election-ideo`, `allyears-td`, `allyears-ideo`, `single --year YYYY --var td_cz`. If no arguments are provided, use `all`. 2. Report which figures were saved to `results/figures/`. 3. If the thesis needs recompilation (because figure files changed), run: ```bash cd /Users/alessandro/Projects/Tesi/thesis && tectonic main.tex 2>&1 | tail -5 ``` ## Output Files | Command | Output | |---------|--------| | `election-td` | `fig_cz_map_td_elections.pdf/.png` | | `election-ideo` | `fig_cz_map_ideo_elections.pdf/.png` | | `allyears-td` | `fig_cz_map_td_all_years.pdf/.png` | | `allyears-ideo` | `fig_cz_map_ideo_all_years.pdf/.png` | | `single` | `fig_cz_map_{var}_{year}.pdf/.png` | ## Dependencies - `src/geo_viz.py` — MapEngine class - `data/reference/cz_boundaries.geojson` — CZ polygons (722 CZs, Albers projection) - `data/reference/state_boundaries.geojson` — State outlines (49 states) - `results/panels/cz_analysis_panel.csv` — CZ-level panel data
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