sprezzature · case studies
Maps
Good-quality cartography, reproducible on data of your choice.
Thematic maps
Publication-grade cartography from a vendored, offline Natural Earth basemap: Equal-Earth projection, classed color, direct annotation, hairline borders.
Situation maps
An areas-of-control plate for any region, built as a layered Scalable Vector Graphics (SVG) the way a geopolitics desk would: bathymetry contours off the coast, classed pastel fills with white boundary casing, letter-spaced place labels, flashpoint markers, dual-unit scale bars, and a floating legend. One configuration file projects any country (auto-centred Lambert conformal conic). The same layers redraw for any conflict; below is Ukraine. Schematic, from open sources, not intelligence.
Real data: the last five French presidential runoffs
The same carefully authored SVG map engine, on real data from the French Ministère de l'Intérieur: the winner's second-round vote share by département across the last five presidential elections, on one frozen blue scale so the panels compare. 2002 (the republican sprezzature against the far right) is near-uniform; 2012 (the closest) is the palest; 2017 and 2022 show the lighter départements where Marine Le Pen ran strongest.
| Year | Winner | % | Runner-up | % |
|---|---|---|---|---|
| 2002 | Jacques Chirac | 82.21 | Jean-Marie Le Pen | 17.79 |
| 2007 | Nicolas Sarkozy | 53.06 | Ségolène Royal | 46.94 |
| 2012 | François Hollande | 51.64 | Nicolas Sarkozy | 48.36 |
| 2017 | Emmanuel Macron | 66.10 | Marine Le Pen | 33.90 |
| 2022 | Emmanuel Macron | 58.55 | Marine Le Pen | 41.45 |
Source: Ministère de l'Intérieur (2nd-round results by département).
Map techniques (carefully authored SVG)
When a projection or a glyph falls outside a chart grammar, the same loop drives a carefully drawn Scalable Vector Graphics (SVG) map instead.