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Study area map: Swat valley

Study area map: Swat valley

Swat valley (pre-2026 district boundary), Khyber Pakhtunkhwa, Pakistan, as a 1.5-column (140 mm) study area map with the locator inset and legend beside the map. The outline is the former Swat district (before January 2026), now Swat and Bar Swat (geoBoundaries, 2019 boundaries). Grey hillshade with light elevation colours (Copernicus DEM GLO-90), 90 m cells where at least half of the 10 m pixels are tree cover (ESA WorldCover 2021, hillshade showing through), towns (GeoNames), north arrow to true north, scale bar and graticule. Produced using Copernicus WorldDEM™-90 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. © ESA WorldCover project 2021 / Contains modified Copernicus Sentinel data (2021) processed by ESA WorldCover consortium. Towns: GeoNames (CC BY 4.0). Locator inset: Natural Earth (default worldview). Boundaries and names shown do not imply any opinion on the legal status of any country or territory.

Script PDF PNG, 600 dpi

from pathlib import Path

import eofigs

DATA = Path(__file__).resolve().parents[1] / "docs" / "data" / "swat"

eofigs.set_style("elsevier")
fig = eofigs.study_area_map(
    DATA / "swat_boundary.geojson",
    dem=DATA / "swat_dem_90m.tif",
    overlay=DATA / "swat_tree_cover_90m.tif",
    points=DATA / "swat_towns.geojson",
    aoi_label="Swat valley\n(pre-2026 district boundary)",
    overlay_label="Tree cover ≥ 50 %",
    points_label="Town",
    width="onehalf",
)


# README card: the upper valley with the towns, the locator inset and the legend
readme_card = [(fig.axes[0], (0.0, 0.45, 1.0, 1.0)), fig.axes[1], *fig.legends]

if __name__ == "__main__":
    print(fig.eofigs_layout)
    print(eofigs.save_figure(fig, "study_area_swat"))
Figure check 
Figure check (elsevier): passed
  PASS  size: 140.0 x 175.9 mm (onehalf width).
  PASS  resolution: 600 dpi (at least 500 for figures with text and images).
  PASS  font size: Smallest text 7 pt (minimum 7 pt).
  PASS  fonts: Fonts in use: Arial.
  PASS  colour-blind safety: 3 categorical colours, all distinguishable.
  PASS  colour maps: Colour maps: gray (sequential), lapaz_light (sequential).
  PASS  overlay contrast: Overlay distinguishable from the colour map (min dE00 normal 23.5, protan 12.9, deutan 14.2, tritan 17.5).