Spatial covariates for 45 cities included in the UWIN camera trap network

Overall data structure description: File Spatial Layer Source(s) file type ESA_WorldCover.zip cropland, forest, lakes, oceans ESA WorldCover, HydroLAKES, Natural Earth raster Census_data.zip bachelor_degree, graduate_degree, income, white_race(non-minority) USA and CAN census data vector GHL.zip BUILT_C (2018), BUILT_S (2018 (10m), 2015 (100m)), BUILT_V (2020), BUILT_POP (1975 & 2020), SMOD (1975, 2000, 2020, 2025) Global Human Settlement raster Climate.zip Degrees under 0 (DD), Summer Precipitation (MSP), relative humidity (RH), Atmospheric temperature (TD) for years 2019-2023 and a mean across those 5 years. Climate NA raster Biomes_and_Ecoregions.zip Biomes and Ecoregions across all three levels US Environmental Protection Agency vector SLOPE.zip elevation, slope, terrain_roughness (TRIriley) Shuttle Radar Topography Mission (SRTM) raster roads_lines.zip OSM roads (all types as in the OSM manuscript) and rivers OpenStreetMap vector NDVI.zip NDVI estimated from Landsat images Landsat 8/9 raster envelopes_all_cities.zip catalogue of cities included, names, codes and locations vector IUCN.zip species richness, species presence, and rarity-weighted species-richness IUCN raster, vector Layer specific information: File Spatial Layer Source file Source webpage File type Resolution Projection (EPSG) script countries ESA_WorldCover.zip cropland ESA WorldCover DATA | WORLDCOVER raster 0.0083 4326 All ESA_WorldCover.zip forest ESA WorldCover DATA | WORLDCOVER raster 0.0083 4326 All ESA_WorldCover.zip lakes HydroLAKES HydroLAKES vector NA 4326 All ESA_WorldCover.zip oceans Natural Earth Natural Earth - Free vector and raster map data at 1:10m, 1:50m, and 1:110m scales vector NA 4326 All Census_data.zip Number of bachelor degrees USA and CAN census data https://walker-data.com/tidycensus/; https://mountainmath.github.io/cancensus/index.html vector NA 4269 USA and Canada Census_data.zip Number of graduate degrees USA census data https://walker-data.com/tidycensus/; https://mountainmath.github.io/cancensus/index.html vector NA 4269 USA Census_data.zip Median Income USA and CAN census data https://walker-data.com/tidycensus/; https://mountainmath.github.io/cancensus/index.html vector NA 4269 USA and Canada Census_data.zip Number of non-minority individuals (white) USA and CAN census data https://walker-data.com/tidycensus/; https://mountainmath.github.io/cancensus/index.html vector NA 4269 USA and Canada GHL.zip Building components 2018 GHS_BUILT_C_MSZ_E2018_GLOBE_R2023A_54009_10_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 10 9001 All GHL.zip Built Surface Area 2018 GHS_BUILT_S_E2018_GLOBE_R2023A_54009_10_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 10 9001 All GHL.zip Built Surface Area 2025 GHS_BUILT_S_E2025_GLOBE_R2023A_54009_100_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 100 9001 All GHL.zip Built Volume 2020 GHS_BUILT_V_E2020_GLOBE_R2023A_54009_100_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 100 9001 All GHL.zip Population density 1975 GHS_POP_E1975_GLOBE_R2023A_54009_100_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 100 9001 All GHL.zip Population density 2020 GHS_POP_E2020_GLOBE_R2023A_54009_100_V1_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 100 9001 All GHL.zip Urbanization degree 1975 GHS_SMOD_E1975_GLOBE_R2023A_54009_1000_V2_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 1000 9001 All GHL.zip Urbanization degree 2000 GHS_SMOD_E2000_GLOBE_R2023A_54009_1000_V2_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 1000 9001 All GHL.zip Urbanization degree 2020 GHS_SMOD_E2020_GLOBE_R2023A_54009_1000_V2_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 1000 9001 All GHL.zip Urbanization degree 2025 GHS_SMOD_E2025_GLOBE_R2023A_54009_1000_V2_0 Global Human Settlement - Visualisations of the GHSL datasets - European Commission raster 1000 9001 All Climate.zip Degrees under 0 (DD) years 2019-2023 and a mean across those 5 years. PRISM through ClimateNA Home Page - ClimateNA raster 0.0083 4326 All Climate.zip Summer Precipitation (MSP) years 2019-2023 and a mean across those 5 years. PRISM through ClimateNA Home Page - ClimateNA raster 0.0083 4326 All Climate.zip Relative humidity (RH) years 2019-2023 and a mean across those 5 years. PRISM through ClimateNA Home Page - ClimateNA raster 0.0083 4326 All Climate.zip Atmospheric temperature (TD) for years 2019-2023 and a mean across those 5 years. PRISM through ClimateNA Home Page - ClimateNA raster 0.0083 4326 All Biomes_and_Ecoregions.zip Biomes and Ecoregions across all three levels US Environmental Protection Agency Ecoregions of North America | US EPA vector NA 4326 All SLOPE.zip elevation Shuttle Radar Topography Mission (SRTM) Shuttle Radar Topography Mission (SRTM) | NASA Earthdata raster 0.0083 4326 All SLOPE.zip slope Shuttle Radar Topography Mission (SRTM) Shuttle Radar Topography Mission (SRTM) | NASA Earthdata raster 0.0083 4326 All SLOPE.zip terrain_roughness (TRIriley) Shuttle Radar Topography Mission (SRTM) Shuttle Radar Topography Mission (SRTM) | NASA Earthdata raster 0.0083 4326 All roads_lines.zip OSM roads (all types as in the OSM manuscript) and rivers OpenStreetMap OpenStreetMap; Leveraging Open‐Source Geographic Databases to Enhance the Representation of Landscape Heterogeneity in Ecological Models - Gelmi‐Candusso - 2024 - Ecology and Evolution - Wiley Online Library vector NA 4326 All NDVI.zip NDVI estimated from Landsat images see Landsat_tiles_acros_cities.csv EarthExplorer raster 30 32617 (variable UTM Zone so last two digits wil follow UTM Zone of Landsat Image) All envelopes_all_cities.zip catalogue of cities included, names, codes and locations UWIN mean LatLong across sites + Buffer defined by UWIN partners Urban Wildlife Network vector NA 4326 All IUCN.zip species richness IUCN IUCN Red List of Threatened Species raster NA 9001 All IUCN.zip species presence IUCN IUCN Red List of Threatened Species vector NA 4326 All IUCN.zip rarity-weighted species-richness IUCN IUCN Red List of Threatened Species raster 30000 9001 All Github with scripts used to generate layers tgelmi-candusso/spatial_covariates_for_UWIN: Spatial covariates extracted across 45 cities incuded in UWIN Camera Trap Network Cities included: city_code city State/Province Country Lon Lat buffer_m edal Edmonton, AB Alberta Canada -113.493 53.52685 10 caab Calgary, AB Alberta Canada -114.089 51.02825 30 baar Bariloche, Ar Rio Negro Argentina -71.3628 -41.122 5 phaz Phoenix, AZ Arizona USA -112.091 33.53858 25 lrar Little Rock, AR Arkansas USA -92.3362 34.72394 10 vaca Vancouver, BC British Columbia Canada -123.124 49.25769 10 baca Bay Area, CA California USA -122.301 37.87136 20 lbca Long Beach, CA California USA -118.156 33.78808 10 paca Pasadena, CA California USA -118.132 34.1844 10 poca Pomona, CA California USA -117.77 34.06568 10 sdca San Diego, CA California USA -117.108 32.82431 5 safa San Francisco, CA California USA -122.728 37.78614 10 deco Denver, CO Colorado USA -104.854 39.76503 30 foco2 Fort Collins, CO Colorado USA -105.07 40.55614 20 poor Portland, OR Oregon USA -122.654 45.5434 30 sewa Seattle, WA Washington USA -122.343 47.60814 35 scut Salt Lake City, UT Utah USA -111.921 40.77747 35 tawa Tacoma, WA Washington USA -122.455 47.24359 35 mela Metro LA California USA -118.19 33.99968 40 wide Wilmington, DE Denver USA -75.5296 39.73062 15 naca Washington D.C. Maryland USA -77.0146 38.89406 30 safl Sanford, FL Florida USA -81.2751 28.78417 20 ahga Athens, GA Georgia USA -83.3892 33.94382 5 atga Atlanta, GA Georgia USA -84.4202 33.76751 35 frge Freiburg, DE Baden-Württemberg Germany 7.796468 47.98747 10 chil Chicago, IL Illinois USA -87.7332 41.83463 46 inin Indianapolis, IN Indiana USA -86.133 39.78016 20 deio Des Moines, IA Iowa USA -93.6014 41.56947 20 ioio Iowa City, IA Iowa USA -91.5408 41.64772 15 boma Boston, MA Massachusetts USA -70.9977 42.31336 35 jams Jackson, MS Mississippi USA -90.1966 32.30426 45 slmo Saint Louis, MO Missouri USA -90.242 38.65315 30 manh Manchester, NH New Hampshire USA -71.4447 42.97188 55 nyny New York, NY New York USA -73.0246 40.92768 5 rony Rochester, NY New York USA -77.617 43.18567 20 syny Syracuse, NY New York USA -76.1395 43.03529 18 cloh Cleveland, OH Ohio USA -81.7058 41.49771 10 stok Stillwater, OK Oklahoma USA -97.0825 36.14178 2 toon Toronto, ON Ontario Canada -79.3762 43.71792 10 sasa Saskatoon, SK Saskatchewan Canada -106.664 52.15071 10 autx Austin, TX Texas USA -97.7487 30.30754 20 dftx Fort Worth, TX Texas USA -97.3128 32.80077 25 hote Houston, TX Texas USA -95.4614 29.82447 21 mawi Madison, WI Wisconsin USA -89.4019 43.08527 10 anma Andasibe, Madagascar Toamasina Madagascar 48.42209 -18.9199 5