Data for the paper entitled "Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records"
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This collection regroups data used in the paper "Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records" by S. Monsarrat, A. Boshoff and G. Kerley.Data description:xy_histrecords: Large mammal occurrence records collected from historical written sources in South Africa in the period 1497-1920. See details in the paper. Format: text file with 3 columns (X, Y, Year)raster_hist records: Large mammal occurrence records collected from historical written sources in South Africa in the period 1497-1920. Format: 0.1°x0.1° raster grid.extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 cities_table: 2 columns table with the coordinates of pre-1900 european settlements in South Africa, based on Floyd’s chronological order of town establishment in South Africa (Floyd, 1960).biome_ras: 0.1°x0.1° raster grid of south african biomes, from the 2012 Vegetation Map of South Africa, Lesotho and Swaziland (Mucina & Rutherford, 2006; South African National Biodiversity Institute, 2012).extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 max_temp: 0.01°x0.01° raster grid of maximum summer temperature, in °C, averaged over the period 1960-1990, obtained from WorldClim (Fick & Hijmans, 2017).extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 mean_prec: 0.01°x0.01° raster grid of mean annual precipitation, in mm, averaged over the period 1960-1990, obtained from WorldClim (Fick & Hijmans, 2017). extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 NPP: 0.1°x0.1° raster grid of mean annual net primary productivity, in g C/m2/year, obtained from MODIS MOD17 Gross/Net Primary Production Project of the Numerical Terradynamic Simulation Group (Zhao et al., 2005).extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 SPI: 0.1°x0.1° raster grid of the Settlement Proximity Index (SPI). See detail in the paper.extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 (also provided: SPI built with different sizes of kernel widths hs and hw and with a triangular kernel instead of a gaussian (see Appendix S4))WPI: 0.1°x0.1° raster grid of the Water Proximity Index (SPI). See details in the paper.extent: 15, 35, -38, -20 (xmin, xmax, ymin, ymax)coord. ref.: +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 (also provided: WPI built with different sizes of kernel widths hs and hw and with a triangular kernel instead of a gaussian (see Appendix S4))Study Area: ESRI shapefile of the study area.class: SpatialPolygonsDataFramecoord. ref. : +proj=tmerc +lat_0=0 +lon_0=21 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
创建时间:
2018-07-18



