The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat. Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

This layer contains WorldPop's 100m resolution annual estimates of population density from the year 2000 to 2020. Usage notes: This layer is configured to be viewed only at a scale range for large-scale maps, i.e., zoomed into small areas of the world. Because the underlying data for this layer is relatively large and because raster pyramids cannot accurately represent aggregated population density, there are no pyramids. Thus, this layer may at times require 10 to 15 seconds to draw. We recommend using this layer in conjunction with WorldPop's 1-km resolution Population Density layer to create web maps that allow users to pan and zoom to wider areas; this web map contains an example of this combination. The population estimates in this layer are derived WorldPop's total population data, which use a Top-down unconstrained method which estimates the total population for each cell with a Random Forest-based dasymetric model (Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PloS one, 10(2), e0107042) and converts these values to population density by dividing the number of people in each pixel by the pixel surface area. This diagram visually describes this model that uses known populated locations to analyze imagery to find similarly populated locations. The DOI for the original WorldPop.org total population population data is 10.5258/SOTON/WP00645.Recommended Citation: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. Accessed from https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Total_Population_100m/ImageServer, which was acquired from WorldPop in December 2021.

Zip Files Can be Downloaded From: https://drive.google.com/drive/folders/0B0A7-n4PmIvhRFNieGV6ekZtaWM Natural Color TIFF, Lake Victoria, Raster, 2016 Reference Information and Units: Spatial Reference: WGS_1984_UTM_zone_37N Geographic Datum: D_WGS_1984 Cell Size: 30, 30 (meter) Bands: 3 NoData Value: 0, 0, 0 Pixel Type: unsigned integer Pixel Depth: 16 Bit Pyramids: level: 7, resampling: Nearest Neighbor File Naming Convention: ColorInfrared_Mosaic.TIF Data Origin: The original scenes were Landsat 8 data that were downloaded from the USGS. Scenes were picked that were from 2016 and had a cloud cover percentage less than 10%. One Scene was used from 2015 due to no suitable scenes being available for 2016. Data Development: This TIFF image was created using ArcGIS. To create the color infrared composite each individual scene needs have the red, green, and near infrared bands together. Using Landsat 8 data means that near infrared is band 5, red is band 4, and green is band 3. When setting up the individual scene composites the no data value is set to 0. This gets ride of the black square that surrounds the TIF. Finally when the individual scenes are completed they are ready to be mosaicked. The final mosaic used a blend mosaic type. The blend type decides the output cell based on a horizontally weighted calculation of the values from the overlapping cells. This method helps clean up the output image. When the final mosaic is complete the last step was to create pyramids and calculate statistics.

This layer contains WorldPop's 100-meter resolution annual estimates of total population from the year 2000 to 2020. Usage notes:This layer is configured to be viewed only at a scale range for large-scale maps, i.e., zoomed into small areas of the world. Because the underlying data for this layer is relatively large and because raster pyramids cannot accurately represent aggregated population counts, there are no pyramids. Thus, this layer may at times require 10 to 15 seconds to draw.We recommend using this layer in in conjunction with WorldPop's 1-km resolution Total Population layer to create web maps that allow users to pan and zoom to wider areas; this web map contains an example of this combination. WorldPop estimated the total population for each cell in this data using a random forest-based dasymetric redistribution model (Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PloS one, 10(2), e0107042). The estimates in this layer use WorldPop's Top-down unconstrained method which estimates the total population for each cell with a Random Forest-based dasymetric model. This diagram visually describes this model that uses known populated locations to analyze imagery to find similarly populated locations. The DOI for the original WorldPop.org total population data is 10.5258/SOTON/WP00645.Recommended Citation: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. Accessed from https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Total_Population_1km/ImageServer, which was acquired from https://www.worldpop.org/doi/10.5258/SOTON/WP00645 on 15 Sep, 2021.