popRFdemo | R Documentation |
This function allows the user to generate a population layer using the WorldPop geospatial covariates and subnational census-based population estimates for 230 countries. All input datasets use a geographical coordinate system (GCS) with WGS 1984 datum (EPSG:4326) in Geotiff format at a resolution of 3 arc-second (0.00083333333 decimal degree, approximately 100m at the equator). Mastergrid of sub-national administrative unit boundary was rasterised by CIESIN.
Following covariates will be downloaded and used to disaggregat population (2020 year) from census units into grid cells.
subnational_admin_2000_2020.tif - sub-national units provided by nationalEAs
esaccilc_dst011_2015.tif - Distance to ESA-CCI-LC cultivated area edges 2015.
esaccilc_dst040_2015.tif - Distance to ESA-CCI-LC woody-tree area edges 2015.
esaccilc_dst130_2015.tif - Distance to ESA-CCI-LC shrub area edges 2015.
esaccilc_dst140_2015.tif - Distance to ESA-CCI-LC herbaceous area edges 2015.
esaccilc_dst150_2015.tif - Distance to ESA-CCI-LC sparse vegetation area edges 2015.
esaccilc_dst160_2015.tif - Distance to ESA-CCI-LC aquatic vegetation area edges 2015.
esaccilc_dst190_2015.tif - Distance to ESA-CCI-LC artificial surface edges 2015.
esaccilc_dst200_2015.tif - Distance to ESA-CCI-LC bare area edges 2015.
esaccilc_dst_water_100m_2000_2012.tif - ESA-CCI-LC inland waterbodies 2000-2012.
coastline_100m_2000_2020.tif - Distance to coastline 2000-2020.
dst_roadintersec_100m_2016.tif - Distance to OSM major road intersections.
dst_waterway_100m_2016.tif - Distance to OSM major waterways.
dst_road_100m_2016.tif - Distance to OSM major roads.
px_area.tif - Grid-cell surface areas.
srtm_slope_100m.tif - SRTM-based slope 2000 (SRTM is Shuttle Radar Topography Mission).
srtm_topo_100m.tif - SRTM elevation 2000.
viirs_100m_2016.tif - VIIRS night-time lights 2015 (VIIRS is Visible Infrared Imaging Radiometer Suite).
wdpa_dst_cat1_100m_2017.tif - Distance to IUCN strict nature reserve and wilderness area edges 2017.
dst_bsgme_100m_2020.tif - Distance to predicted built-settlement extents in 2020.
All downloaded files will be saved into subdirectory covariates
.
popRFdemo(project_dir,
country="NPL",
cores=0,
quant=TRUE,
ftp=TRUE,
verbose=TRUE,
log=TRUE, ...)
project_dir |
Path to the folder to save the outputs. |
country |
character. ISO of the country (see country codes). Default one is NPL (Nepal) |
cores |
is a integer. Number of cores to use when executing the function.
If set to 0 |
quant |
If FALSE then quant will not be calculated |
ftp |
is logical. TRUE or FALSE: flag indicating whether
FTP or HTTPS of
WorldPop data hub server will be used.
Default is |
verbose |
is logical. TRUE or FALSE: flag indicating whether to print
intermediate output from the function on the console, which might be
helpful for model debugging. Default is |
log |
is logical. TRUE or FALSE: flag indicating whether to print intermediate
output from the function on the log.txt file.
Default is |
... |
Additional arguments: |
Raster* object of gridded population surfaces.
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/20964471.2019.1625151")}.
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 (OPP1134076) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5258/SOTON/WP00649")}.
## Not run:
popRFdemo(project_dir="/home/user/demo",
country="NPL",
cores=0)
## End(Not run)
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