The data presented below represent the predicted number of people per ~100 m pixel as estimated using the random forest (RF) model as described in Stevens, et al. (2015). The following pages contain a description of the RF model and its covariates, their sources and any metadata collected for each covariate. The prediction weighting layer is used to dasymetrically redistribute the census counts and project counts to match estimated populations based on UN estimates for the final population maps provided by WorldPop.
These data are the population density values used to estimate the RF model used to create the prediction weighting layer you see above. Values represent population density as measured by people per hectare and calculated from population counts within each census unit. These values are used as the dependent variable during model estimation.
Folder: Census
File Name: census_merged2.shp
Source: Bureau of Statistcs, Bangladesh, provided by Steven Rubinyi.
Description: These high spatial resolution census block shapefile was attained through the Bangladesh Bureau of Statistics for 2011. The tabular census data was joined by Steven Rubinyi with some help from WorldPop team. Tabular data for blocks in sixteen sub-districts located in the eastern part were missing. These blocks have been substituted with sub-district level data.
Class: polygon
Derived Covariates:
area, buff, zones,
class : SpatialPolygonsDataFrame
features : 64502
extent : 298698, 777684, 2278472, 2946893 (xmin, xmax, ymin, ymax)
coord. ref. : NA
variables : 12
These output and figures outline the estimated RF model that is used to predict the population density weighting layer. The model is fitted to the population density values for the preceding census data using covariates aggregated from the ancillary data sources summarized following the model diagnostics.
Call:
randomForest(x = x_data, y = y_data, ntree = popfit$ntree, mtry = popfit$mtry, nodesize = length(y_data)/1000, importance = TRUE, proximity = F)
Type of random forest: regression
Number of trees: 500
No. of variables tried at each split: 30
Mean of squared residuals: 0.47
% Var explained: 66
Folder: Landcover
File Name: Extract_tif31.tif
Source: http://www.esa-landcover-cci.org/
Description: Land cover information was combined from a GlobCover 2010 coverage and fused with Landsat-derived urban/rural built area classification to construct a single land cover dataset.
Class: raster
Derived Covariates:
cls011, dst011, cls040, dst040, cls130, dst130, cls140, dst140, cls150, dst150, cls160, dst160, cls190, dst190, cls200, dst200, cls210, dst210, cls230, dst230, cls240, dst240, cls250, dst250, clsBLT, dstBLT,
class : RasterBrick
dimensions : 6738, 4862, 32760156, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 292899, 779099, 2274775, 2948575 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\Landcover\Derived\landcover.tif
names : landcover
min values : 11
max values : 210
Folder: Lights
File Name: DEFAULT: VIIRS 2012
Source: http://ngdc.noaa.gov/eog/viirs/download_viirs_ntl.html
Description: These 'Lights at Night' data were derived from imagery collected by the Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) sensor. Data were collected in 2012 on moonless nights and though background noise associated with fires, gas-flares, volcanoes or aurora have not been removed it represents the best-available data for night-time light production.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 6877, 5237, 36014849, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 279270, 802970, 2271947, 2959647 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
data source : D:\Working_RF\data\BGD\Lights\Derived\lights.tif
names : lights
min values : -0.0038
max values : 316
Folder: Temp
File Name: DEFAULT: BIO1
Source: http://www.worldclim.org/current
Description: WorldClim/BioClim 1950-2000 mean annual precipitation (BIO12) and mean annual temperature (BIO1) estimates (Hijmans et al., 2005) were downloaded, mosaicked and subset to match the extent of our land cover data for the mapping of this region.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 6926, 5242, 36306092, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 278670, 802870, 2268247, 2960847 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\Temp\Derived\temp.tif
names : temp
min values : 149
max values : 267
Folder: Precip
File Name: DEFAULT: BIO12
Source: http://www.worldclim.org/current
Description: WorldClim/BioClim 1950-2000 mean annual precipitation (BIO12) and mean annual temperature (BIO1) estimates (Hijmans et al., 2005) were downloaded, mosaicked and subset to match the extent of our land cover data for the mapping of this region.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 6926, 5242, 36306092, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 278670, 802870, 2268247, 2960847 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\Precip\Derived\precip.tif
names : precip
min values : 1209
max values : 11356
Folder: Roads
File Name: BD_Roads_WGS84.shp
Source: PWD Bangladesh, provided by Steven Rubinyi.
Description: These data were downloaded provided by PWD Bangladesh.
Class: linear
Derived Covariates:
cls, dst,
class : SpatialLinesDataFrame
features : 18064
extent : 307467, 752824, 2297931, 2946560 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 8
Folder: Rivers
File Name: rivers.shp
Source: Open Street Map, Downloaded 2017-09-16, http://extract.bbbike.org/
Description: These data were downloaded as part of a per-country package of data layers made availalble as shapefiles through the http://extract.bbbike.org website, extracted from the Open Street Map (OSM) database.
Class: linear
Derived Covariates:
cls, dst,
class : SpatialLinesDataFrame
features : 11536
extent : 291886, 773689, 2282665, 2952643 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 5
Folder: Populated
File Name: DEFAULT: Merged pop/builtupp, pop/builtupa, pop/mispopp
Source: National Geospatial-Intelligence Agency (NGA), http://geoengine.nga.mil/geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html
Description: The VMAP0 data area downloaded as separate files, grouped roughly by continent, and merged into individual shapefiles for subsetting and further processing for population mapping efforts. These data were obtained directly from the original VMAP0 data sources provided by the NGA and pre-processed using Military Analyst in ArcGIS 10.0. Point data sources are buffered to 100 m and then all polygon data sources are merged to a single shapefile prior to processing.
Class: polygon
Derived Covariates:
cls, dst,
class : SpatialPolygonsDataFrame
features : 619
extent : 290186, 782995, 2293654, 2956893 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 13
Folder: Waterbodies
File Name: DEFAULT: hydro/watrcrsl
Source: National Geospatial-Intelligence Agency (NGA), http://geoengine.nga.mil/geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html
Description: The VMAP0 data area downloaded as separate files, grouped roughly by continent, and merged into individual shapefiles for subsetting and further processing for population mapping efforts. These data were obtained directly from the original VMAP0 data sources provided by the NGA and pre-processed using Military Analyst in ArcGIS 10.0.
Class: polygon
Derived Covariates:
cls, dst,
class : SpatialPolygonsDataFrame
features : 494
extent : 291670, 746646, 2352141, 2949032 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 10
Folder: Urban
File Name: DEFAULT: schneider-urban.shp
Source: Schneider, et al., United Nations
Description: These data were constructed from MODIS-derived imagery and provided to WorldPop researchers by Schneider, et al. as part of a global urban extents datasets.
Class: polygon
Derived Covariates:
cls, dst,
class : SpatialPolygonsDataFrame
features : 867
extent : 290801, 750901, 2305921, 2956888 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 2
Folder: Elevation
File Name: DEFAULT: Void-Filled DEM.gdb
Source: HydroSHEDS Void-Filled DEM (Lehnert, et al., 2006), http://hydrosheds.cr.usgs.gov/dataavail.php
Description: The HydroSHEDS data are the result of an effort to provide a globally consistent dataset consisting of NASA's Shuttle Radar Topography Mission (SRTM) data and have been processed, void-filled and corrected for use at large scales.
Class: raster
Derived Covariates:
, slope,
class : RasterBrick
dimensions : 6913, 5241, 36231033, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 278670, 802770, 2268947, 2960247 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\Elevation\Derived\elevation.tif
names : elevation
min values : -25
max values : 1961
Folder: Points
File Name: points.shp
Source: Open Street Map, Downloaded 2017-09-16, http://extract.bbbike.org/
Description: These data were downloaded as part of a per-country package of data layers made availalble as shapefiles through the http://extract.bbbike.org website, extracted from the Open Street Map (OSM) database.
Class: point
Derived Covariates:
cls, dst,
class : SpatialPointsDataFrame
features : 9941
extent : 310949, 761116, 2282145, 2922228 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 4
Folder: Places
File Name: places2.shp
Source: Open Street Map, Downloaded 2017-09-16, http://extract.bbbike.org/
Description: These data were downloaded as part of a per-country package of data layers made availalble as shapefiles through the http://extract.bbbike.org website, extracted from the Open Street Map (OSM) database.
Class: point
Derived Covariates:
cls, dst,
class : SpatialPointsDataFrame
features : 424
extent : 317823, 753565, 2324862, 2946546 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 4
Folder: Wda
File Name: wda.shp
Source: World Database on Protected Areas, Downloaded September, 2012, UNEP, http://www.wdpa.org, http://protectedplanet.net
Description: These data are compiled by UNEP and distributed via the Protected Planet website. All protected areas were downloaded regardless of International Union for Conservation of Nature (IUCN) or any other designation, so they include sanctuaries, national parks, game reserves, World Heritage Sites, etc.
Class: polygon
Derived Covariates:
cls, dst,
class : SpatialPolygonsDataFrame
features : 44
extent : 313004, 777423, 2285788, 2841465 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 27
Folder: GUF2012
File Name: bgd_grid_100m_guf_dst_2012.tif
Source: GHSL Beta 2014 30m, https://ec.europa.eu/jrc/en/scientific-tool/global-human-settlement-layer
Description: Data recieved from the Global Human Settlement Location project of the Europeean Commission for June of 2015. Data has been transformed and subset to reflect a euclidean distance of a binary settlement layer.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 6738, 4863, 32766894, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 292870, 779170, 2274747, 2948547 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\GUF2012\Derived\guf2012.tif
names : guf2012
min values : -1.1
max values : 62
Folder: GHSL2014
File Name: bgd_grid_100m_ghsl_dst_2014.tif
Source: GUF 2012, provided by Earth Observation Center, http://www.dlr.de/
Description: Data recieved from the Global Urban Footprint project of the Earth Observation Center for 2012. Data has been transformed and subset to reflect a euclidean distance of a binary settlement layer.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 6738, 4863, 32766894, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 292870, 779170, 2274747, 2948547 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +towgs84=283.7,735.9,261.1,0,0,0,0 +units=m +no_defs
data source : D:\Working_RF\data\BGD\GHSL2014\Derived\ghsl2014.tif
names : ghsl2014
min values : -0.85
max values : 52
Folder: Transport
File Name: Transport.shp
Source: Open Street Map, Downloaded 2017-09-16, http://extract.bbbike.org/
Description: These data were downloaded as part of a per-country package of data layers made availalble as shapefiles through the http://extract.bbbike.org website, extracted from the Open Street Map (OSM) database.
Class: point
Derived Covariates:
cls, dst,
class : SpatialPointsDataFrame
features : 833
extent : 312279, 743185, 2283015, 2919741 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 4
Folder: Access_road
File Name: BC_Road_Type_BC.shp
Source: Secondary Roads, PWD Bangladesh provided by Steven Rubinyi.
Description: These data were downloaded provided by PWD Bangladesh.
Class: linear
Derived Covariates:
cls, dst,
class : SpatialLinesDataFrame
features : 174211
extent : 301120, 767511, 2295802, 2946075 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=90 +k=0.9996 +x_0=500000 +y_0=0 +a=6377276.345 +b=6356075.41314024 +units=m +no_defs
variables : 18
