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. (In Press). 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 AfriPop, AsiaPop and AmeriPop.
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: BLZ_AdminPop10.shp
Source: Central Statistical Office, Belize, 2010, http://www.geohive.com/cntry/belize.aspx; Jan Meerman, Biodiversity and Environmental Resource Data System for Belize, http://www.biodiversity.bz/mapping/warehouse/
Description: These high spatial resolution census block data were attained through in-country partners for 2012.
Class: polygon
Derived Covariates:
area, buff, zones,
class : SpatialPolygonsDataFrame
nfeatures : 16
extent : 261499, 448560, 1757487, 2045565 (xmin, xmax, ymin, ymax)
coord. ref. : NA
nvariables : 27
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 aggregatedfrom the ancillary data sources summarized following the model diagnostics.
[1] "Random Forest model is a merged RF model using models from:"
GTM,
Call:
randomForest(x = x_data, y = y_data, ntree = popfit$ntree, mtry = popfit$mtry, nodesize = length(y_data)/1000, importance = TRUE, proximity = TRUE)
Type of random forest: regression
Number of trees: 500
No. of variables tried at each split: 15
Mean of squared residuals: 0.25
% Var explained: 79
Folder: Landcover
File Name: BLZ_RF_LC_Input.tif
Source: Geocover, 2000 (30m), http://www.mdafederal.com/geocover; GlobCover, 2009 (300m), http://due.esrin.esa.int/globcover/; MODIS 500m Global Urban Extent, 2001-2002, http://sage.wisc.edu/people/schneider/research/data.html
Description: Land cover was derived from GeoCover 2000, re-coded to GlobCover 2009 categories to be consistent with current WorldPop datasets; GlobCover 2009 was used to fill no-data areas, due to presence of clouds/shadows, in the GeoCover 2000; the MODIS 500m Global Urban Extent map was used to distinguish between urban areas and rural settlements.
Class: raster
Derived Covariates:
prp011, cls011, dst011, prp040, cls040, dst040, prp130, cls130, dst130, prp140, cls140, dst140, prp150, cls150, dst150, prp160, cls160, dst160, prp190, cls190, dst190, prp200, cls200, dst200, prp210, cls210, dst210, prp230, cls230, dst230, prp240, cls240, dst240, prp250, cls250, dst250, prpBLT, clsBLT, dstBLT,
class : RasterBrick
dimensions : 2903, 1873, 5437319, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 261596, 448896, 1756517, 2046817 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=utm +zone=16 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
data source : C:\WorldPop\RFmap\data\BLZ\Landcover\Derived\landcover.tif
names : landcover
min values : 0
max values : 240
Folder: NPP
File Name: DEFAULT: MODIS 17A3 2010
Source: United States Geological Survey (USGS)
Description: MODIS 17A3 version-55 derived estimates of net primary productivity for the year 2010, estimated for 1km pixel sizes and subset and resampled to match the available land cover and final population map output requirements.
Class: raster
Derived Covariates:
,
class : RasterBrick
dimensions : 2903, 1873, 5437319, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 261596, 448896, 1756517, 2046817 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=utm +zone=16 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
data source : C:\WorldPop\RFmap\data\BLZ\NPP\Derived\npp.tif
names : npp
min values : 0
max values : 18667
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 : 2904, 1874, 5442096, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 261496, 448896, 1756517, 2046917 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=utm +zone=16 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
data source : C:\WorldPop\RFmap\data\BLZ\Lights\Derived\lights.tif
names : lights
min values : -0.049
max values : 96
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 : 2904, 1874, 5442096, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 261496, 448896, 1756517, 2046917 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=utm +zone=16 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
data source : C:\WorldPop\RFmap\data\BLZ\Temp\Derived\temp.tif
names : temp
min values : 206
max values : 269
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 : 2904, 1874, 5442096, 1 (nrow, ncol, ncell, nlayers)
resolution : 100, 100 (x, y)
extent : 261496, 448896, 1756517, 2046917 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=utm +zone=16 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
data source : C:\WorldPop\RFmap\data\BLZ\Precip\Derived\precip.tif
names : precip
min values : 1168
max values : 4085
Folder: Roads
File Name: BERDS_OtherRoad_2011_WGS84_Clip.shp
Source: Jan Meerman, Belize Tropical Forest Studies (BTFS), Downloaded 2014-04-09, http://www.biodiversity.bz/index.phtml
Description: These data were created at the BTFS based on 2008, 2010, and 2011 satellite images plus fieldwork; they were made available through the Spatial Data Warehouse of the Biodiversity and Environmental Resource Data System for Belize (BERDS) at http://www.biodiversity.bz/mapping/warehouse/
Class: linear
Derived Covariates:
prp, cls, dst,
class : SpatialLinesDataFrame
nfeatures : 2285
extent : 263228, 381039, 1768416, 2044047 (xmin, xmax, ymin, ymax)
coord. ref. : NA
nvariables : 3
Folder: Rivers
File Name: BERDS_Rivers_WGS84_Clip.shp
Source: Jan Meerman, Belize Tropical Forest Studies (BTFS), Downloaded 2014-04-09, http://www.biodiversity.bz/index.phtml
Description: These data were digitized from 1:50,000 Ordinance Survey (DOS) maps that were scanned and georectified (Peter Esselman and Sandor Rickets, 2007); they were then updated at BTFS and made available through the Spatial Data Warehouse of the Biodiversity and Environmental Resource Data System for Belize (BERDS) at http://www.biodiversity.bz/mapping/warehouse/
Class: linear
Derived Covariates:
prp, cls, dst,
Shapefile type: ArcM (23), # of Shapes: 24144
Error: Shapefile type not (yet) handled by this function
