Myanmar Population Map Metadata Report

Prediction Weighting Layer Used in Population Redistribution

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 AfriPop, AsiaPop and AmeriPop.

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Myanmar Census Data and Observed Population Density

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.

Myanmar Census Data, 2014, Admin-level 3

Folder: Census
File Name: MMR_2014_Census_Admin_lvl_3_hybrid.shp
Source: Republic of the Union of Myanmar Ministry of Immigration and Population
Description: These census data were acquired in July 2015 for use in WorldPop endeavors. To correct for population counts the Sittwe, Maungdaw, and Mrauk-U districts of Rakhine state were merged and therfore their input census resolution lay between admin lvl 1 and 2. Further, the townships of Momauk and Mansi were merged into the Bhamo district, of Kachin state, and had an input census resolution of admin lvl 2. Lastly, because of incompatibilities between the shapefile admin boundary data and the township level census data, areas corresponding to the Wa self-administered regions in the Shan state were merged into districts and input into the model at admin lvl 2. All other areas were input into the model as admin lvl 3 (township) data.
Class: polygon
Derived Covariates:
area, buff, zones,

class       : SpatialPolygonsDataFrame 
features    : 316 
extent      : 102470, 1035661, 1069650, 3158647  (xmin, xmax, ymin, ymax)
coord. ref. : NA 
variables   : 10

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Random Forest Model and Diagnostics

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.


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: 11

          Mean of squared residuals: 0.25
                    % Var explained: 94

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Covariate Metadata

Remotely-sensed, Classified Landcover

Folder: Landcover
File Name: mmr_lc_rc_nibb_built_rurb_maj_8bit.tif
Source: GlobCover, 300m
Description: Landcover from the GlobCover product, reclassified to match AfriPop coding and eventually broken down into binary classifications by aggregated land cover type (see Linard, et al., 2010 and Gaughan, et al. 2013 for category information).
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  : 22281, 11007, 245246967, 1  (nrow, ncol, ncell, nlayers)
resolution  : 100, 100  (x, y)
extent      : 59987, 1160687, 994787, 3222887  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=96 +k=0.9996 +x_0=500000 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 
data source : D:\Users\jnieves\Research\Population\Data\RF\data\MMR\Landcover\Derived\landcover.tif 
names       : landcover 
min values  :         0 
max values  :       240 

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MODIS 17A3 2010 Estimated Net Primary Productivity, 1km

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  : 22281, 11007, 245246967, 1  (nrow, ncol, ncell, nlayers)
resolution  : 100, 100  (x, y)
extent      : 59987, 1160687, 994787, 3222887  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=96 +k=0.9996 +x_0=500000 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 
data source : D:\Users\jnieves\Research\Population\Data\RF\data\MMR\NPP\Derived\npp.tif 
names       :   npp 
min values  :     0 
max values  : 19212 

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Suomi NPP VIIRS-Derived 2012 Lights at Night, 15 arc-second

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 Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) which has a unique low-light imaging capability, developed for the detection of clouds using moonlight. In addition to moonlit clouds, the OLS also detects lights from human settlements, fires, gas flares, heavily lit fishing boats, lightning and the aurora.
Class: raster
Derived Covariates:
,

class       : RasterBrick 
dimensions  : 21264, 10528, 223867392, 1  (nrow, ncol, ncell, nlayers)
resolution  : 100, 100  (x, y)
extent      : 59987, 1112787, 1055387, 3181787  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=96 +k=0.9996 +x_0=500000 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 
data source : D:\Users\jnieves\Research\Population\Data\RF\data\MMR\Lights\Derived\lights.tif 
names       : lights 
min values  :  -0.27 
max values  :   2532 

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WorldClim/BioClim Mean Annual Temperature 1950-2000, 30 arc-second

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  : 21264, 10705, 227631120, 1  (nrow, ncol, ncell, nlayers)
resolution  : 100, 100  (x, y)
extent      : 42287, 1112787, 1055587, 3181987  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=96 +k=0.9996 +x_0=500000 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 
data source : D:\Users\jnieves\Research\Population\Data\RF\data\MMR\Temp\Derived\temp.tif 
names       : temp 
min values  : -114 
max values  :  289 

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WorldClim/BioClim Mean Annual Precipitation 1950-2000, 30 arc-second

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  : 21264, 10705, 227631120, 1  (nrow, ncol, ncell, nlayers)
resolution  : 100, 100  (x, y)
extent      : 42287, 1112787, 1055587, 3181987  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=tmerc +lat_0=0 +lon_0=96 +k=0.9996 +x_0=500000 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0 
data source : D:\Users\jnieves\Research\Population\Data\RF\data\MMR\Precip\Derived\precip.tif 
names       : precip 
min values  :    255 
max values  :   7772 

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Roads Network (OSM), 2015

Folder: Roads
File Name: roads.shp
Source: Open Street Map, Downloaded 2015-07-09, 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    : 72126 
extent      : 92870, 1038458, 1090237, 3111855  (xmin, xmax, ymin, ymax)
coord. ref. : NA 
variables   : 7

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River Network

Folder: Rivers
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: linear
Derived Covariates:
dst,

class       : SpatialLinesDataFrame 
features    : 6164 
extent      : 93598, 1045609, 1090525, 3156481  (xmin, xmax, ymin, ymax)
coord. ref. : NA 
variables   : 9

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Populated Places

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    : 2037 
extent      : 99132, 1033200, 1101195, 3112813  (xmin, xmax, ymin, ymax)
coord. ref. : NA 
variables   : 13

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Waterbodies (OSM), 2015

Folder: Waterbodies
File Name: waterways.shp
Source: Open Street Map, Downloaded 2015-07-09, 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    : 5181 
extent      : 103358, 1040134, 1091220, 3156435  (xmin, xmax, ymin, ymax)
coord. ref. : NA 
variables   : 4