GPWv411: Data Context (Gridded Population of the World Version 4.11)

CIESIN/GPWv411/GPW_Data_Context
Dataset Availability
2000-01-01T00:00:00Z–2020-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("CIESIN/GPWv411/GPW_Data_Context")

Description

This dataset categorizes pixels with estimated zero population based on information provided in the census documents.

General Documentation

The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census and administrative units. Population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for each modeled year.

Bands

Resolution
927.67 meters

Bands

Name Min Max Description
data_context 0* 207*

Categorizes pixels with estimated zero population based on information provided in the census documents.

* estimated min or max value

data_context Class Table

Value Color Description
0 #ffffff Not Applicable
201 #099506 Park or protected area
202 #f04923 Military district, airport zone, or other infrastructure
203 #e62440 Not enumerated or not reported in census
204 #706984 No households
205 #a5a5a5 Uninhabited
206 #d4cc11 Population not gridded
207 #000000 Missing age or sex data

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Data Context, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). doi:10.7927/H46M34XX. Accessed DAY MONTH YEAR.

DOIs

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('CIESIN/GPWv411/GPW_Data_Context');
var raster = dataset.select('data_context');
var raster_vis = {
  'min': 200.0,
  'palette': [
    'ffffff',
    '099506',
    'f04923',
    'e62440',
    '706984',
    'a5a5a5',
    'ffe152',
    'd4cc11',
    '000000'
  ],
  'max': 207.0
};
Map.setCenter(-88.6, 26.4, 1);
Map.addLayer(raster, raster_vis, 'data_context');
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