- Dataset Availability
- 2000-01-01T00:00:00Z–2020-01-01T00:00:00Z
- Dataset Provider
- NASA SEDAC at the Center for International Earth Science Information Network
- Earth Engine Snippet
-
ee.ImageCollection("CIESIN/GPWv411/GPW_Data_Context")
- Tags
Description
This dataset categorizes pixels with estimated zero population based on information provided in the census documents.
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. |
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
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
Explore with Earth Engine
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');