[dataset] GPW Gridded Population of the World v4.0

The Gridded Population of the World (GPW) collection models the distribution of human population on a continuous global raster surface. The essential inputs to GPW have been population census tables and corresponding geographic boundaries. The purpose of GPW is to provide a spatially disaggregated population layer that is compatible with data sets from social, economic, and Earth science disciplines, and remote sensing.

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Data and Resources

Additional Info

Field Value
Identifier gpwv4-0
Documentation https://sedac.ciesin.columbia.edu/binaries/web/sedac/collections/gpw-v4/gpw-v4-documentation-rev11.pdf
Contact Point Center for International Earth Science Information Network - CIESIN - Columbia University
Contact Point - ORCID iD or e-mail adress
Dataset DOI https://doi.org/10.7927/H4F47M65
Information Website https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-adjusted-to-2015-unwpp-country-totals-rev11, https://sedac.ciesin.columbia.edu/binaries/web/sedac/collections/gpw-v4/accepted-manuscript_final_editedforthewebsite.pdf
Theme / Vocabulary / Ontology https://inspire.ec.europa.eu/theme/pd
Coordinate Reference System http://www.opengis.net/def/crs/EPSG/0/4326
Spatial Resolution 0.008333
Spatial Resolution Measured As angular distance
Temporal Coverage 2000-01-01 to 2020-01-01
Temporal Resolution
Data Quality Metric

Quantitative Attribute Accuracy as Mean Absolute Error (MAE)

https://geokur-dmp.geo.tu-dresden.de/quality-register#QuantitativeAttributeAccuracyasMeanAbsoluteErrorMAE

  • value of quality metric:1.27
  • ground truth dataset:Official Swedish population count
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:global
  • temporal representativity:
  • name of quality source:A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015
  • type of quality source:publication
  • link to quality source:https://link.springer.com/content/pdf/10.1007/s11111-020-00360-8.pdf

Quantitative Attribute Accuracy as Root Mean Square Error (RMSE)

https://geokur-dmp.geo.tu-dresden.de/quality-register#QuantitativeAttributeAccuracyasRootMeanSquareErrorRMSE

  • value of quality metric:9.54
  • ground truth dataset:Official Swedish population count
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:global
  • temporal representativity:
  • name of quality source:A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015
  • type of quality source:publication
  • link to quality source:https://link.springer.com/content/pdf/10.1007/s11111-020-00360-8.pdf

Omission as Rate of Missing Items

https://geokur-dmp.geo.tu-dresden.de/quality-register#completenessOmissionAsRateOfMissingItems

  • value of quality metric:76.137
  • ground truth dataset:
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:
  • temporal representativity:
  • name of quality source:MetadataFromGeodata Extraction Tool
  • type of quality source:software
  • link to quality source:https://github.com/GeoinformationSystems/MetadataFromGeodata

Omission as Number of Missing Items

https://geokur-dmp.geo.tu-dresden.de/quality-register#completenessOmissionAsNumberOfMissingItems

  • value of quality metric:710449945
  • ground truth dataset:
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:
  • temporal representativity:
  • name of quality source:MetadataFromGeodata Extraction Tool
  • type of quality source:software
  • link to quality source:https://github.com/GeoinformationSystems/MetadataFromGeodata

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Last Updated August 1, 2022, 14:49 (UTC)
Created April 30, 2021, 14:24 (UTC)

Dataset extent