Effectiveness of remotely Sensed Built Areas for Constraining and Modelling Gridded Population Estimates - Script Samples and data
These data present the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, random forest with dasymetric component, and a hybrid of the previous two.
Region : Africa
DOI : 10.5258/SOTON/WP00643
Date of production : 2018-11-01
Recommended citation
CITATION: WorldPop. 2018. Effectiveness of Remotely Sensed Built Areas for Constraining and Modelling Gridded Population Estimates - Script Samples and Data. University of Southampton.
Data Files :
WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).