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Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
ID:
BDSR327
Author(s):
a
Publication date:
Thursday, January 1, 2015
Maps:
Big Data Systematic Map
Review design:
Measurement Study
Confidence Level:
Measurement Study
Regions:
East Asia and Pacific
Sub-Saharan Africa
Population:
Rural
Urban
Interventions:
Data from satellites
Outcomes:
Urban Development
Environment sustainability
Link:
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0107042
Countries:
Multi-continent
Study design:
Measurement Study