Population Estimation Methods in GIS and Remote Sensing: A Review
Abstract
This paper reviews existing population estimation methods in the GIS and remote sensing literatures. The methods can be grouped into two categories: areal interpolation methods and statistical modeling methods. Areal interpolation methods can be further separated into two categories depending on whether ancillary information is used. Statistical modeling methods can be further grouped into five categories based on the relationship between populations and urban areas, land uses, dwelling units, image pixel characteristics, or other physical or socioeconomic characteristics.
Document Type
Article
DOI
https://doi.org/10.2747/1548-1603.42.1.80
Publication Date
2005
Recommended Citation
Wu, Shuo-sheng, Xiaomin Qiu, and Le Wang. "Population estimation methods in GIS and remote sensing: A review." GIScience & Remote Sensing 42, no. 1 (2005): 80-96.
Journal Title
GIScience & Remote Sensing