Population Estimation Methods in GIS and Remote Sensing: A Review

Authors

Shuo-sheng Wu, Missouri State UniversityFollow
Xiaomin QiuFollow
Le Wang

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