Original Articles

A Review on RS- and GIS-Based Population Estimation Methods

  • 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS Beijing 100101, China)
    2. Graduate School of Chinese Academy of Sciences, Beijing 102200, China

Received date: 2005-09-01

  Revised date: 2005-09-01

  Online published: 2006-01-25


With rapid development of RS and GIS technologies, RS and GIS have become the main means of population estimation. RS- and GIS-based population estimation methods can be divided into two categories in terms of the application goal and the required data information, i.e. areal interpolation and statistical modeling. Methods depending on whether ancillary information is used, areal interpolation methods can be further grouped into two categories: areal interpolation without ancillary information and areal interpolation with ancillary information. Statistical modeling methods can be further separated into five classes according to the difference of independent variables in the model, i.e. built-up area estimation method, land use density method, dwelling unit estimation method, image pixel characteristic estimation method, and physical and socio-economic characteristic estimation method. Different kinds of population estimation methods based on RS and GIS were reviewed following the aforementioned classification criterion. The application occasion, advantage and disadvantage, and research instance of all sorts of population estimation methods were analyzed. Finally, the issues necessary to be studied further in this field were put forward.

Cite this article

LI Su, ZHUANG Dafang . A Review on RS- and GIS-Based Population Estimation Methods[J]. PROGRESS IN GEOGRAPHY, 2006 , 25(1) : 109 -121 . DOI: 10.11820/dlkxjz.2006.01.012


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