A Review of Geo-Spatial Sampling Theory

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  • 1. Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;
    2. Graduate University of Chinese Academy of Sciences,Beijing 100039,China;
    3. Institute of Automation,CAS,Beijing 100080,China

Received date: 2008-10-28

  Revised date: 2008-12-29

  Online published: 2009-03-25

Supported by

National Natural Science Foundation of China,No.40471111;No70571076;863 Program,No.2006AA12Z205

Abstract

Sample survey is the groundwork of the studies of natural resources, environmental problems and socio-economy. The geo-related characteristic of spatial data limits the application of classic sampling theory, which is essentially based on independent assumption. Spatial sampling theory is the foundation of sample survey of spatial related resources. Firstly, this paper introduces the history of spatial sampling theory and presents four main issues addressed by this theory. Then it reviews the theory and the applications of model-based and design-based statistics inference. Finally, this paper gives a detailed description of (1): Kriging theory application in spatial sampling; (2): forward and backward samples distribution methods, and the combination of the above two; (3): six criteria for optimization of sample selection.

Cite this article

JIANG Chengsheng,WANG Jinfeng,CAO Zhidong . A Review of Geo-Spatial Sampling Theory[J]. Acta Geographica Sinica, 2009 , 64(3) : 368 -380 . DOI: 10.11821/xb200903012

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