鍦扮悊绉戝杩涘睍 鈥衡�� 2009, Vol. 28 鈥衡�� Issue (1): 1-8.DOI: 10.11820/dlkxjz.2009.01.001

鈥� 鍦扮悊缁熻涓庢ā鍨� 鈥�    涓嬩竴绡�

鍦扮悊绌洪棿鍒嗗竷鏁翠綋缁熻鐮旂┒杩涘睍

璧典綔鏉�   

  1. 涓浗绉戝闄㈢鎶�鏀跨瓥涓庣鐞嗙瀛︾爺绌舵墍,鍖椾含100080
  • 鏀剁鏃ユ湡:2008-08-01 淇洖鏃ユ湡:2008-10-01 鍑虹増鏃ユ湡:2009-01-24 鍙戝竷鏃ユ湡:2009-01-24
  • 浣滆�呯畝浠�:璧典綔鏉�(1962- ),鐢�,鍗氬+,鐮旂┒鍛�.鐮旂┒棰嗗煙涓虹┖闂寸粺璁°�佺┖闂寸粡娴庡拰鑱氶泦鍒涙柊.E-mail: zhao1@casipm.ac.cn
  • 鍩洪噾璧勫姪:

    鍥藉鑷劧绉戝鍩洪噾椤圭洰(70673099); 涓浗绉戝闄㈢鎶�鏀跨瓥涓庣鐞嗙瀛︾爺绌舵墍鎵�闀垮熀閲戦」鐩�(0700841J01); 鍥藉绉戞妧 鍩虹鎬у伐浣滀笓椤硅棰�(2007FY140800-4).

Global Statistics of Spatial Distribution: A Literature Review

ZHAO Zuoquan   

  1. Institute of Policy and Management, CAS, Beijing 100080, China
  • Received:2008-08-01 Revised:2008-10-01 Online:2009-01-24 Published:2009-01-24

鎽樿锛�

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鍏抽敭璇�: 鍦扮悊鑼冨洿, 绌洪棿鍒嗗竷, 绌洪棿鍒嗘瀽, 绌洪棿瀵嗛泦搴�, 绌洪棿缁熻

Abstract:

The past five decades have witnessed increasing interest in the statistical analysis of spatial distribution, whose local and global characteristics are major concerns among geographers, statisticians, and spatial analysts. The purpose of this paper is to present a review of the global statistics of spatial distribution, the methods that describe, estimate, and predict the overall characteristics of spatial distribution as an independent field of research. The global characteristics of a spatial distribution include its center (or centroid), range, intensity, orientation, and shape in 2- D space. About 20 spatial statistical indices are proposed and employed to identify those global characteristics and their changes (or spatiotemporal processes) for a variety of spatial distributions, socioeconomic or natural, and to examine the relationships between different spatial distributions. The fundamental issues of this field that are discussed include spatial independence assumption, spatial random sampling,spatiotemporal process, spatiotemporal stationary stochastic process, spatial descriptive statistics and spatial probabilistic functions.

Key words: geographical range, spatial analysis, spatial intensity, spatial statistics, statistics of spatial distribution