PROGRESS IN GEOGRAPHY ›› 2010, Vol. 29 ›› Issue (6): 757-768.doi: 10.11820/dlkxjz.2010.06.016

• Original Articles • Previous Articles    

Progress of Spatial Statistics and Its Application in Economic Geography

YANG Zhenshan,CAI Jianming   

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2009-12-01 Revised:2010-02-01 Online:2010-06-25 Published:2010-06-25


Since the 1990s, spatial statistics has been emerged as an innovative and important method in human geography, especially in urban and regional studies. This method is valued at understanding socioeconomic elements based on their intrinsic spatial dependency. By deciphering the spatial dependency, it modifies conventional statistics, with geographical information systems on data storing, management, visualization and analysis, to improve knowledge of understanding urban and regional space. Allowing for the requirement of urban and regional studies, the paper introduces the main concepts, principles, techniques and problems when spatial statistics is applied. The paper is particularly interested in three main application trends: exploratory spatial data analysis, local statistics, and spatial statistic modeling. With the purpose of properly applying the method of spatial statistics, it is argued that applicants should pay attention to spatial scale, spatial weights, edge effects and ecological fallacy. The paper further reviews the application and progress in the themes of economic agglomeration, land use and urban structure, transportation and real estate by addressing associated application values. It is pointed out that the application of spatial statistics will strengthen the analysis at micro-levels but will need high resolution data set.

Key words: economic geography, spatial data, spatial dependency, spatial statistics