The Construction of Spatial Weight Matrix Based on Discrete Points through Building a Searching Area for Each Point
In this paper, we present an algorithm to construct a spatial weight matrix by employing the threshold method to measure the spatial connectivity among discrete spatial points. This method can save searching costs by building a searching area for each point when we set values for each element of the weight matrix, and achieve optimization in the process of constructing a spatial weight matrix. The algorithm presented here has been implemented with Python programming language. A sample of 6122 discrete points of the aerosol optical thickness is used to test the efficiency of the algorithm through figuring out the datasets spatial autocorrelation indices.
discrete points spatial weight matrix python spatial autocorrelation aerosol optical thickness
Wenli Yu Yingxia Pu Gang Chen Jiechen Wang Jingsong Ma Hongling Han
School of Geographic and Oceanographic Sciences Nanjing University Nanjing 210093, China School of Business, Linyi Normal University Linyi 276000, China
国际会议
太原
英文
250-253
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）