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Spatial autocorrelation is an important spatial statistical method in Geographic Information Systems, which can reveal spatial structures and patterns of regional variables. With this method, this article calculates the population density's spatial correlation model for county-level units in Jiangsu province of China in 2001, 2002, 2003 and 2004, explores and demonstrates every county-level's global...
By employing Moran's I and Gini coefficient as measures of spatial concentration, we explore the spatial patterns of interprovincial migration sharing the same origin or destination in China, 1995–2000. The values of Moran's I and Gini for out-migration streams of each province as an origin and in-migration streams of each province as a destination are estimated accordingly. Through comparing these...
The status of things always changes with the process of time. Markov chains approach considers that as long as the current status is known, the future state of things can be forecasted without understanding the past state. Considering the spatial autocorrelation of spatial things, Markov chains is combined with spatial autocorrelation to develop the spatial Markov chains to study the influence of...
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