| Popis: |
Spatial autocorrelation is one of the most important characteristics of spatial data. Based on the fifth and sixth census data, we focus on in this paper studying the spatial autocorrelation of the population in Shandong province. Specifically, the global Moran I statistic is first used to quantify the spatial clustering of the population in the whole province both in 2000 and 2010 years, respectively. Then, the local Moran I statistic is employed to assess the spatial autocorrelation degree between one city and others. Finally, related results are visualized by applying the visualization technique of the Surfer software. |
