Bivariate Moran spatial correlation analysis between zonal farm-land use and rural population distribution

Shisong Zhu; Zhenjie Chen; Dong Chen

doi:10.1117/12.760796

26 July 2007 Bivariate Moran spatial correlation analysis between zonal farm-land use and rural population distribution

Shisong Zhu, Zhenjie Chen, Dong Chen

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67522Q (2007) https://doi.org/10.1117/12.760796
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The relationship between human beings and the earth is one of the important aspects in geographic research, so the study on land use should be focused on the interactions caused by the relationship between human beings and the earth. The author begins with the current land use in the study area, and zonal farm-land use and rural residential population data can be spatialized on the map and reclassified into the grid, according to the results of geostatistcal analysis. Based on the spatialized results, using bivariate Moran indices, a correlation analysis between these two factors and the statistical test should be performed, and the results can be visualized by GIS methods. What has been showing in this research is that, comparing with classical correlation analysis in normal statistics, spatial correlation analysis can be more exact in theory and more available in application.

Citation Download Citation

Shisong Zhu, Zhenjie Chen, and Dong Chen "Bivariate Moran spatial correlation analysis between zonal farm-land use and rural population distribution", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522Q (26 July 2007); https://doi.org/10.1117/12.760796

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