Study on land use/cover in Yingkou City based on the Geographical Conditions Survey of China

Abstract

Selecting the official land cover data from the government-led Geographical Conditions Survey of China and utilizing the method of global and local spatial autocorrelation based on grid processing, the authors analyzed Yingkou City's characteristics of land cover spatial autocorrelation pattern. The study suggested following conclusions: 1) The Global Moran's I index of all types of land cover in Yingkou City were greater than 0.35, whose confidence level was higher than 95%. The results showed that there are strong spatial autocorrelations among different types of land cover in this area. 2) The Local Moran's I Index showed that there are significant differences in various types of land cover's coverages and ranges of the spatial aggregation or anomaly. 3) Using the cross-variable correlation analysis, the authors discussed the relationships and distribution patterns of different land cover types. This research was helpful to reveal the correlation between the spatial autocorrelation of land cover and types of land cover. The study above was also suitable for large-scale regional application, and the results were significant important for the geographical conditions monitoring.