太阳成8722(中国)有限公司-GREEN NO.1

标题: Land cover pattern simulation using an eigenvector spatial filtering method in Hubei Province

作者: Jiaxin Yang, Yumin Chen, John P. Wilson, Huangyuan Tan, Jiping Cao, Zhiqiang Xu

来源出版物: Earth Science Informatics  卷:   期:   文献号:   DOI: 10.1007/s12145-020-00483-4    出版时间: JULY 2020

摘要: This paper proposes an eigenvector spatial filtering-based (ESF-based) regression model for land cover pattern simulation in China’s Hubei province. The significance and influence of biophysical, climatic, and socio-economic factors have been detected and analyzed in the study region. The ESF-based multinomial logistic regression (spatial model) is constructed for discrete choices to take spatial autocorrelation into consideration. For the massive raster pixels, a segmentation processing (grid-based partition) approach is employed to resolve the large datasets to smaller ones to improve calculation efficiency. Both 32 × 32 and 64 × 64 cell sizes are used to compare the differences and influence of these approaches. For the 32 × 32 cell size, the hitting ratio increased from 0.70 to 0.89 and the deviance decreased 65.6%. For the 64 × 64 cell size, the hitting ratio increased from 0.68 to 0.77 and the deviance decreased 33.2%. The fitted results and maps show that spatial autocorrelation (SA) plays an important role in land cover patterns. Besides, the ESF-based spatial model can isolate SA in land cover pattern simulation, and therefore can improve the fitting accuracy and decrease the model uncertainty. The experiment shows that ESF-based multinomial logistic regression method provides a promising approach for discrete choice regression for massive raster datasets.

作者关键词:

地址：

[Jiaxin Yang, Yumin Chen, Huangyuan Tan, Jiping Cao & Zhiqiang Xu] School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China

[John P. Wilson] Spatial Sciences Institute, University of Southern California, Los Angeles, CA, 90089-0374, USA

通讯作者: Yumin Chen, School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China

电子邮件地址:ymchen@whu.edu.cn

影响因子：1.45