中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Geographical Analysis of Maize Rough Dwarf Disease in the North China Plain: A Comparison of Four Spatial Regression Models

文献类型:SCI/SSCI论文

作者Yang Y. ; Cheng C. X. ; Yang J. Y. ; Li S. M. ; Zhang X. D. ; Zhu D. H.
发表日期2012
关键词Maize Rough Dwarf Disease Ordinary Least Squares Simultaneous Autoregressive Model Generalized Least Squares Model Geographically Weighted Regression autocorrelation planthopper abundance pest
英文摘要Information on how maize rough dwarf disease (MRDD) is spatially concentrated by different characteristics is a key means of guiding agronomic arrangement. In particular, to reduce the spread of MRDD, it is necessary to understand the characteristics of contributors in terms of environment and their geographical structure. Here, we used 179 survey plots to investigate the spatial distributions and heterogeneity in the model residuals from four regression models with the ordinary least squares (OLS) as the benchmark. The results demonstrated that MRDD had the spatial dependency and spatial heterogeneity, and the geographically weighted regression (GWR) was the most of reliable regression models and performed well in three types of cartograms. Eight environmental factors had dissimilar influence on each county's MRDD.
出处Sensor Letters
10
1-2
349-361
收录类别SCI
语种英语
ISSN号1546-198X
源URL[http://ir.igsnrr.ac.cn/handle/311030/26716]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Yang Y.,Cheng C. X.,Yang J. Y.,et al. Geographical Analysis of Maize Rough Dwarf Disease in the North China Plain: A Comparison of Four Spatial Regression Models. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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