中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of spatial autoregressive models on multi-scale land use

文献类型:期刊论文

作者Chen Xiwei; Dai Erfu
刊名Transactions of the Chinese Society of Agricultural Engineering
出版日期2011
卷号27期号:6页码:324
关键词土地利用 模型 空间自相关 经典线性回归 空间自回归模型 多尺度 广州市花都区
ISSN号1002-6819
英文摘要As a case study on the Huadu district of Guangzhou city,this paper compared classical linear regression model,spatial lag model (SLM)and spatial error model (SEM)through the Lagrange Multiplier (LM)and goodness-of-fit (GOF)tests,in terms of their explanatory power and applicability on land use at different scales.The results showed:1)The residuals of the classical linear regression models were proved its positive autocorrelation,which were weaker than those of the original land use data,this indicated that classical linear regression model could partially explain the spatial layout but could not capture all spatial dependency in the land use data;2)With higher GOF,the SLMs and SEMs could better diminish the spatial autocorrelation than the linear regression model;3)Land use at different scales required different optimal autoregressive models,i.e.the specific model had the character of scale dependency.
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/153381]  
专题中国科学院地理科学与资源研究所
作者单位中国科学院地理科学与资源研究所
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GB/T 7714
Chen Xiwei,Dai Erfu. Comparison of spatial autoregressive models on multi-scale land use[J]. Transactions of the Chinese Society of Agricultural Engineering,2011,27(6):324.
APA Chen Xiwei,&Dai Erfu.(2011).Comparison of spatial autoregressive models on multi-scale land use.Transactions of the Chinese Society of Agricultural Engineering,27(6),324.
MLA Chen Xiwei,et al."Comparison of spatial autoregressive models on multi-scale land use".Transactions of the Chinese Society of Agricultural Engineering 27.6(2011):324.

入库方式: OAI收割

来源:地理科学与资源研究所

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