Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?

	Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?
	Lin, Yingzhi 1; Deng, Xiangzheng 2,3; Li, Xing 1; Ma, Enjun 1
刊名	FRONTIERS OF EARTH SCIENCE
	2014-12-01
卷号	8 期号:4 页码:512-523
关键词	Multinomial Logistic Regression Land Use Change Logistic Regression Land Use Suitability Land Use Allocation
文献子类	Article
英文摘要	Spatially explicit simulation of land use change is the basis for estimating the effects of land use and cover change on energy fluxes, ecology and the environment. At the pixel level, logistic regression is one of the most common approaches used in spatially explicit land use allocation models to determine the relationship between land use and its causal factors in driving land use change, and thereby to evaluate land use suitability. However, these models have a drawback in that they do not determine/allocate land use based on the direct relationship between land use change and its driving factors. Consequently, a multinomial logistic regression method was introduced to address this flaw, and thereby, judge the suitability of a type of land use in any given pixel in a case study area of the Jiangxi Province, China. A comparison of the two regression methods indicated that the proportion of correctly allocated pixels using multinomial logistic regression was 92.98%, which was 8.47% higher than that obtained using logistic regression. Paired t-test results also showed that pixels were more clearly distinguished by multinomial logistic regression than by logistic regression. In conclusion, multinomial logistic regression is a more efficient and accurate method for the spatial allocation of land use changes. The application of this method in future land use change studies may improve the accuracy of predicting the effects of land use and cover change on energy fluxes, ecology, and environment.
WOS关键词	CHINA ; LANDSCAPE ; DETERMINANTS ; DEGRADATION ; ABANDONMENT ; POPULATION ; SIMULATION ; DYNAMICS ; CLIMATE ; MODELS
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000345389600005
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/68451]
专题	中国科学院地理科学与资源研究所
通讯作者	Lin, Yingzhi
作者单位	1.China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Lin, Yingzhi,Deng, Xiangzheng,Li, Xing,et al. Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?[J]. FRONTIERS OF EARTH SCIENCE,2014,8(4):512-523.
APA	Lin, Yingzhi,Deng, Xiangzheng,Li, Xing,&Ma, Enjun.(2014).Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?.FRONTIERS OF EARTH SCIENCE,8(4),512-523.
MLA	Lin, Yingzhi,et al."Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?".FRONTIERS OF EARTH SCIENCE 8.4(2014):512-523.