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Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?
Lin, Yingzhi1; Deng, Xiangzheng2,3; Li, Xing1; Ma, Enjun1
2014-12-01
Source PublicationFRONTIERS OF EARTH SCIENCE
Volume8Issue:4Pages:512-523
AbstractSpatially 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.
SubtypeArticle
KeywordMultinomial Logistic Regression Land Use Change Logistic Regression Land Use Suitability Land Use Allocation
WOS HeadingsScience & Technology ; Physical Sciences
WOS Subject ExtendedGeology
WOS KeywordCHINA ; LANDSCAPE ; DETERMINANTS ; DEGRADATION ; ABANDONMENT ; POPULATION ; SIMULATION ; DYNAMICS ; CLIMATE ; MODELS
Indexed BySCI
Language英语
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000345389600005
PublisherSPRINGER
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68452
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLin, Yingzhi
Affiliation1.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
Recommended Citation
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.
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