Evaluating the suitability of urban development land with a Geodetector

doi:10.1016/j.ecolind.2021.107339

	Evaluating the suitability of urban development land with a Geodetector
	Wang, Haiying 1,2,5; Qin, Fen 1,2,5; Xu, Chengdong 3; Li, Bin 1,2; Guo, Linping 4; Wang, Zhe 1
刊名	ECOLOGICAL INDICATORS
	2021-04-01
卷号	123 页码:13
关键词	Geodetector K-means clustering Logistic regression Principal component analysis Suitability evaluation Urban development land
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2021.107339
通讯作者	Li, Bin(libin@henu.edu.cn)
英文摘要	Ensuring the suitability of urban development land is essential for delineating spatial growth boundaries and urban spatial layouts. However, the significant impact of subjective uncertainty on the suitability evaluation process significantly reduces the reliability of the evaluation results. Thus, in this study, we developed a new method to address this issue and improve the accuracy of the evaluation results. Zhengzhou in China was considered as the research area and the data utilized were obtained from the following primary sources: Landsat TM/ETM/OLI image data, land use data, digital elevation model data, spatial primary geographical data, and digital map data. A new method for evaluating the suitability of urban development land was developed by combining logistic regression, principal component analysis, kriging interpolation, K-means, and the Geodetector method to evaluate and classify the suitability of urban development land in Zhengzhou City during 2013. By using logistic regression, we could accurately evaluate the effects of a single factor, thereby avoiding subjective assessments. The principal component can be used to reduce the dimensions of the evaluation results for a single factor where the weight of the principal component is determined by using the cumulative contribution rate in order to obtain the comprehensive evaluation result. Kriging interpolation can be used to predict the evaluation results for the grid surface by using the principal component to comprehensively evaluate the sample points. K means can be used to automatically classify the evaluation results for the grid surface. Geodetector was used to detect the spatial differentiation of the results in order to confirm the validity of the spatial partition results. These methods can avoid interference due to human factors and yield more objective and accurate evaluation results. The results indicated that the proposed evaluation method can avoid the subjective influence of the evaluation index classification and the determination of the index weight to obtain extremely accurate evaluations and high effectiveness. The suitability grading and evaluation values were highly consistent with the spatial pattern, thereby demonstrating the applicability of the evaluation results. The method and evaluation results may provide a scientific reference to support decisions regarding land resource allocation during urban development.
资助项目	National Nature Science Foundation of China[41401457] ; National Nature Science Foundation of China[41771142] ; Major Project of the Key Research Base of Humanities and Social Sciences of the Ministry of Education, China[16JJD770019] ; Young Key Teacher Training Plan of Henan[2020GGJS028] ; National Science Foundation of Henan[202300410096] ; Key Scientific Research Project Plans of Higher Education Institutions of Henan[21A170008] ; Technology Development Plan Project of Kaifeng[2003009]
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000615941600003
资助机构	National Nature Science Foundation of China ; Major Project of the Key Research Base of Humanities and Social Sciences of the Ministry of Education, China ; Young Key Teacher Training Plan of Henan ; National Science Foundation of Henan ; Key Scientific Research Project Plans of Higher Education Institutions of Henan ; Technology Development Plan Project of Kaifeng
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160721]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Bin
作者单位	1.Henan Univ, Coll Environm & Planning, Kaifeng 475004, Peoples R China 2.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat, Kaifeng 475001, Peoples R China 5.Henan Univ, Inst Urban Big Data, Kaifeng 475004, Peoples R China
推荐引用方式 GB/T 7714	Wang, Haiying,Qin, Fen,Xu, Chengdong,et al. Evaluating the suitability of urban development land with a Geodetector[J]. ECOLOGICAL INDICATORS,2021,123:13.
APA	Wang, Haiying,Qin, Fen,Xu, Chengdong,Li, Bin,Guo, Linping,&Wang, Zhe.(2021).Evaluating the suitability of urban development land with a Geodetector.ECOLOGICAL INDICATORS,123,13.
MLA	Wang, Haiying,et al."Evaluating the suitability of urban development land with a Geodetector".ECOLOGICAL INDICATORS 123(2021):13.