Evaluating the suitability of urban development land with a Geodetector

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,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Haiying Wang, Fen Qin, Chengdong Xu, Bin Li, Linping Guo, Zhe Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Geodetector K-means clustering Logistic regression Principal component analysis Suitability evaluation Urban development land Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/9206ea1c8b314f9da4db43a904c697b7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9206ea1c8b314f9da4db43a904c697b7
record_format	dspace
spelling	oai:doaj.org-article:9206ea1c8b314f9da4db43a904c697b72021-12-01T04:43:17ZEvaluating the suitability of urban development land with a Geodetector1470-160X10.1016/j.ecolind.2021.107339https://doaj.org/article/9206ea1c8b314f9da4db43a904c697b72021-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000042https://doaj.org/toc/1470-160XEnsuring 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.Haiying WangFen QinChengdong XuBin LiLinping GuoZhe WangElsevierarticleGeodetectorK-means clusteringLogistic regressionPrincipal component analysisSuitability evaluationUrban development landEcologyQH540-549.5ENEcological Indicators, Vol 123, Iss , Pp 107339- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geodetector K-means clustering Logistic regression Principal component analysis Suitability evaluation Urban development land Ecology QH540-549.5
spellingShingle	Geodetector K-means clustering Logistic regression Principal component analysis Suitability evaluation Urban development land Ecology QH540-549.5 Haiying Wang Fen Qin Chengdong Xu Bin Li Linping Guo Zhe Wang Evaluating the suitability of urban development land with a Geodetector
description	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.
format	article
author	Haiying Wang Fen Qin Chengdong Xu Bin Li Linping Guo Zhe Wang
author_facet	Haiying Wang Fen Qin Chengdong Xu Bin Li Linping Guo Zhe Wang
author_sort	Haiying Wang
title	Evaluating the suitability of urban development land with a Geodetector
title_short	Evaluating the suitability of urban development land with a Geodetector
title_full	Evaluating the suitability of urban development land with a Geodetector
title_fullStr	Evaluating the suitability of urban development land with a Geodetector
title_full_unstemmed	Evaluating the suitability of urban development land with a Geodetector
title_sort	evaluating the suitability of urban development land with a geodetector
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/9206ea1c8b314f9da4db43a904c697b7
work_keys_str_mv	AT haiyingwang evaluatingthesuitabilityofurbandevelopmentlandwithageodetector AT fenqin evaluatingthesuitabilityofurbandevelopmentlandwithageodetector AT chengdongxu evaluatingthesuitabilityofurbandevelopmentlandwithageodetector AT binli evaluatingthesuitabilityofurbandevelopmentlandwithageodetector AT linpingguo evaluatingthesuitabilityofurbandevelopmentlandwithageodetector AT zhewang evaluatingthesuitabilityofurbandevelopmentlandwithageodetector
_version_	1718405785377046528

Evaluating the suitability of urban development land with a Geodetector

Ejemplares similares