Impacts of spatial scale on the delineation of spatiotemporal urban expansion

The delineation of spatiotemporal urban expansion highly depends on the selection of moving window size. Few studies examine the effects of moving window size and the scaling mechanism when analyzing urban expansion patterns. This study selected nine moving windows from 450 m to 4050 m with a scale...

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Autores principales:	Rong Wang, Yongjiu Feng, Xiaohua Tong, Jiajun Zhao, Shuting Zhai
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Spatiotemporal urban expansion Moving window size Scale effect Scale relation Shanghai Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/2e037746a0ba42608471519518a0e39d
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id	oai:doaj.org-article:2e037746a0ba42608471519518a0e39d
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spelling	oai:doaj.org-article:2e037746a0ba42608471519518a0e39d2021-12-01T04:55:18ZImpacts of spatial scale on the delineation of spatiotemporal urban expansion1470-160X10.1016/j.ecolind.2021.107896https://doaj.org/article/2e037746a0ba42608471519518a0e39d2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21005616https://doaj.org/toc/1470-160XThe delineation of spatiotemporal urban expansion highly depends on the selection of moving window size. Few studies examine the effects of moving window size and the scaling mechanism when analyzing urban expansion patterns. This study selected nine moving windows from 450 m to 4050 m with a scale (size) interval of 450 m to examine the urban expansion dynamics of Shanghai from 1995 to 2005, and from 2005 to 2015. Three urban expansion rate indicators were selected to explore the scale dependence of urban expansion, and these indicators include the overall urban expansion rate (OUER), the gridded urban expansion rate (GUER), and the boxed urban expansion rate (BUER). In addition, Global Moran’s I was used to measure the spatial autocorrelation of urban expansion on different scales. The results show that the changing moving window size has varying impacts on delineating urban dynamics when using these three indicators. Specifically, OUER and GUER yield polynomial relationships with the moving window size, while BUER does not comply with any known functions in terms of the scaling relations. All three indicators reach their extreme points and/or inflection points at sizes of 1800 m, 2250 m and 2700 m, and the optimal size is speculated in the range of 1800–2700 m. This study should help to choose appropriate moving window sizes and suitable urban expansion indicators to more accurately capture the spatial differences in urban expansion dynamics and assist land-use planning.Rong WangYongjiu FengXiaohua TongJiajun ZhaoShuting ZhaiElsevierarticleSpatiotemporal urban expansionMoving window sizeScale effectScale relationShanghaiEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107896- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Spatiotemporal urban expansion Moving window size Scale effect Scale relation Shanghai Ecology QH540-549.5
spellingShingle	Spatiotemporal urban expansion Moving window size Scale effect Scale relation Shanghai Ecology QH540-549.5 Rong Wang Yongjiu Feng Xiaohua Tong Jiajun Zhao Shuting Zhai Impacts of spatial scale on the delineation of spatiotemporal urban expansion
description	The delineation of spatiotemporal urban expansion highly depends on the selection of moving window size. Few studies examine the effects of moving window size and the scaling mechanism when analyzing urban expansion patterns. This study selected nine moving windows from 450 m to 4050 m with a scale (size) interval of 450 m to examine the urban expansion dynamics of Shanghai from 1995 to 2005, and from 2005 to 2015. Three urban expansion rate indicators were selected to explore the scale dependence of urban expansion, and these indicators include the overall urban expansion rate (OUER), the gridded urban expansion rate (GUER), and the boxed urban expansion rate (BUER). In addition, Global Moran’s I was used to measure the spatial autocorrelation of urban expansion on different scales. The results show that the changing moving window size has varying impacts on delineating urban dynamics when using these three indicators. Specifically, OUER and GUER yield polynomial relationships with the moving window size, while BUER does not comply with any known functions in terms of the scaling relations. All three indicators reach their extreme points and/or inflection points at sizes of 1800 m, 2250 m and 2700 m, and the optimal size is speculated in the range of 1800–2700 m. This study should help to choose appropriate moving window sizes and suitable urban expansion indicators to more accurately capture the spatial differences in urban expansion dynamics and assist land-use planning.
format	article
author	Rong Wang Yongjiu Feng Xiaohua Tong Jiajun Zhao Shuting Zhai
author_facet	Rong Wang Yongjiu Feng Xiaohua Tong Jiajun Zhao Shuting Zhai
author_sort	Rong Wang
title	Impacts of spatial scale on the delineation of spatiotemporal urban expansion
title_short	Impacts of spatial scale on the delineation of spatiotemporal urban expansion
title_full	Impacts of spatial scale on the delineation of spatiotemporal urban expansion
title_fullStr	Impacts of spatial scale on the delineation of spatiotemporal urban expansion
title_full_unstemmed	Impacts of spatial scale on the delineation of spatiotemporal urban expansion
title_sort	impacts of spatial scale on the delineation of spatiotemporal urban expansion
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/2e037746a0ba42608471519518a0e39d
work_keys_str_mv	AT rongwang impactsofspatialscaleonthedelineationofspatiotemporalurbanexpansion AT yongjiufeng impactsofspatialscaleonthedelineationofspatiotemporalurbanexpansion AT xiaohuatong impactsofspatialscaleonthedelineationofspatiotemporalurbanexpansion AT jiajunzhao impactsofspatialscaleonthedelineationofspatiotemporalurbanexpansion AT shutingzhai impactsofspatialscaleonthedelineationofspatiotemporalurbanexpansion
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Impacts of spatial scale on the delineation of spatiotemporal urban expansion

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