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GIS and spatial modeling in regional...

Yu, Danlin.

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GIS and spatial modeling in regional development studies: A case of greater Beijing (China).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GIS and spatial modeling in regional development studies: A case of greater Beijing (China)./
作者:	Yu, Danlin.
面頁冊數:	145 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-03, Section: A, page: 1118.
Contained By:	Dissertation Abstracts International66-03A.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3168232
ISBN:	0542043173

GIS and spatial modeling in regional development studies: A case of greater Beijing (China).
Yu, Danlin.

GIS and spatial modeling in regional development studies: A case of greater Beijing (China). - 145 p.

Source: Dissertation Abstracts International, Volume: 66-03, Section: A, page: 1118.

Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2005.

This research focuses on the application of GIS and spatial analysis to urban/regional development studies. Geographic analysis has recently been widely used in regional studies. Application in China is limited due partly to data availability and methodological development. In this research, I initiate the attempt to establish an analytical framework of GIS and spatial data analysis in China's regional development research. The study employs a multi-scale, multi-methodology approach in analyzing geographic data (geographic information).

ISBN: 0542043173Subjects--Topical Terms:

524010
Geography.

GIS and spatial modeling in regional development studies: A case of greater Beijing (China).
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245 1 0 $a GIS and spatial modeling in regional development studies: A case of greater Beijing (China).
300 $a 145 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-03, Section: A, page: 1118.
500 $a Supervisor: Yehua Dennis Wei.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2005.
520 $a This research focuses on the application of GIS and spatial analysis to urban/regional development studies. Geographic analysis has recently been widely used in regional studies. Application in China is limited due partly to data availability and methodological development. In this research, I initiate the attempt to establish an analytical framework of GIS and spatial data analysis in China's regional development research. The study employs a multi-scale, multi-methodology approach in analyzing geographic data (geographic information).
520 $a A general GIS and spatial data analysis framework is set through a study at the provincial level in China. Focus of the study then turns to analyze data at the county level, based on the case of Greater Beijing, China. Three types of intensive GIS and spatial data analyses are carried out. First, I investigate the spatial patterns and dynamics of regional development through GIS and exploratory spatial data analysis (ESDA). In particular, the Moran's Index of per capita GDP is discussed in detail for regional/urban development pattern analysis. The analysis reveals significant positive spatial autocorrelation in Greater Beijing from 1978--2001. Dynamic analysis indicates such spatial autocorrelation is increasing. Furthermore, local spatial autocorrelation analysis finds a spatial urban-rural two-tier structure, which agrees with the common wisdom of China's regional development patterns. Such spatial structure has been shattered during the reform. Instead, a south-north divide in Great Beijing emerges.
520 $a Second, spatial regression is employed for understanding global regional development mechanisms from a spatial econometric perspective. Data from 1995 and 2001 are used. Results reveal that the spatial models perform better than the ordinary least squares model. Specifically, in 1995 and 2001, the signs of all the development factors' coefficients remain the same. However, their magnitude and significance change. In particular, per capital foreign direct investment and fixed investment become less influential in the spatial models. Per capita local financial expense emerges to be more influential.
520 $a Third, geographically weighted regression models are developed to investigate spatially varying development mechanisms. The analysis reveals significant spatially varying development mechanisms. Influences of globalization and domestic investment seem to complement each other in space. It indicates regional development has strong local characteristics.
590 $a School code: 0263.
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791 $a Ph.D.
792 $a 2005
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