2015Cehui kexueRequires access

Spatial-temporal evolution of income in middle and south Jiangsu province counties based on ESDA-GIS

Bai Cai-qua

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Abstract

Aiming at the shortcoming that traditional statistical methods cannot effectively depict the spatial pattern evolution of resident income,this paper proposed a method which combined mathematical statistics and spatial statistics.In this paper,exploratory spatial data analysis(ESDA)was used to research the change of urban disposable income per capita at county level from 1989 to 2011in middle and south Jiangsu province and the sequential variation and spatial pattern evolution characteristics of income disparity were described.It was found that the absolute discrepancy of urban disposable income per capita at county level was increasing year by year and the relative discrepancy revealed the periodic fluctuation increasing trend.Meanwhile,the level of urban disposable income per capita showed a strong trend of spatial auto-correlation and the similar units cluster strongly in space.South of Jiangsu province was at high value cluster,with the hot spot regions agglomerate in there.The middle of Jiangsu province was at low value cluster,with the cold spot regions gather in there.In addition,the growth spatial pattern of urban disposable income per capita was unstable with hot-spots and cold-spots areas switching frequently,and they presented a high concentration situation,but regional distribution situation of other types were gradually weakened.

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What this paper is about

Aiming at the shortcoming that traditional statistical methods cannot effectively depict the spatial pattern evolution of resident income,this paper proposed a method which combined mathematical statistics and spatial statistics.In this paper,exploratory spatial data analysis(ESDA)was used to research the change of urban disposable income per capita at county level from 1989 to 2011in middle and south Jiangsu province and the sequential variation and spatial pattern evolution characteristics of income disparity were described.It was found that the absolute discrepancy of urban disposable income per capita at county level was increasing year by year and the relative discrepancy revealed the periodic fluctuation increasing trend.Meanwhile,the level of urban disposable income per capita showed a strong trend of spatial auto-correlation and the similar units cluster strongly in space.South of Jiangsu province was at high value cluster,with the hot spot regions agglomerate in there.The middle of Jiangsu province was at low value cluster,with the cold spot regions gather in there.In addition,the growth spatial pattern of urban disposable income per capita was unstable with hot-spots and cold-spots areas switching frequently,and they presented a high concentration situation,but regional distribution situation of other types were gradually weakened.

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Available abstract

Aiming at the shortcoming that traditional statistical methods cannot effectively depict the spatial pattern evolution of resident income,this paper proposed a method which combined mathematical statistics and spatial statistics.In this paper,exploratory spatial data analysis(ESDA)was used to research the change of urban disposable income per capita at county level from 1989 to 2011in middle and south Jiangsu province and the sequential variation and spatial pattern evolution characteristics of income disparity were described.It was found that the absolute discrepancy of urban disposable income per capita at county level was increasing year by year and the relative discrepancy revealed the periodic fluctuation increasing trend.Meanwhile,the level of urban disposable income per capita showed a strong trend of spatial auto-correlation and the similar units cluster strongly in space.South of Jiangsu province was at high value cluster,with the hot spot regions agglomerate in there.The middle of Jiangsu province was at low value cluster,with the cold spot regions gather in there.In addition,the growth spatial pattern of urban disposable income per capita was unstable with hot-spots and cold-spots areas switching frequently,and they presented a high concentration situation,but regional distribution situation of other types were gradually weakened.

Key concepts: Geography, Per capita income, Per capita, Cluster (spacecraft), Spatial analysis, Common spatial pattern, Spatial distribution, Distribution (mathematics)

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Spatial-temporal evolution of income in middle and south Jiangsu province counties based on ESDA-GIS — Research Paper | ScholarLens