2011Unpublished venueRequires access

The population spatial distribution model based on the spatial statistics in Shandong Province, China

Jinzong Zhang, Yuxin Zhu

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Abstract

By using traditional statistic quantile method, Geography Information system (GIS) analysis and spatial autocorrelation statistical techniques, this paper calculated the grid population density, detected the trend of population distribution, studied the spatial relationship and characteristics between prefectures through spatial autocorrelation statistical techniques. The conclusions are got from the analysis in this paper as following. The population distribution in Shandong Province can be divided into three spatial fan-shaped regions. There are no abnormal spatial areas of high density and low density in cities of Shandong Province. The spatial correlation by Moran's I and Local Moran's I showed that the spatial distribution of population density has spatial cluster trend.

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What this paper is about

By using traditional statistic quantile method, Geography Information system (GIS) analysis and spatial autocorrelation statistical techniques, this paper calculated the grid population density, detected the trend of population distribution, studied the spatial relationship and characteristics between prefectures through spatial autocorrelation statistical techniques. The conclusions are got from the analysis in this paper as following. The population distribution in Shandong Province can be divided into three spatial fan-shaped regions. There are no abnormal spatial areas of high density and low density in cities of Shandong Province. The spatial correlation by Moran's I and Local Moran's I showed that the spatial distribution of population density has spatial cluster trend.

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Available abstract

By using traditional statistic quantile method, Geography Information system (GIS) analysis and spatial autocorrelation statistical techniques, this paper calculated the grid population density, detected the trend of population distribution, studied the spatial relationship and characteristics between prefectures through spatial autocorrelation statistical techniques. The conclusions are got from the analysis in this paper as following. The population distribution in Shandong Province can be divided into three spatial fan-shaped regions. There are no abnormal spatial areas of high density and low density in cities of Shandong Province. The spatial correlation by Moran's I and Local Moran's I showed that the spatial distribution of population density has spatial cluster trend.

Key concepts: Spatial analysis, Spatial distribution, Statistic, Population, Spatial correlation, Geography, Cluster (spacecraft), Quantile

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