Paper
28 October 2011 GIS-based statistical analysis of population spatial distribution patterns, taking Gansu Province as an example
Pei-ji Shi, Bao Wang, Jian-fang Kang
Author Affiliations +
Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82051X (2011) https://doi.org/10.1117/12.905848
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China
Abstract
The existence of spatial dependence breaks the basic assumption that the samples are independent of each other in most of the classical methods of statistical analysis. Supported by GIS, we used the method of spatial autocorrelation analysis to make a preliminary analysis of the population spatial differences and distribution characteristics in various districts and counties in Gansu Province in 2006. The results showed that the population distribution in Gansu have positive spatial correlationship, and presented a significant spatial aggregating feature. But from local spatial autocorrelation analysis, we can see that the relevance of regional distribution of population in majority of Gansu is not significant, indicating that these regions within a certain range had not form regional growth poles with strong attraction. This conclusion can serve better for the formulation of population policies and sustainable development strategy of the economy and society.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pei-ji Shi, Bao Wang, and Jian-fang Kang "GIS-based statistical analysis of population spatial distribution patterns, taking Gansu Province as an example", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051X (28 October 2011); https://doi.org/10.1117/12.905848
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KEYWORDS
Statistical analysis

Geographic information systems

Analytical research

Data centers

Geography

Nanoimprint lithography

Shape analysis

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