Spatial Statistical Analysis on Geographical agglomeration of planting Industry in Sichuan Province

DOI

10.2991/essaeme-18.2018.16How to use a DOI?

Keywords

Sichuan Province, Planting Industry, Geographical Agglomeration, Spatial Autocorrelation Analysis

Abstract

Based on the data of planting area from 2000 to 2016 in Sichuan Province, spatial dependence and heterogeneity of planting industry in Sichuan Province were investigated by using spatial Gini coefficient method, global spatial autocorrelation analysis and local spatial autocorrelation analysis. Furthermore, the distribution pattern and spational temporal evolution of geographical agglomeration characteristics of planting industry are further studied. It is found that there is no obvious geographical agglomeration in grain crops, but the economic crops have strong characteristics of geographic agglomeration and typical positive spatial autocorrelation. There are significant characteristics of high - high cluster, low-low cluster and high-low cluster in local areas. The spatial distribution pattern of Sichuan province shows a spatial distribution pattern of "west low East High", and the cluster state of crops is distinct.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shouying Ying
AU  - Qiaoxi Fan
PY  - 2018/07
DA  - 2018/07
TI  - Spatial Statistical Analysis on Geographical agglomeration of planting Industry in Sichuan Province
BT  - Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018)
PB  - Atlantis Press
SP  - 80
EP  - 86
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-18.2018.16
DO  - 10.2991/essaeme-18.2018.16
ID  - Ying2018/07
ER  -