Research on Spatial Autocorrelation of the Population in Shandong Province

DOI

10.2991/wartia-16.2016.269How to use a DOI?

Keywords

Spatial Autocorrelation, Moran I Statistics, Visualization technique

Abstract

Spatial autocorrelation is one of the most important characteristics of spatial data. Based on the fifth and sixth census data, we focus on in this paper studying the spatial autocorrelation of the population in Shandong province. Specifically, the global Moran I statistic is first used to quantify the spatial clustering of the population in the whole province both in 2000 and 2010 years, respectively. Then, the local Moran I statistic is employed to assess the spatial autocorrelation degree between one city and others. Finally, related results are visualized by applying the visualization technique of the Surfer software.

Copyright

© 2016, 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  - Silian Shen
AU  - Xinqian Wu
AU  - Chunwei Wang
PY  - 2016/05
DA  - 2016/05
TI  - Research on Spatial Autocorrelation of the Population in Shandong Province
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1282
EP  - 1285
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.269
DO  - 10.2991/wartia-16.2016.269
ID  - Shen2016/05
ER  -