Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55508
Title: Scale selecting of building information statistical grids with spatial autocorrelation
Authors: Chen, J
Ding, L
Shi, W 
Keywords: Geographic conditions
Scale selecting
Spatial autocorrelation
Statistical grids
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 8-10 July 2015, 7298029, p. 77-81 How to cite?
Abstract: The difference in statistical scales will bring different statistical results, so it is important and necessary to select statistical grids for the geographical conditions information statistics. This paper proposes a method of selecting statistical scale of geographical information with spatial autocorrelation being taken into account. By using geographic conditions census data and taking building information statistics as an example, this study gets building statistical information at different scales from 100m to 10000m, and meanwhile analyzes change trends of spatial autocorrelation of building information at different scales to make statistical scale selection. The results show that for building information statistics, 1000m is the turning point of statistical scales, and can be used as a suitable statistical scale in city region.
URI: http://hdl.handle.net/10397/55508
ISBN: 9781479977482
DOI: 10.1109/ICSDM.2015.7298029
Appears in Collections:Conference Paper

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