Scale selecting of building information statistical grids with spatial autocorrelation

Jiangping Chen; Lin Ding; Wen Zhong Shi

doi:10.1109/ICSDM.2015.7298029

Scale selecting of building information statistical grids with spatial autocorrelation

Jiangping Chen, Lin Ding, Wen Zhong Shi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services
Publisher	IEEE
Pages	77-81
Number of pages	5
ISBN (Electronic)	9781479977482
DOIs	https://doi.org/10.1109/ICSDM.2015.7298029
Publication status	Published - 13 Oct 2015
Event	2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015 - Fuzhou, China Duration: 8 Jul 2015 → 10 Jul 2015

Conference

Conference	2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015
Country/Territory	China
City	Fuzhou
Period	8/07/15 → 10/07/15

Keywords

Geographic conditions
Scale selecting
Spatial autocorrelation
Statistical grids

ASJC Scopus subject areas

Software
Computer Science Applications

More information

10.1109/ICSDM.2015.7298029

Cite this

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title = "Scale selecting of building information statistical grids with spatial autocorrelation",

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.",

keywords = "Geographic conditions, Scale selecting, Spatial autocorrelation, Statistical grids",

author = "Jiangping Chen and Lin Ding and Shi, {Wen Zhong}",

year = "2015",

month = oct,

day = "13",

doi = "10.1109/ICSDM.2015.7298029",

language = "English",

pages = "77--81",

booktitle = "ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services",

publisher = "IEEE",

address = "United States",

note = "2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015 ; Conference date: 08-07-2015 Through 10-07-2015",

}

Chen, J, Ding, L & Shi, WZ 2015, Scale selecting of building information statistical grids with spatial autocorrelation. in ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services., 7298029, IEEE, pp. 77-81, 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015, Fuzhou, China, 8/07/15. https://doi.org/10.1109/ICSDM.2015.7298029

Scale selecting of building information statistical grids with spatial autocorrelation. / Chen, Jiangping; Ding, Lin; Shi, Wen Zhong.
ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. IEEE, 2015. p. 77-81 7298029.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Scale selecting of building information statistical grids with spatial autocorrelation

AU - Chen, Jiangping

AU - Ding, Lin

AU - Shi, Wen Zhong

PY - 2015/10/13

Y1 - 2015/10/13

N2 - 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.

AB - 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.

KW - Geographic conditions

KW - Scale selecting

KW - Spatial autocorrelation

KW - Statistical grids

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BT - ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services

PB - IEEE

T2 - 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015

Y2 - 8 July 2015 through 10 July 2015

ER -

Scale selecting of building information statistical grids with spatial autocorrelation

Abstract

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Keywords

ASJC Scopus subject areas

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