Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area

Roberto Henriques; Fernando Bacao; Victor Lobo

doi:10.1109/GEOProcessing.2010.30

Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area

Roberto Henriques, Fernando Bacao, Victor Lobo

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.

Original language	English
Title of host publication	2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010
Publisher	IEEE Computer Society
Pages	148-152
Number of pages	5
ISBN (Print)	9780769539515
DOIs	https://doi.org/10.1109/GEOProcessing.2010.30
Publication status	Published - 1 Jan 2010
Event	2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 - St. Maarten Duration: 10 Feb 2010 → 16 Feb 2010

Conference

Conference	2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010
City	St. Maarten
Period	10/02/10 → 16/02/10

Keywords

Exploratory data analysis
GeoSOM
Spatial clustering

Access to Document

10.1109/GEOProcessing.2010.30

Cite this

@inproceedings{a0ede44de7d844bd8fe89ef049c9845f,

title = "Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area",

abstract = "Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.",

keywords = "Exploratory data analysis, GeoSOM, Spatial clustering",

author = "Roberto Henriques and Fernando Bacao and Victor Lobo",

year = "2010",

month = jan,

day = "1",

doi = "10.1109/GEOProcessing.2010.30",

language = "English",

isbn = "9780769539515",

pages = "148--152",

booktitle = "2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010",

publisher = "IEEE Computer Society",

address = "United States",

note = "2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 ; Conference date: 10-02-2010 Through 16-02-2010",

}

Henriques, R , Bacao, F & Lobo, V 2010, Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area. in 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010., 5437658, IEEE Computer Society, pp. 148-152, 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010, St. Maarten, 10/02/10. https://doi.org/10.1109/GEOProcessing.2010.30

Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area. / Henriques, Roberto ; Bacao, Fernando ; Lobo, Victor.
2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010. IEEE Computer Society, 2010. p. 148-152 5437658.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spatial clustering with SOM and GeoSOM

T2 - 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010

AU - Henriques, Roberto

AU - Bacao, Fernando

AU - Lobo, Victor

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.

AB - Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.

KW - Exploratory data analysis

KW - GeoSOM

KW - Spatial clustering

UR - http://www.scopus.com/inward/record.url?scp=77952406141&partnerID=8YFLogxK

U2 - 10.1109/GEOProcessing.2010.30

DO - 10.1109/GEOProcessing.2010.30

M3 - Conference contribution

AN - SCOPUS:77952406141

SN - 9780769539515

SP - 148

EP - 152

BT - 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010

PB - IEEE Computer Society

Y2 - 10 February 2010 through 16 February 2010

ER -

Spatial clustering with SOM and GeoSOM: Case study of Lisbon's metropolitan area

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this