3D geomarketing segmentation: A higher spatial dimension planning perspective

A. Suhaibah, U. Uznir, A. A. Rahman, Francesc/François Antón Castro, Darka Mioc

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Abstract

Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Geomatic and Geospatial Technology (GGT)
Number of pages7
Volume42
PublisherCopernicus GmbH
Publication date2016
DOIs
Publication statusPublished - 2016
EventInternational Conference on Geomatic and Geospatial Technology (GGT) 2016 - Kuala Lumpur, Malaysia
Duration: 3 Oct 20165 Oct 2016

Conference

ConferenceInternational Conference on Geomatic and Geospatial Technology (GGT) 2016
CountryMalaysia
CityKuala Lumpur
Period03/10/201605/10/2016
SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeXLII-4/W1
ISSN1682-1750

Bibliographical note

Since Volume XXXII-3/W14, 1999, the Archives are open access publications, they are published under the Creative Common Attribution 3.0 License, see publications.copernicus.org/for_authors/license_and_copyright.html for details.

Keywords

  • 3D Spatial Database
  • Geo-Clustering
  • Geomarketing
  • Information Retrieval
  • Market Segmentation
  • 3D GIS

Cite this

Suhaibah, A., Uznir, U., Rahman, A. A., Antón Castro, FF., & Mioc, D. (2016). 3D geomarketing segmentation: A higher spatial dimension planning perspective. In Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT) (Vol. 42). Copernicus GmbH. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.. XLII-4/W1 https://doi.org/10.5194/isprs-archives-XLII-4-W1-1-2016
Suhaibah, A. ; Uznir, U. ; Rahman, A. A. ; Antón Castro, Francesc/François ; Mioc, Darka. / 3D geomarketing segmentation: A higher spatial dimension planning perspective. Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT). Vol. 42 Copernicus GmbH, 2016. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-4/W1).
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abstract = "Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure.",
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Suhaibah, A, Uznir, U, Rahman, AA, Antón Castro, FF & Mioc, D 2016, 3D geomarketing segmentation: A higher spatial dimension planning perspective. in Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT). vol. 42, Copernicus GmbH, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-4/W1, International Conference on Geomatic and Geospatial Technology (GGT) 2016, Kuala Lumpur, Malaysia, 03/10/2016. https://doi.org/10.5194/isprs-archives-XLII-4-W1-1-2016

3D geomarketing segmentation: A higher spatial dimension planning perspective. / Suhaibah, A.; Uznir, U.; Rahman, A. A.; Antón Castro, Francesc/François; Mioc, Darka.

Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT). Vol. 42 Copernicus GmbH, 2016. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-4/W1).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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N2 - Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure.

AB - Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure.

KW - 3D Spatial Database

KW - Geo-Clustering

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KW - Information Retrieval

KW - Market Segmentation

KW - 3D GIS

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DO - 10.5194/isprs-archives-XLII-4-W1-1-2016

M3 - Article in proceedings

VL - 42

BT - Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT)

PB - Copernicus GmbH

ER -

Suhaibah A, Uznir U, Rahman AA, Antón Castro FF, Mioc D. 3D geomarketing segmentation: A higher spatial dimension planning perspective. In Proceedings of the International Conference on Geomatic and Geospatial Technology (GGT). Vol. 42. Copernicus GmbH. 2016. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-4/W1). https://doi.org/10.5194/isprs-archives-XLII-4-W1-1-2016