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Authors: Rafael Mariano Christófano ; Wilson Estécio Marcílio Júnior and Danilo Medeiros Eler

Affiliation: São Paulo State University (UNESP), Presidente Prudente/São Paulo, Brazil

Keyword(s): Area Profiling, Smart Cities, Smart Mobility, POIs, Clustering, Visualization, Google Maps.

Abstract: Understanding how commercial and social activities and points of interest are located in a city is essential to plan efficient cities in smart mobility. Over the years, the growth of data sources from distinct online social networks has enabled new perspectives to applications that provide mechanisms to aid in comprehension of how people displaces between different regions within a city. To support enterprises and governments better understand and compare distinct regions of a city, this work proposes a web application called PlaceProfile to perform visual profiling of city areas based on iconographic visualization and to label areas based on clustering algorithms. The visualization results are overlayered on Google Maps to enrich the map layout and aid analyst in understanding region profiling at a glance. Besides, PlaceProfile coordinates a radar chart with areas selected by the user to enable detailed inspection of the frequency of categories of points of interest (POIs). This lin ked views approach also supports clustering algorithms’ explainability by providing inspections of the attributes used to compute similarities. We employed the proposed approach in a case study in the São Paulo city, Brazil. (More)

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Paper citation in several formats:
Christófano, R.; Marcílio Júnior, W. and Eler, D. (2021). PlaceProfile: Employing Visual and Cluster Analysis to Profile Regions based on Points of Interest. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 506-514. DOI: 10.5220/0010453405060514

@conference{iceis21,
author={Rafael Mariano Christófano. and Wilson Estécio {Marcílio Júnior}. and Danilo Medeiros Eler.},
title={PlaceProfile: Employing Visual and Cluster Analysis to Profile Regions based on Points of Interest},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={506-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010453405060514},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - PlaceProfile: Employing Visual and Cluster Analysis to Profile Regions based on Points of Interest
SN - 978-989-758-509-8
IS - 2184-4992
AU - Christófano, R.
AU - Marcílio Júnior, W.
AU - Eler, D.
PY - 2021
SP - 506
EP - 514
DO - 10.5220/0010453405060514
PB - SciTePress

- Science and Technology Publications, Lda.
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