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Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization

Many works have been done on the topic of Geographic Visual Display with different objectives and approaches. There are studies to compare the traditional cartography techniques (the traditional term of Geographic Visual Display (GVD) without Human-Computer Interaction (HCI)) to Modern GIS which are...

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Main Authors: Lee, Lilian Yen Wei, Ag. Asri Ag. Ibrahim, Kashif Nisar, Zamhar Iswandono AwangIsmail, Ian Welch
Format: Article
Language:English
Published: 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:https://eprints.ums.edu.my/id/eprint/25598/1/Survey%20on%20geographic%20visual%20display%20techniques%20in%20epidemiology.pdf
https://eprints.ums.edu.my/id/eprint/25598/
https://doi.org/10.1016/j.jii.2020.100139
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spelling my.ums.eprints.255982021-04-08T14:18:51Z https://eprints.ums.edu.my/id/eprint/25598/ Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization Lee, Lilian Yen Wei Ag. Asri Ag. Ibrahim Kashif Nisar Zamhar Iswandono AwangIsmail Ian Welch TK Electrical engineering. Electronics Nuclear engineering Many works have been done on the topic of Geographic Visual Display with different objectives and approaches. There are studies to compare the traditional cartography techniques (the traditional term of Geographic Visual Display (GVD) without Human-Computer Interaction (HCI)) to Modern GIS which are also known as Geo-visualization, some literature differentiates and highlight the commonalities of features and architectures of different Geographic Visual Display tools (from layers and clusters to dot and color and more). Furthermore, with the existence of more advanced tools which support data exploration, few tasks are done to evaluate how those tools are used to handle complex and multivariate spatial-temporal data. Several test on usability and interactivity of tools toward user's needs or preferences, some even develop frameworks that address user's concern in a wide array of tasks, and others prove how these tools are able to stimulate the visual thought process and help in decision making or event prediction amongst decision-makers. This paper surveyed and categorized these research articles into 2 categories: Traditional Cartography (TC) and Geo-visualization (G). This paper will classify each category by their techniques and tasks that contribute to the significance of data representation in Geographic Visual Display and develop perspectives of each area and evaluating trends of Geographic Visual Display Techniques. Suggestions and ideas on what mechanisms can be used to improve and diversify Geographic Visual Display Techniques are provided at the end of this survey. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25598/1/Survey%20on%20geographic%20visual%20display%20techniques%20in%20epidemiology.pdf Lee, Lilian Yen Wei and Ag. Asri Ag. Ibrahim and Kashif Nisar and Zamhar Iswandono AwangIsmail and Ian Welch (2020) Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization. Journal of Industrial Information Integration, 18. https://doi.org/10.1016/j.jii.2020.100139
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lee, Lilian Yen Wei
Ag. Asri Ag. Ibrahim
Kashif Nisar
Zamhar Iswandono AwangIsmail
Ian Welch
Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
description Many works have been done on the topic of Geographic Visual Display with different objectives and approaches. There are studies to compare the traditional cartography techniques (the traditional term of Geographic Visual Display (GVD) without Human-Computer Interaction (HCI)) to Modern GIS which are also known as Geo-visualization, some literature differentiates and highlight the commonalities of features and architectures of different Geographic Visual Display tools (from layers and clusters to dot and color and more). Furthermore, with the existence of more advanced tools which support data exploration, few tasks are done to evaluate how those tools are used to handle complex and multivariate spatial-temporal data. Several test on usability and interactivity of tools toward user's needs or preferences, some even develop frameworks that address user's concern in a wide array of tasks, and others prove how these tools are able to stimulate the visual thought process and help in decision making or event prediction amongst decision-makers. This paper surveyed and categorized these research articles into 2 categories: Traditional Cartography (TC) and Geo-visualization (G). This paper will classify each category by their techniques and tasks that contribute to the significance of data representation in Geographic Visual Display and develop perspectives of each area and evaluating trends of Geographic Visual Display Techniques. Suggestions and ideas on what mechanisms can be used to improve and diversify Geographic Visual Display Techniques are provided at the end of this survey.
format Article
author Lee, Lilian Yen Wei
Ag. Asri Ag. Ibrahim
Kashif Nisar
Zamhar Iswandono AwangIsmail
Ian Welch
author_facet Lee, Lilian Yen Wei
Ag. Asri Ag. Ibrahim
Kashif Nisar
Zamhar Iswandono AwangIsmail
Ian Welch
author_sort Lee, Lilian Yen Wei
title Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
title_short Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
title_full Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
title_fullStr Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
title_full_unstemmed Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization
title_sort survey on geographic visual display techniques in epidemiology: taxonomy and characterization
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/25598/1/Survey%20on%20geographic%20visual%20display%20techniques%20in%20epidemiology.pdf
https://eprints.ums.edu.my/id/eprint/25598/
https://doi.org/10.1016/j.jii.2020.100139
_version_ 1760230388817461248
score 13.211869

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