Proceedings of the International Conference on Science Technology and Social Sciences – Social Science Track (ICONSTAS-SS 2023)

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Map Design Effectiveness of COVID-19 Disease Using ArcGIS Pro and Adobe Creative Cloud: An Exploratory Study from an Educational Perspective in Malaysia

Authors
Engku Muhammad Izhharuddin Engku Mohd Ridzuan1, Abdul Rauf Abdul Rasam1, 2, *
1School of Geomatics Science and Natural Resources, College of Built Environment, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
2Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: rauf@uitm.edu.my
Corresponding Author
Abdul Rauf Abdul Rasam
Available Online 2 October 2024.
DOI
10.2991/978-2-38476-293-4_16How to use a DOI?
Keywords
Cartography; COVID-19; Disease Mapping; GIS Cloud Software; Map Design Effectiveness
Abstract

Disease mapping is a visual representation of a disease’s geographical distribution within a population that is used to determine the origin of an outbreak. Designing an ideal disease map provides useful information to understand the current situation of COVID-19 and supports decision-making in Malaysia. The current map may fall short of meeting the necessary criteria for a cartographic map, and it primarily relies on commercial software. This study designed a cartographic disease map of COVID-19 in Selangor by exploring the latest 2.0 version of ArcGIS Pro and Adobe Creative Cloud. This exploratory study utilised the ESRI cloud platform to create a COVID-19 disease map that adhered to a good cartography map design and element as conducted at the university. This allowed the researchers to gain first-hand experience with the practical capabilities of both commercial and cloud platforms. Then, the map’s effectiveness was evaluated based on the user’s experience and expert opinion. The combination of ArcGIS Pro and Adobe Creative Cloud is effective for producing detailed and aesthetically pleasing maps. Cloud platforms offer cost-efficiency, accessibility, collaboration, scalability, and automatic updates for map design, enabling users to generate accurate maps of various data types, enhance visual appeal, and improve data communication for effective disease tracking of the COVID-19.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Science Technology and Social Sciences – Social Science Track (ICONSTAS-SS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 October 2024
ISBN
978-2-38476-293-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-293-4_16How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Engku Muhammad Izhharuddin Engku Mohd Ridzuan
AU  - Abdul Rauf Abdul Rasam
PY  - 2024
DA  - 2024/10/02
TI  - Map Design Effectiveness of COVID-19 Disease Using ArcGIS Pro and Adobe Creative Cloud: An Exploratory Study from an Educational Perspective in Malaysia
BT  - Proceedings of the International Conference on Science Technology and Social Sciences – Social Science Track (ICONSTAS-SS 2023)
PB  - Atlantis Press
SP  - 171
EP  - 181
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-293-4_16
DO  - 10.2991/978-2-38476-293-4_16
ID  - Ridzuan2024
ER  -