Abstract
Jellyfish blooming has occurred around the globe recently and started approaching the coastal region that actively operates with fishing sectors, seaside activities, and tourism. There was undoubtedly commotion, casualties, and even fatalities brought on by jellyfish blooms. Implicitly, the overlap of jellyfish and human populations has terribly impacted the area's socioeconomics. There have been no methods or devices utilized to predict jellyfish blooms based on environmental cues or to employ digital mapping to manage biological risks in the coastal area and ensure the safety of the nearby marine communities. The integration of the spatial and temporal change in jellyfish distribution and water physicochemical water parameters, mediated by Geographic Information System (GIS) technologies, is the basis of the realization and structure of the MEDUSA-LINK maps. The general public, local marine communities, authorities, policy-makers, and even tourists are the target group to ensure the benefits of the MEDUSA-LINK maps. Following the Sustainable Development Goals (SDG) set forth by the United Nations, SDG 14: "Life below water," SDG 3: Good health and well-being, and SDG 13: Climate action and Industrial Revolution 4.0, Big Data in fulfilling predictive demands and maintenance, MEDUSA-LINK maps were brought out to shine and offer a way out.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Hashim, Aimie Rifhan 2021403326@student.uitm.edu.my Kamaruddin, Sharir Aizat shariraizat@uitm.edu.my Umar, Mohd Syuib 2021217328@student.uitm.edu.my |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems Q Science > QH Natural history - Biology > Ecology > Sea. Marine ecology. Ocean ecology |
| Divisions: | Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management |
| Journal or Publication Title: | APS Proceedings |
| ISSN: | 003428568-X |
| Volume: | 1 |
| Number: | 1 |
| Page Range: | pp. 254-260 |
| Keywords: | Big data, Geographic information systems, Jellyfish blooms |
| Date: | 2022 |
| URI: | https://ir.uitm.edu.my/id/eprint/136311 |
