Work

Developing an ecological visualization system for biodiversity data

Year: 2022

Type: article

Abstract: Data visualisation is essential for communicating and interpreting biodiversity data effectively. When compared to numerical values, visualising information with images is easier. Citizen Science has facilitated the collection of biodiversity data that can be used to conserve and preserve biodiversity sites. Google Earth provides a visualisation platform that can be used for biodiversity site monitoring. The latter has frequently been expressed in terms of biodiversity indices. The use of biodiversity indices for sites can be improved by incorporating visualisation elements. Previous studies that attempted to incorporate the calculation of biodiversity indices into biodiversity monitoring systems lacked the visualisation feature. This novel study aims to create an online module that combines biodiversity data from citizen science with a visualisation component. The observation data is imported from iNaturalist (https://www.inaturalist.org/) using the REST API method, which includes the species name and location. Species richness, Shannon-Wiener index, and Simpson index, as well as Hill Numbers, are automatically calculated and displayed on the Google Map alongside the green space area. The University of Malaya, which is located in an urban area, will be used as the study site for the demonstration of the developed prototype. The online biodiversity module prototype is available at http://www.umlivinglabsystem.com/Map/multipoly.

Source: All Life

DOI: 10.1080/26895293.2022.2066195

Authors: Hui Cham, Sorayya Malek, Pozi Milow, Cheen Song

Institution: University of Malaya

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Life on land, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,459