WEB VISUALIZATION AND SPATIAL ANALYSIS OF TREE SPECIES DISTRIBUTION AT UNIVERSITY OF THE PHILIPPINES DILIMAN ACADEMIC OVAL

Abstract

Abstract. Understanding the distribution of tree species is crucial for ecological comprehension and effective conservation strategies. This research presents a web-based platform aimed at visually representing the trees found at the University of the Philippines Diliman campus. Open-source geospatial tools such as OpenStreetMap, KoboToolbox, Pl@ntNet, JOSM, uMap, and QGIS were employed for data visualization, collection, analysis, validation, and spatial pattern assessment. Through these tools, a total of 11 tree species were identified, with acacia emerging as the dominant species, especially concentrated along the academic oval. The application of Kernel Density Estimation (HeatMap) in QGIS revealed these spatial distribution patterns. The findings contribute to the effective management, conservation, and restoration of the campus' green spaces, shedding light on the significance of trees in urban ecosystems. The online interactive map developed serves as a valuable tool for improving management and conservation strategies. Importantly, the study assesses the effectiveness of open-source tools, showcasing their versatility and comparable capabilities to proprietary alternatives in geospatial applications.