Scalable multi-resolution spatial visualization for anthropogenic li.er data

Abstract

This paper demonstrates CleanUpOurWorld; a research spatial database that is designed and deployed to collect, process, query, and visualize anthropogenic litter data. Such data has a signifficant importance in the field of environmental sciences due to its important use cases. We make a major on-going effort to collect and maintain such data worldwide from different sources through a community of environmental scientists and partner organizations. With the increasing volume of data, existing software packages, such as GIS software, do not scale to process, query, and visualize such data. To overcome this, CleanUpOurWorld digests datasets from different sources, with different formats, in a scalable backend that cleans, integrates, and uni.es them in a structured form in a relational spatial database. Frontend applications are built to visualize litter data at multiple spatial resolutions.