Document Type
Paper Presentation
Start Date
6-10-2023 1:30 PM
End Date
6-10-2023 2:30 PM
Abstract
This paper describes CyberGIS-based research and development aimed at improving geospatial data integration and visual analytics to better understand the impact of regional climate change on water availability in the U.S. Rocky Mountains. Two Web computing applications are presented. DEVISE - Derived Environmental Variability Indices Spatial Extractor, streamlines utilization of environmental data for better-informed wildlife decisions by biologists and game managers. The WY-Adapt platform aims to enhance predictive understanding of climate change impacts on water availability through two modules: “Current Conditions” and “Future Scenarios”. It integrates high-resolution models of the biophysical environment and human interactions, providing a robust framework for professionals and the public to visualize and explore climate data through a user-friendly map-based interface. Both tools represent significant strides in bridging the gap between CI-enabled science and on-the-ground application, especially in the context of regional climate change, by streamlining both data integration methods and customized spatial queries.
DOI
10.5703/1288284317676
Geospatial Data Integration Middleware for Exploratory Analytics Addressing Regional Natural Resource Grand Challenges in the US Mountain West
This paper describes CyberGIS-based research and development aimed at improving geospatial data integration and visual analytics to better understand the impact of regional climate change on water availability in the U.S. Rocky Mountains. Two Web computing applications are presented. DEVISE - Derived Environmental Variability Indices Spatial Extractor, streamlines utilization of environmental data for better-informed wildlife decisions by biologists and game managers. The WY-Adapt platform aims to enhance predictive understanding of climate change impacts on water availability through two modules: “Current Conditions” and “Future Scenarios”. It integrates high-resolution models of the biophysical environment and human interactions, providing a robust framework for professionals and the public to visualize and explore climate data through a user-friendly map-based interface. Both tools represent significant strides in bridging the gap between CI-enabled science and on-the-ground application, especially in the context of regional climate change, by streamlining both data integration methods and customized spatial queries.