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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #366603
Research Project: Science and Technologies for the Sustainable Management of Western Rangeland Systems

Location: Range Management Research

Title: The DASH portal: Supporting geoHealth research by automating geospatial data tasks

Author
item Savoy, Heather
item Peters, Debra
item BURRUSS, DYLAN - New Mexico State University
item RAMIREZ, GEOVANY - New Mexico State University
item Rodriguez, Luis
item PELZEL-MCCLUSKEY, ANGELA - New Mexico State University
item McVey, David

Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: 10/2/2019
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: The spatiotemporal dynamics of vector-borne viral disease spread are inherently tied to the distribution of climate and other environmental conditions hospitable for the vectors, virus, and hosts. Therefore, to model the spread of such diseases, these GeoHealth indicator variables need to be in the form of readily available and usable geospatial data. In the case of continental-scale spread and multiple data sources for GeoHealth indicators, the issues of handling heterogeneous big data become burdensome. To help alleviate this burden, the Data Access and Spatiotemporal Harmonization (DASH) Portal has been developed as an interactive web-interface. The DASH Portal was designed around the data needs of modeling the occurrence and spread of Vesicular Stomatitis (VS), a vector-borne livestock disease, in the western US at different spatial and temporal scales. However, its general data repository of climate, vegetation, landcover/landuse, soils, and hydrology data across the US and generic functionality makes it equally useful for providing data for other GeoHealth modeling needs. The DASH Portal has modules for selecting data from various datasets at different spatial and temporal scales, automating harmonization tasks to make data from different sources consistent, visualizing geospatial data through time, and downloading fully-harmonized data packages for further analysis. This poster will describe the data available through the DASH Portal, the functionality it provides, and the GeoHealth modeling that it has facilitated. Additionally, the poster will describe the expansion of the DASH Portal that will support communication with Artificial Intelligence-based recommendation systems that inform current users on past user choices, e.g. which climate variables that have been used for vector-borne disease modeling.