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Workflow to acquire and process large spatial data and build complex models

March 21, 2023

This software involves R scripts to download and process large-scale spatial data defined by an extent input by the user. The code then resamples data to the desired resolution, downloads metadata from a public website on West Nile virus prevalence in mosquito pools, then extracts spatial layer data as covariates for each record.
Also, this software involves R script to fit models of abundance of mosquito vectors (' Script_for_ECS22-0193_9_13_2215.R') to landscape and environmental covariates using INLA and SPDE. The dataset used for this analysis were originally provided by the Pennsylvania Department of Environmental Protection (DEP) with a confidentiality agreement. The majority of the data used in this study, however, have since been posted online by the DEP and are available at https://gis.dep.pa.gov/WNV/index.html. To download the data, click on the link, "Mosquito Testing Data."

Publication Year 2023
Title Workflow to acquire and process large spatial data and build complex models
DOI 10.5066/P9ONHXN3
Authors William D Walter, Kristin J. Bondo, DIego Montecino-Latorre
Product Type Software Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Cooperative Research Units Program