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."
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."
Citation Information
| 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 Asset Identifier Service (AIS) |
| USGS Organization | Cooperative Research Units Program |