Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 918
Aquaculture and Irrigation Water Use Model 2.0 Software Aquaculture and Irrigation Water Use Model 2.0 Software
The Mississippi Alluvial Plain (MAP) is one of the most productive agricultural regions in the US and extracts more than 11 km3/year for irrigation activities. The heavy drivers of groundwater use are aquaculture and crops, which include rice, cotton, corn, and soybeans (Wilson, 2021). Consequently, groundwater-level declines in the MAP region (Clark and others, 2011) pose a substantial...
inldata---Collection of datasets for the U.S. Geological Survey-Idaho National Laboratory Aquifer Monitoring Networks, v1.1 inldata---Collection of datasets for the U.S. Geological Survey-Idaho National Laboratory Aquifer Monitoring Networks, v1.1
The inldata package is a collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas...
Listing Analyst 1.3 Listing Analyst 1.3
Listing Analyst has been modified to work with the Groundwater Transport process in MODFLOW 6.
ListingAnalyst ListingAnalyst
ListingAnalyst is a program for viewing the main output file from MODFLOW-2005, MODFLOW-NWT, MODFLOW-LGR, MODFLOW-CFP, MODFLOW-OWHM, and MODFLOW 6.
Eelgrass Biomass Model Eelgrass Biomass Model
This code release contains R and JAGS code for estimating average eelgrass biomass at two lagoons (Izembek and Kinzarof) within the Izembek National Wildlife Refuge, Alaska, using data from point count surveys conducted by National Wildlife Refuge and U.S. Geological Survey (USGS) personnel. Biomass is estimated using a gamma hurdle model which models the probability of occurrence and...
Thinned Point Process Models for Telemetry Data Thinned Point Process Models for Telemetry Data
This project aimed to develop methods to estimate spatially explicit survival of wildlife from telemetry data.