Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
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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.
Scripts to Analyze Altitude Selection in Migrating Pacific Flyway Geese Scripts to Analyze Altitude Selection in Migrating Pacific Flyway Geese
This code repo contains three scripts used in the associated manuscript to run the analyses (01_model_prob_flight.r; 02_model_altitude_selection.r) and the simulation used to make predictions (03_simulate_prob_fly_per_altitude.r). The analysis serves to evaluate conditions that affect 1) whether geese are in flight vs. resting on the water, 2) what altitude is selected by flying geese...
Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU) Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU)
BMRGSU is software developed by the U.S. Geological Survey for Bayesian mapping of regionally-grouped, sparse, univariate, Earth-science data. This software implements an algorithm that smooths the estimated property across regions so that the deleterious effects of sparse data are mitigated. The algorithm can account for measurements that are censored, it can process multiple datasets...