Skip to main content
U.S. flag

An official website of the United States government

Software

An official USGS software project is code reviewed and approved at the bureau-level for distribution.

Filter Total Items: 400

MapMark4 Shiny: A self-contained implementation of the MapMark4 R package

MapMark4 Shiny is a self-contained R Shiny app designed for quantitative mineral resource assessments. The target audience consists of practitioners of the three-part mineral resource assessment methodology (Singer and Menzie, 2010). The app performs calculations needed to combine information from grade-tonnage models with estimates of undiscovered deposits within permissive tracts.

MapMark4 Shiny: A self-contained implementation of the MapMark4 R package

MapMark4 Shiny is a self-contained R Shiny app designed for quantitative mineral resource assessments. The target audience consists of practitioners of the three-part mineral resource assessment methodology (Singer and Menzie, 2010). The app performs calculations needed to combine information from grade-tonnage models with estimates of undiscovered deposits within permissive tracts. The MapMark4 S

Swarm

Swarm is a Java application designed to display and analyze seismic waveforms in real-time. Swarm can connect to and read from a variety of different static and dynamics data sources, including Earthworm & Winston wave servers, SeedLink servers, FDSN Web Services, and wave files. Swarm has both time- and frequency-domain analysis tools, along with a mapping platform. A full-screen kiosk mode allow

GSFLOW: Coupled Groundwater and Surface-Water Flow Model

Groundwater and Surface-water FLOW (GSFLOW) was developed to simulate coupled groundwater and surface-water resources. The model is based on the integration of the U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) and the U.S. Geological Survey Modular Groundwater Flow Model (MODFLOW).

Seafloor Elevation Change Analysis Tool

The Seafloor Elevation Change Analysis Tool (SECAT) is a Python script intended to be run as a script tool by ArcMap or ArcGIS Pro that automates their intricate methodology.

Gravity Data Spreadsheets

These gravity data spreadsheets are Microsoft Excel documents containing functions that convert observed meter readings to gravity using the meter calibration table (for LaCoste & Romberg relative-gravity meters), applies a tide correction, calculates and plots drift using the Roman (1946) method, and calculates average gravity differences between each station pair.

Data and Software for Space matters: host spatial structure and model plague transmission dynamics and pathways

This software release contains the code descriped in Russell, R.E., Walsh, D.P., Samuel, M.D., Grunnill, M.D., and Rocke, T.E., 2021, Space matters: host spatial structure and the dynamics of plague transmission: Ecological Modelling,Volume 443, https://doi.org/10.1016/j.ecolmodel.2021.109450.

Precipitation Runoff Modeling System (PRMS)

The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical process based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology.

lsforce

lsforce is a Python-based single-force seismic inversion framework for massive landslides.

GSadjust

GSadjust is the first comprehensive, publicly-available graphical interface for performing drift-correction and network adjustment for combined relative- and absolute-gravity surveys (Kennedy and others, 2021). The objective of network adjustment is to determine a single, best-fit gravity value at each station based on all available observations and their respective uncertainty. Typically the obse

GSadjust: a graphical user interface for processing combined relative- and absolute-gravity surveys

GSadjust is a graphical user interface for processing relative-gravity surveys. It provides an interface for data selection, drift evaluation and correction, network adjustment, for data from modern relative (Scintrex, ZLS) and absolute (Micro-g LaCoste) gravity meters. 

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0

The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigat