Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 658
Nest Survival Bias Analysis
This R script will run one replicate of one scenario used by Weiser (in review) to quantify biases in estimates of nest survival when nests are not found at the beginning of the nesting interval (age 0). The script simulates nest monitoring histories based on input parameters, applies models with or without an age effect to estimate daily survival rates, and calculates nest survival (to the end of
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
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.
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
Source code in R for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas associated with U.S. Geological Survey Scientific Investigations Rep
This repository contains R language source code used for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas. This code is in support of the following study: Asquith, W.H., Gordon, J.D., and Wallace, D.S., 2020, Regional regression equations for estimation of four hydraulic properties