Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
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Code for freshwater fish and mussel biodiversity and distribution in the Northeastern United States under climate change and management scenarios Code for freshwater fish and mussel biodiversity and distribution in the Northeastern United States under climate change and management scenarios
This software contains five R Markdown files and two R script files that comprise an analysis to 1. develop freshwater fish and mussel models using survey occurrence data, land use data, stream flow data, and stream temperature data within the Northeast United states, 2. predict the impacts of climate change on vulnerable groups of freshwater fish and mussel species, and 3. asses the...
Code for automating document downloads from the Bureau of Land Management's National NEPA Register to facilitate content analysis Code for automating document downloads from the Bureau of Land Management's National NEPA Register to facilitate content analysis
This code automates the extraction of publicly available PDF documents from the Bureau of Land Management's National NEPA Register website based on a list of NEPA project numbers provided in a CSV file. It is designed to support scientific analysis of environmental planning documents. It was developed for internal and partner use to simplify large-scale text analysis efforts.
DSWE_GEE v2.1.0 DSWE_GEE v2.1.0
Code for implementation of the Dynamic Surface Water Extent (DSWE) algorithm in Google Earth Engine. Multiple scripts allow for the generation of single-scene or composited (monthly) DSWE images from Landsat and MODIS imagery. All code is written for use in the Google Earth Engine JavaScript API.
mmlCHICOTla, Source code for construction and implementation of multiple machine-learning models of water levels in the Chicot aquifer system, southwestern Louisiana mmlCHICOTla, Source code for construction and implementation of multiple machine-learning models of water levels in the Chicot aquifer system, southwestern Louisiana
The mmlCHICOTla repository contains R, Mermaid, and Perl language source code that can be used for construction multiple methods of machine learning (MML) of water levels in the Chicot aquifer system, southwestern Louisiana. The source code is written in R (primary and extensive), Mermaid (workflow diagrams), and Perl (minor utility for simple implementation of parallel processing on...
covCHICOTla, Source code for construction of covariates bound to monthly groundwater levels for statistical modeling of water levels in the Chicot aquifer system, southwestern Louisiana covCHICOTla, Source code for construction of covariates bound to monthly groundwater levels for statistical modeling of water levels in the Chicot aquifer system, southwestern Louisiana
The covCHICOTla repository contains primarily R and limited Mermaid, Perl, and Python language source code that collectively can be used for the construction of many tables of monthly groundwater levels (response variable) and predictor variables (covariates) intended to be inputs to statistical modeling of water levels in the Chicot aquifer system, southwestern Louisiana. The source...
Research software technical note and source code for creation of statistical models for prediction of typical well depths and related spatial diagnostics for the Chicot aquifer system, southwestern Louisiana Research software technical note and source code for creation of statistical models for prediction of typical well depths and related spatial diagnostics for the Chicot aquifer system, southwestern Louisiana
This "software technical note" (`TECHNOTE.md`) provides extensive details involving the construction of typical well-depth grids from research-grade statistical study of the Chicot aquifer system. The README also within this directory is designed and intended to parallel the documentation of individual covariate construction as part of the primal feature of the **covCHICOTla** software...