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USGS-R's Projects

gcclust icon gcclust

Package for statistical clustering of regional geochemical data, and similar data such as regional mineralogical data

gdopp icon gdopp

A set of tools to process Acoustic Doppler Velocimeter data into estimates of the gas transfer velocity (k).

geolakes icon geolakes

Collection of scripts used for figures or calculations in the geolakes publication.

grantools icon grantools

Tools for the Geological survey R Archive Network

gsplot icon gsplot

plotting foundation for timeseries reporting

hazarditems icon hazarditems

Services for creating coastal change hazards items for the USGS Coastal Change Hazards Portal

hydromap icon hydromap

See instead: https://code.usgs.gov/water/nhdplusTools

hyperusgs icon hyperusgs

Creating some R hype by showing off advanced techniques applied to USGS science.

ie2misc icon ie2misc

A collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.

inlmisc icon inlmisc

Miscellaneous Functions for the USGS INL Project Office

inlpubs icon inlpubs

See official repository at: https://code.usgs.gov/inl/inlpubs

landsat-lake-temp-pull icon landsat-lake-temp-pull

This repository extracts historical remotely sensed lake surface temperature from the Landsat 8 provisional surface temperature product on Google Earth Engine.

mapmark4 icon mapmark4

Moved to: https://code.usgs.gov/water/analysis-tools/MapMark4

mmsdvirusp5 icon mmsdvirusp5

Moved to: https://code.usgs.gov/aquatics-contaminants/MMSDVirusP5

modelarchive icon modelarchive

Package to aid in preparing and reviewing model archives for USGS R models.

municipal-water-loss-ml icon municipal-water-loss-ml

Code repo for analysis of national municipal water loss data and development of ml models to predict water loss

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