Currently serving26320packages,22491articles, and64231datasets by1263organizations,13666 maintainers and22072 contributors.
Not sure what to search for? Why not try:maps, bayesian, ecology, climate, genome, gam, spatial, database, pdf, shiny, rstudio, machine learning, prediction, birds, fish, sports, ... (more popular topics)
Want to learn more about r-universe? Have a look atropensci.org/r-universeor updates from the rOpenSci blog:
- Better documentation for R-universe!February 28, 2025
- R-Universe Named an R Consortium Top-Level ProjectDecember 3, 2024
- Capturing Screenshots Programmatically With RSeptember 10, 2024
- Navigating the R ecosystem using R-universeSeptember 24, 2024
- A fresh new look for R-universe!June 12, 2024
- R-Universe Documentation Gets a Boost from Google Season of DocsApril 12, 2024
- R-universe now builds MacOS ARM64 binaries for use on Apple Silicon (aka M1/M2/M3) systemsJanuary 14, 2024
- R-universe now builds WASM binaries for all R packagesNovember 17, 2023
- The rOpenSci MultiverseNovember 6, 2023
- CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-UniverseSeptember 19, 2023
- Meeting the Stars of the R-Universe: The R-Universe Against Diseases.September 15, 2023
- My Life with the R-universeAugust 1, 2023
- New cran.dev shortlinks to package information and documentationJuly 26, 2023
- Meeting the Stars of the R-Universe: PEcAn, an Open Source Project to Take Care of the PlanetJune 6, 2023
- Downloading snapshots and creating stable R packages repositories using r-universeMay 31, 2023
- How r-universe searches for packages on CRAN / BioconductorApril 3, 2023
- Meeting the Stars of the R-Universe: Researching Our Brain with the Magic of the R-UniverseMarch 30, 2023
- Meeting the Stars of the R-universe: ThinkR's Approach to Contributing to a Growing and Friendly R CommunityFebruary 28, 2023
- Discovering and learning everything there is to know about R packages using r-universeFebruary 27, 2023
- New preferred repo name for r-universe registriesFebruary 7, 2023
- Improved permanent URL schema for r-universe.devJanuary 30, 2023
- postdoc 1.0: minimal and uncluttered HTML package manualsNovember 29, 2022
- Meeting the stars of the R-universe: R Community, Exchange and LearnNovember 23, 2022
- Searching and browsing the R universeMarch 23, 2022
- A Blend of Package Build FailuresJanuary 31, 2022
- How renv restores packages from r-universe for reproducibility or productionJanuary 6, 2022
- RSS feeds of package updates in r-universeNovember 24, 2021
- How I Test cffr on (about) 2,000 Packages using GitHub Actions and R-universeNovember 23, 2021
- Generating and customizing badges in r-universeOctober 14, 2021
- rOpenSci docs are now built on r-universeSeptember 3, 2021
- How to create your personal CRAN-like repository on R-universeJune 22, 2021
- Publishing and browsing articles on R-universeApril 9, 2021
- rOpenSci's R-universe ProjectMay 25, 2021
- A first look at the R-universe build infrastructureMarch 4, 2021
- Moving away from Travis CINovember 19, 2020
- How to precompute package vignettes or pkgdown articlesDecember 8, 2019
Showing 1 of total 1 results (show query)
rajohansen
waterquality:Satellite Derived Water Quality Detection Algorithms
The main purpose of waterquality is to quickly and easily convert satellite-based reflectance imagery into one or many well-known water quality algorithms designed for the detection of harmful algal blooms or the following pigment proxies: chlorophyll-a, blue-green algae (phycocyanin), and turbidity. Johansen et al. (2019) <doi:10.21079/11681/35053>.
Maintained by Richard Johansen. Last updated 12 months ago.
algal-bloomalgorithmslandsat-8merismodisolciremote-sensingsentinel-2water-quality
11.0 match 43 stars 5.96 score 21 scripts