Data

Tools

Indexes

Applications

Experiments

Open Source Science

sci

https://github.com/limnotech/sci

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# SCI





The goal of SCI is to calculate scores for hydrology, water quality, human health, and aquatic biology metrics to assess streams within the District of Columbia.

## Installation

You can install the development version of SCI from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("LimnoTech/SCI")
```

## Using the Package

Produce the SCI scores in just a few simple steps:

1.  Complete the [pre-processing steps](https://limnotech.github.io/SCI/articles/pre-processing.html), as needed.

2.  In RStudio, open the [workflow.R](https://github.com/LimnoTech/SCI/blob/master/workflow.R) script.

3.  Update the "Input Variables" section of the script and confirm the latest data files are saved in the [data](https://github.com/LimnoTech/SCI/tree/master/data) folder.

4.  Update [lookup_tables.xlsx](https://github.com/LimnoTech/SCI/blob/master/data/lookup_tables.xlsx) and run code from the "Lookup Tables" section of the script, as needed. Note: this step is not typically necessary.

5.  Click the Source button to run the workflow.R script.

6. Complete the [post-processing steps](https://limnotech.github.io/SCI/articles/post-processing.html) to generate the SCI image files for each subwatershed

Owner

  • Name: LimnoTech
  • Login: LimnoTech
  • Kind: organization

Citation (CITATION.cff) 

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------

cff-version: 1.2.0
message: 'To cite package "SCI" in publications use:'
type: software
title: 'SCI: Stream Condition Index'
version: 0.0.0.9000
abstract: Calculates scores for hydrology, water quality, human health, and aquatic
  biology metrics to assess streams within the District of Columbia.
authors:
- family-names: Rucker
  given-names: Shanna
  email: srucker@limno.com
repository-code: https://github.com/LimnoTech/SCI
url: https://github.com/LimnoTech/SCI
contact:
- family-names: Rucker
  given-names: Shanna
  email: srucker@limno.com
references:
- type: software
  title: 'R: A Language and Environment for Statistical Computing'
  notes: Depends
  url: https://www.R-project.org/
  authors:
  - name: R Core Team
  institution:
    name: R Foundation for Statistical Computing
    address: Vienna, Austria
  year: '2024'
  version: '>= 2.10'
- type: software
  title: dplyr
  abstract: 'dplyr: A Grammar of Data Manipulation'
  notes: Imports
  url: https://dplyr.tidyverse.org
  repository: https://CRAN.R-project.org/package=dplyr
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: François
    given-names: Romain
    orcid: https://orcid.org/0000-0002-2444-4226
  - family-names: Henry
    given-names: Lionel
  - family-names: Müller
    given-names: Kirill
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
    orcid: https://orcid.org/0000-0003-4777-038X
  year: '2024'
  doi: 10.32614/CRAN.package.dplyr
- type: software
  title: tidyr
  abstract: 'tidyr: Tidy Messy Data'
  notes: Imports
  url: https://tidyr.tidyverse.org
  repository: https://CRAN.R-project.org/package=tidyr
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
  - family-names: Girlich
    given-names: Maximilian
  year: '2024'
  doi: 10.32614/CRAN.package.tidyr

GitHub Events

Total
  • Member event: 2
  • Push event: 29
  • Public event: 1
  • Create event: 2
Last Year
  • Member event: 2
  • Push event: 29
  • Public event: 1
  • Create event: 2

Dependencies

.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • R >= 2.10 depends
  • dplyr * imports
  • magrittr * imports
  • tidyr * imports
  • knitr * suggests
  • readxl * suggests
  • rmarkdown * suggests