https://github.com/cdcgov/starc

This project provides a tool for creating a global grid-based urban-rural classification to help estimate dog populations in support of mass vaccination campaign microplanning.

https://github.com/cdcgov/starc

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This project provides a tool for creating a global grid-based urban-rural classification to help estimate dog populations in support of mass vaccination campaign microplanning.

Basic Info
  • Host: GitHub
  • Owner: CDCgov
  • License: apache-2.0
  • Language: R
  • Default Branch: main
  • Size: 13 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

Overview

This repository contains code required to produce Settlement Type and Road Connectivity (STARC) codes, estimate canine populations, and identify hotspots of free-roaming dog populations. Methods and examples of its application are outlined in Corbett et al. 2024 .

The main functionality of this code is established, but supporting documentation is still under development. Novel uses of the STARC methodology, including identifying expected transmission zones for canine rabies, are still in development. Additional documentation and clarity regarding these new applications are forthcoming.

Running the code

Currently there are two ways to interact with this code:

  1. Run the app.R file to run a local R Shiny application. This application will allow users to select parameters and then run individual sections of the STARC Toolkit

  2. Individually run the Rmd files within the R folder. The user will have to manually specify parameters at the top of each file. A letter prefix for each Rmd file notates the order the files should be run in (for example "ASetupInputFiles.Rmd" precedes "BCreateSTARCMapSHP.Rmd")

The Rmd files are organized such that they can be run from the interactive functions within the R shiny app, or individually run within Rstudio.

Data sources referenced

The project uses several publicly-available data sources

geoBoundaries

National and subnational borders

www.geoboundaries.org

OpenStreetMap (OSM)

Open source mapping including street network data. Data accessed at: geofabrik

more information here: OpenStreetMap

Uber's hexagonal hierarchical geospatial indexing system (H3)

Scalable hexagon based global grid system.

more information here: Uber H3

Meta's High Resolution Settlement Layer (HRSL)

High spatial resolution human population density data

more information here: HRSL

General disclaimer

This repository was created for use by CDC programs to collaborate on public health related projects in support of the CDC mission. GitHub is not hosted by the CDC, but is a third party website used by CDC and its partners to share information and collaborate on software. CDC use of GitHub does not imply an endorsement of any one particular service, product, or enterprise.

Public Domain Standard Notice

This repository constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105. This repository is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this repository will be released under the CC0 dedication. By submitting a pull request you are agreeing to comply with this waiver of copyright interest.

License Standard Notice

The repository utilizes code licensed under the terms of the Apache Software License and therefore is licensed under ASL v2 or later.

This source code in this repository is free: you can redistribute it and/or modify it under the terms of the Apache Software License version 2, or (at your option) any later version.

This source code in this repository is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Apache Software License for more details.

You should have received a copy of the Apache Software License along with this program. If not, see http://www.apache.org/licenses/LICENSE-2.0.html

The source code forked from other open source projects will inherit its license.

Privacy Standard Notice

This repository contains only non-sensitive, publicly available data and information. All material and community participation is covered by the Disclaimer and Code of Conduct. For more information about CDC's privacy policy, please visit http://www.cdc.gov/other/privacy.html.

Contributing Standard Notice

Anyone is encouraged to contribute to the repository by forking and submitting a pull request. (If you are new to GitHub, you might start with a basic tutorial.) By contributing to this project, you grant a world-wide, royalty-free, perpetual, irrevocable, non-exclusive, transferable license to all users under the terms of the Apache Software License v2 or later.

All comments, messages, pull requests, and other submissions received through CDC including this GitHub page may be subject to applicable federal law, including but not limited to the Federal Records Act, and may be archived. Learn more at http://www.cdc.gov/other/privacy.html.

Records Management Standard Notice

This repository is not a source of government records, but is a copy to increase collaboration and collaborative potential. All government records will be published through the CDC web site.

Additional Standard Notices

Please refer to CDC's Template Repository for more information about contributing to this repository, public domain notices and disclaimers, and code of conduct.

Owner

  • Name: Centers for Disease Control and Prevention
  • Login: CDCgov
  • Kind: organization
  • Email: data@cdc.gov
  • Location: Atlanta, GA

CDC's collaborative software projects to protect America from health, safety, and security threats, both foreign and in the U.S.

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels