Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/azvoleff/gfcanalysis
Tools for working with Hansen et al. Global Forest Change dataset
https://github.com/azvoleff/gfcanalysis
Last synced: about 2 months ago
JSON representation
Tools for working with Hansen et al. Global Forest Change dataset
- Host: GitHub
- URL: https://github.com/azvoleff/gfcanalysis
- Owner: azvoleff
- Created: 2014-02-24T16:15:48.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2023-10-09T21:55:15.000Z (about 1 year ago)
- Last Synced: 2024-04-23T03:08:40.642Z (9 months ago)
- Language: R
- Homepage:
- Size: 271 KB
- Stars: 17
- Watchers: 6
- Forks: 10
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- open-sustainable-technology - gfcanalysis - Tools for working with Global Forest Change dataset. (Biosphere / Deforestation and Reforestation)
README
# gfcanalysis
## Overview
The `gfcanalysis` package facilitates analyses of forest change using the
[Global Forest
Change](http://earthenginepartners.appspot.com/science-2013-global-forest)
dataset released by Hansen et al. 2013, and subsequent versions of that data.
The package was originally designed to support the work of the [Tropical
Ecology Assessment & Monitoring (TEAM) Network](http://www.teamnetwork.org).
## Package Installation
## Release Version
To install the release version of `gfcanalysis` in R, just run:
```R
install.packages('gfcanalysis')
```
## Development Version
The easiest way to install the development version of the `gfcanalysis` package
is using the
[`devtools`](https://CRAN.R-project.org/package=devtools)
package. After installing `devtools`, type:
```R
install_github('azvoleff/gfcanalysis')
```
## Usage
There are two example scripts demonstrating how to use the `gfcanalysis`
package:
- For those new to R, see the
[install_gfcanalysis.R](https://raw.githubusercontent.com/azvoleff/gfcanalysis/master/inst/examples/install_gfcanalysis.R)
script. This script provides guidance on how to download and install the
(development version) of the package in R.
- For an example of how to run the package to calculate forest
change statistics for a given area of interest (AOI), see the examples in
[analyze_gfc.R](https://raw.githubusercontent.com/azvoleff/gfcanalysis/master/inst/examples/analyze_GFC.R).
## Author Contact Information
[Matt Cooper](mailto:[email protected]) (current author and maintainer)
PhD Student
Department of Geographical Sciences
University of Maryland
[Alex Zvoleff](mailto:[email protected]) (original author)
Senior Director, Resilience Science
Moore Center for Science
Conservation International
2011 Crystal Dr. Suite 600
Arlington, VA 22202
USA
## References
Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A.
Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy,
A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013.
High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342,
(15 November): 850--853. Data available on-line from:
http://earthenginepartners.appspot.com/science-2013-global-forest.