README.md

In gfcanalysis: Tools for Working with Hansen et al. Global Forest Change Dataset

gfcanalysis

Overview

The gfcanalysis package facilitates analyses of forest change using the Global Forest Change 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.

Package Installation

Release Version

To install the release version of gfcanalysis in R, just run:

install.packages('gfcanalysis')

Development Version

The easiest way to install the development version of the gfcanalysis package is using the devtools package. After installing devtools, type:

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 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.

Author Contact Information

Matt Cooper (current author and maintainer) PhD Student Department of Geographical Sciences University of Maryland

Alex Zvoleff (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.

gfcanalysis documentation built on Oct. 11, 2023, 5:15 p.m.