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gfcanalysis
View on CRAN: Click
here
Download and install gfcanalysis package within the R console
Install from CRAN:
install.packages("gfcanalysis")
Install from Github:
library("remotes")
install_github("cran/gfcanalysis")
Install by package version:
library("remotes")
install_version("gfcanalysis", "1.8.0")
Attach the package and use:
library("gfcanalysis")
Maintained by
Matthew Cooper
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-03-28
Latest Update: 2023-10-11
Description:
Supports analyses using the Global Forest Change dataset released
by Hansen et al. gfcanalysis was originally written for the Tropical Ecology
Assessment and Monitoring (TEAM) Network. For additional details on the
Global Forest Change dataset, see: Hansen, M. et al. 2013. "High-Resolution
Global Maps of 21st-Century Forest Cover Change." Science 342 (15
November): 850-53. The forest change data and more information on the
product is available at .
How to cite:
Matthew Cooper (2014). gfcanalysis: Tools for Working with Hansen et al. Global Forest Change Dataset. R package version 1.8.0, https://cran.r-project.org/web/packages/gfcanalysis. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that gfcanalysis depends,
imports, suggests or enhances
Complete documentation for gfcanalysis
Functions, R codes and Examples using
the gfcanalysis R package
Some associated functions: animate_annual . annual_stack . calc_gfc_tiles . calc_pixel_areas . check_aoi . download_tiles . extract_gfc . gfc_stats . gfc_tiles . plot_gfc . scale_by_pixel_area . scale_toar . test_poly . threshold_gfc . utm_zone .
Some associated R codes: animate_annual.R . annual_stack.R . calc_gfc_tiles.R . check_aoi.R . download_tiles.R . extract_gfc.R . gfc_stats.R . gfcanalysis-package.R . pixel_areas.R . threshold_gfc.R . utm_zone.R . Full gfcanalysis package functions and examples
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