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Provides easy-to-use tools for data analysis and visualization for hyperspectral remote sensing (also known as imaging spectroscopy), with a particular focus on vegetation hyperspectral data analysis. It consists of a set of functions, ranging from the organization of hyperspectral data in the proper data structure for spectral feature selection, calculation of vegetation index, multivariate analysis, as well as to the visualization of spectra and results of analysis in the 'ggplot2' style.
Version: | 0.1.0 |
Depends: | R (≥ 3.1.0) |
Imports: | ggplot2, ggpmisc, methods, Matrix, reshape2, RColorBrewer |
Suggests: | devtools, testthat, flux, knitr, rmarkdown, stringi |
Published: | 2021-04-20 |
DOI: | 10.32614/CRAN.package.visa |
Author: | Kang Yu [aut, cre] |
Maintainer: | Kang Yu <kang.yu at outlook.com> |
BugReports: | https://github.com/kang-yu/visa/issues |
License: | GPL-3 |
URL: | https://github.com/kang-yu/visa |
NeedsCompilation: | no |
Citation: | visa citation info |
Materials: | README NEWS |
CRAN checks: | visa results |
Reference manual: | visa.pdf |
Vignettes: |
Introduction to visa |
Package source: | visa_0.1.0.tar.gz |
Windows binaries: | r-devel: visa_0.1.0.zip, r-release: visa_0.1.0.zip, r-oldrel: visa_0.1.0.zip |
macOS binaries: | r-release (arm64): visa_0.1.0.tgz, r-oldrel (arm64): visa_0.1.0.tgz, r-release (x86_64): visa_0.1.0.tgz, r-oldrel (x86_64): visa_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=visa to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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