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.
This R package is to facilitate Vegetation Imaging Spectroscopy Analysis (VISA).
For more details of this package, you can browseVignettes("visa").
The very first version of visa (0.1.0) is on CRAN.
install.packages("visa")
You might encounter problem of package dependencies, such as some functions
depend on ggplot2, ggpmisc. In such cases, you would have to install all
the dependencies.
The current version on GitHub is v1.0.0.
if (!require("devtools")) install.packages("devtools")
devtools::install_github("kang-yu/visa")
library(visa)
data(NSpec.DF)
x <- NSpec.DF$N # nitrogen
S <- NSpec.DF$spectra[, seq(1, ncol(NSpec.DF$spectra), 10)] # resampled to 10 nm steps
cm.nsr(S, x, cm.plot = TRUE)
You can report your issues of using visa here. Don't know how to report a bug? Check RStudio's Instructions on Writing Good Bug Reports.
You might find useful information by checking the issues reported by others.