Classes and Methods for Working with Spectral Data with
Space-Time Attributes
methods, dplyr, spacetime, xts, maps, rgdal, leaflet, rbokeh,
plotly, sp, stats
Provides S4 classes and data import, preprocessing, graphing,
manipulation and export methods for geo-Spectral datasets (datasets with space/time/spectral
dimensions). These type of data are frequently collected within earth observation projects
(remote sensing, spectroscopy, bio-optical oceanography, mining, agricultural, atmospheric,
environmental or similar branch of science).
geoSpectral.R SpcHeader-Class.R SpcHeader-Methods.R
Spectra-Class.R Spectra-Methods.R SpcList-Class.R
SpcList-Methods.R

geoSpectral.R SpcHeader-Class.R SpcHeader-Methods.R
Spectra-Class.R Spectra-Methods.R SpcList-Class.R
SpcList-Methods.R Spectra-ImportFuns.R

Servet Ahmet Cizmeli [aut, cre]
(<https://orcid.org/0000-0001-6694-9305>)
person("Servet Ahmet", "Cizmeli", , "ahmet@pranageo.com", c("aut", "cre"), comment = c(ORCID = "0000-0001-6694-9305"))

Methods for Handling and Analyzing Time Series of Satellite
Images
person("Inder", "Tecuapetla-Gómez",
email = "itecuapetla@conabio.gob.mx",
role = c("aut", "cre"))
Provides functions and methods for: splitting large raster objects
into smaller chunks, transferring images from a binary format into raster
layers, transferring raster layers into an 'RData' file, calculating the
maximum gap (amount of consecutive missing values) of a numeric vector,
and fitting harmonic regression to periodic time series. The methods
implemented for harmonic regression are based on G. Roerink, M. Menenti
and W. Verhoef (2000) <doi:10.1080/014311600209814>.

Provides functions and methods for: splitting large raster objects
into smaller chunks, transferring images from a binary format into raster
layers, transferring raster layers into an 'RData' file, calculating the
maximum gap (amount of consecutive missing values) of a numeric vector,
and fitting harmonic regression models to periodic time series. The homoscedastic
harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.