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geoTS (version 0.1.8)

Methods for Handling and Analyzing Time Series of Satellite Images

Description

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) .

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Version

Install

install.packages('geoTS')

Monthly Downloads

241

Version

0.1.8

License

GPL (>= 2)

Maintainer

Inder Tecuapetla-G<c3><b3>mez

Last Published

November 17th, 2022

Functions in geoTS (0.1.8)

MOD13Q1_NDVI_2000129_009

MOD13Q1 NDVI binary file
MOD13Q1_NDVI_Mohinora

16-day MOD13Q1 NDVI RasterStack
transfer_raster_RData

Transfer values from a Raster* object to an RData file
transfer_bin_raster

Transfer values from a binary image file to a raster file
split_replace

Splits a Raster* object into smaller chunks and allows to replace cell values
hetervar

Heteroscedastic variance estimation for remotely-sensed data
shp_mohinora

SpatialPolygonsDataFrame for Cerro Mohinora
matrixToRaster

Creates a RasterLayer object from a matrix
raster_intersect_sp

Intersects raster and sp objects
maxLagMissVal

Get maximum lag of missing values
master

Land Mask of eastern Yucatan Peninsula
geoTS-package

Methods for Handling and Analyzing Time Series of Satellite Images
haRmonics

Harmonic analysis for time series