Title: Generalised Linear Spatial Models
Description: Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package 'geoRglm' is an extension to the package 'geoR', which must be installed first.

Maintainer: Ketut Karang Pradnyadika <221709776@stis.ac.id>
Description: This function is an extension of the Small Area Estimation (SAE) model. Geoadditive Small Area Model is a combination of the geoadditive model with the Small Area Estimation (SAE) model, by adding geospatial information to the SAE model. This package refers to J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7), Bocci, C., & Petrucci, A. (2016)<doi:10.1002/9781118814963.ch13>, and Ardiansyah, M., Djuraidah, A., & Kurnia, A. (2018)<doi:10.21082/jpptp.v2n2.2018.p101-110>.
Author: Ketut Karang Pradnyadika [aut, cre],

Title: Classes and Methods for Working with Spectral Data with
Imports: methods, dplyr, spacetime, xts, maps, rgdal, leaflet, rbokeh,
Maintainer: Servet Ahmet Cizmeli <ahmet@pranageo.com>
Description: 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).

person("Servet Ahmet", "Cizmeli", , "ahmet@pranageo.com", c("aut", "cre"), comment = c(ORCID = "0000-0001-6694-9305"))

Title: Methods for Handling and Analyzing Time Series of Satellite
Author: Inder Tecuapetla-Gómez [aut, cre]
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 to periodic time series. The methods
implemented for harmonic regression are based on G. Roerink, M. Menenti
Imports: methods, sp (>= 1.2-0), doParallel (>= 1.0.14), iterators (>=
Packaged: 2020-02-28 18:08:47 UTC; itecuapetla