clima_data.R

#' Example of input data using local data
#' 
#' Input example from disk data. See details
#' 
#' @details 
#' 
#' \code{commonbean}: a list with three data sets 1) on-farm variety performance data,
#'  2) chirps data, and 3) modis data. 
#' 
#' \code{rain_dat}: matrix with precipitation from CHIRPS. An excerpt to represent 
#'  an example of the input data in \code{rainfall()} or 
#' 
#' \code{get_timeseries()} when a matrix is provided.
#' 
#' \code{rain_dat}: matrix with precipitation from CHIRPS. An excerpt to represent 
#'  an example of the input data in \code{rainfall()} or 
#'  \code{get_timeseries()} when a matrix is provided.
#'  
#' \code{innlandet}: a data.frame with maximum and minimum temperature for a random point in 
#'  the Innlandet county in Norway, spanning from "2019-01-01" to "2019-07-01"
#'  
#' \code{lonlatsf}: a 'sf' object with 'POINT' geometry with five random points around 
#'  the municipality of Sinop, Brazil 
#'  
#' \code{temp_dat} and \code{rain_dat}, rows represents the coordinates for the 
#'  given lonlat provided in \code{raster::extract()} and colunms represents the dates 
#'  from the observed precipitation/temperature.
#' 
#' @name clima_data
#' @rdname clima_data
#' @docType data
#' @aliases lonlatsf
#' @aliases temp_dat
#' @aliases rain_dat
#' @aliases innlandet
#' @aliases commonbean
#' @keywords datasets
#' @source 
#' 
#' Funk, C. et al. (2015). The climate hazards infrared precipitation 
#' with stations—a new environmental record for monitoring extremes. 
#' Scientific Data, 2, 150066. \doi{https://doi.org/10.1038/sdata.2015.66}
#' 
#' van Etten, J. et. al. (2019). PNAS 116(10) 4194-4199 
#'    \doi{http://doi.org/10.1073/pnas.1813720116}
#' 
#' Wan Z, Hook S, Hulley G (2015) MYD11A1 MODIS/Aqua Land Surface 
#' Temperature/Emissivity 8-Day L3 Global 1km
#' SIN Grid V006 \doi{http://doi.org/10.5067/MODIS/MYD11A2.006}.
#' 
#' @format 
#' an array with two layers (temp_dat) a matrix (rain_dat),
#'  a data.frame (innlandet), a sf object (lonlatsf), 
#'  a list ("commonbean")
c("rain_dat", "temp_dat", "lonlatsf","innlandet", "commonbean")