#' Function to visualize GIBIF data using googleVis
#' @description Visualize a time series of the history of GBIF records.
#' @param gbif_data A data.frame with GBIF data
#' @importFrom magrittr %>%
#' @return Returns a list with googleVis motion chart and a data.frame
#' @export
#' @details Creates a motionchart of the time series of the occurrence data. It uses the function \code{\link[googleVis]{gvisMotionChart}} from \code{\link[googleVis]{googleVis-package}}.
#' @examples
#' \dontrun{
#' ambystoma_tigrinum <- searh_gbif_data(genus = "Ambystoma",
#' "tigrinum",occlim=1000,
#' writeFile=FALSE)
#'
#' atigrinum_history <- occs_history(ambystoma_tigrinum)
#' plot(atigrinum_history$mot)
#' }
occs_history <- function(gbif_data){
namesDB <- c("name","country","year","month","day")
data <- gbif_data[,namesDB]
s <-data %>% dplyr::group_by_(~name,~country,~year) %>%
dplyr::summarise(count = dplyr::n())
dat_byY <- dplyr::group_by_(dplyr::ungroup(s),~name) %>%
dplyr::mutate_(prop = ~count/sum(count))
dat_byY <- dat_byY %>% dplyr::mutate_(year1=~year)
dat_byY <- dplyr::ungroup(dat_byY)
myStateSettings <-'{"xZoomedDataMin":1199145600000,"colorOption":"2",
"duration":{"timeUnit":"Y","multiplier":1},"yLambda":1,
"yAxisOption":"4","sizeOption":"_UNISIZE",
"iconKeySettings":[],"xLambda":1,"nonSelectedAlpha":0,
"xZoomedDataMax":1262304000000,"iconType":"LINE",
"dimensions":{"iconDimensions":["dim0"]},
"showTrails":false,"uniColorForNonSelected":false,
"xAxisOption":"_TIME","orderedByX":false,"playDuration":25000,
"xZoomedIn":false,"yZoomedDataMin":0,
"yZoomedIn":false,"orderedByY":false,"yZoomedDataMax":100}
'
dat_byY <- dat_byY[ !duplicated(dat_byY[,c("country","year")]), ]
mot <- googleVis::gvisMotionChart(dat_byY,
idvar="country",
timevar="year",
xvar="year1",
yvar="count",
sizevar="prop",
options=list(myStateSettings))
return(list(mot=mot,data=data))
}
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