#Build example dataset for packaging
#working directory
setwd("/home/potterzot/reason/work/wsu/climate-change/cbccy/")
#archive directories
archive.historical.dir = ""
archive.future.dir = ""
#list of locations to copy
locations = list(
c(46.28125, -116.21875),
c(46.71875, -117.21875),
c(47.21875, -117.21875),
c(48.40625, -117.84375)
)
#make a list of location files to extract
future.files = c()
historical.files = c()
for (i in 1:length(locations)) {
loc = locations[[i]]
future.files[i] = paste0(archive.future.dir, "data_",loc[1],"_",loc[2])
historical.files[i] = paste0(archive.historical.dir, "data_",loc[1],"_",loc[2])
}
#Extract historical data
#untar("data-raw/vic_inputdata0625_pnw_combined_05142008.tar.gz",
# historical.files,
# exdir = "data/historical/")
#Extract future data
#untar("data-raw/ccsm3_B1_2020-2049.tar.gz",
# future.files,
# exdir = "data/future/")
#copy over 1 year of data as 'present' data
#later we will use actual present data
for (loc in locations) {
hist.data = getLocationData(loc[1],loc[2],mode='historical')
y.data = filter(hist.data,year==2001)
write.name = paste0("data/present/data_",loc[1], "_", loc[2])
writeClimateData(y.data, write.name)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.