Description Usage Arguments Details Value Examples
evaluateDroughtNema evaluates based on a set of weather variables as
raster based time series (RasterBrick or RasterStack object, if
for a given spatial and temporal point drought or near drought conditions are
prevalent or not (according to the classification of the NEMA).
1 2 3 4 | evaluateDroughtNema(precipitation, ltmprecipitation, airtemperature,
ltmairtemperature, ltsdairtemperature, dailymaxairtemperature, dailymeanrh,
naturalzonesraster, resolution = "monthly", timedate_aggregated,
timedate_daily, cores = 10, clcall = NULL)
|
precipitation |
A |
ltmprecipitation |
A |
airtemperature |
A |
ltmairtemperature |
A |
ltsdairtemperature |
A |
dailymaxairtemperature |
A |
dailymeanrh |
A |
naturalzonesraster |
A |
resolution |
A character value indicating the temporal resolution of the
|
timedate_aggregated |
A |
timedate_daily |
A |
cores |
The number of cores to be used in parallel computing. |
clcall |
A function passed to |
The start and end time point of the target time interval are derived from
timedate_daily. All time intervals of timedate_aggregated are supposed
to fit perfectly within timedate_daily (i.e. there are no more or less days in
timedate_daily). All Raster* time series data are supposed to have the
same spatial extent an resolution. precipitation and airtemperature are
supposed to have the same temporal resolution. dailymaxairtemperature and
dailymeanrh are supposed to have the same temporal resolution.
A list with the first element representing daily values if drought (2), near
drought (1) or no drought (0) conditions prevail, as a RasterBrick object, and
the second element being equal to timedate_daily and indicating the time information
relating to the layers of the first element.
1 | #
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