DESCRIPTION
r.series makes each output cell value a function of the values
assigned to the corresponding cells in the input raster map layers.
Following methods are available:
- average: average value
- count: count of non-NULL cells
- median: median value
- mode: most frequently occuring value
- minimum: lowest value
- maximum: highest value
- stddev: standard deviation
- sum: sum of values
- variance: statistical variance
- diversity: number of different values
- slope: linear regression slope
- offset: linear regression offset
- min_raster: raster map number with the minimum time-series value
- max_raster: raster map number with the maximum time-series value
NOTES
With -n flag, any cell for which any of the corresponding input cells are
NULL is automatically set to NULL (NULL propagation). The aggregate function is not
called, so all methods behave this way with respect to the -n flag.
Without -n flag, the complete list of inputs for each cell (including
NULLs) is passed to the aggregate function. Individual aggregates can
handle data as they choose. Mostly, they just compute the aggregate
over the non-NULL values, producing a NULL result only if all inputs
are NULL.
The min_raster and max_raster methods generate a map with the
number of the raster map that holds the minimum/maximum value of the
time-series. The numbering starts at 0 up to n for the
first and the last raster listed in input=, respectively.
EXAMPLE
Using r.series with wildcards:
r.series input="`g.mlist pattern='insitu_data.*' sep=,`"
output=insitu_data.stddev method=stddev
Note the g.mlist script also supports regular expressions for
selecting map names.
SEE ALSO
g.mlist,
g.region
AUTHOR
Glynn Clements
Last changed: $Date$