ÐÐÐСÐÐÐÐ 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 * range: range of values (max - min) * stddev: standard deviation * sum: sum of values * variance: statistical variance * diversity: number of different values * slope: linear regression slope * offset: linear regression offset * detcoeff: linear regression coefficient of determination * min_raster: raster map number with the minimum time-series value * max_raster: raster map number with the maximum time-series value ÐÐ ÐÐÐЧÐÐÐЯ 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. ÐÐ ÐÐÐÐ 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. СÐ. ТÐÐÐÐ [1]g.mlist, [2]g.region ÐÐТÐÐ Glynn Clements Last changed: $Date: 2007-10-23 07:11:17 -0500 (ÐÑ, 23 Ð¾ÐºÑ 2007) $ ÐвÑÐ¾Ñ Ð¿ÐµÑевода References 1. file://localhost/root/tmp/2/fin/g.mlist.html 2. file://localhost/root/tmp/2/fin/g.region.html