I want to sum 13 raster maps, and calculate the mean of areas which overlap among them. I mean, sum all the maps, but in those areas which they overlap calculate the mean of the values.
take the average per “area” with either r.univar (if you want table output) or r.stats.zonal (if you want map output).
Cheers
Stefan
···
Dear all,
I want to sum 13 raster maps, and calculate the mean of areas which overlap among them. I mean, sum all the maps, but in those areas which they overlap calculate the mean of the values.
I want to sum 13 raster maps, and calculate the mean of areas which
overlap
among them. I mean, sum all the maps, but in those areas which they
overlap
calculate the mean of the values.
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 occurring 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
tvalue: linear regression t-value
min_raster: raster map number with the minimum time-series value
max_raster: raster map number with the maximum time-series value
On Nov 8, 2016 3:41 PM, “Helmut Kudrnovsky” <hellik@web.de> wrote:
M. wrote
Dear all,
I want to sum 13 raster maps, and calculate the mean of areas which
overlap
among them. I mean, sum all the maps, but in those areas which they
overlap
calculate the mean of the values.