I am trying to calculating 95th percentile within polygons from a of
set realizations - something like zonal statistics.
How do I calculate 95 th percentile for each polygon over all realizations.
Thanks
Zia
For example:
data(meuse)
data(meuse.grid)
coordinates(meuse) - ~x+y
Zia,
You may want to rethink the question. Each realization has a 95
percentile within a particular polygon. Over the set of realizations of
some aggregated value for a polygon, you can take a 95 percentile.
These are two different things. The first is a spatial aggregation, the
second an
Your are correct. Now, what I am going to do: first calculate 95th
percentile of all realizations at prediction grid and then calculate
the mean for each polygon. Is it possible to calculated weighted mean
of the this 95th percentile? weight may be area of polygon or any
value, for
On 10/18/2011 11:45 PM, Zia Ahmed wrote:
Your are correct. Now, what I am going to do: first calculate 95th
percentile of all realizations at prediction grid and then calculate the
mean for each polygon.
this implies you end up with one single value per polygon. Call it A.
Is it possible
