kernels, contours, points?

library(RSAGA)
rsaga.get.usage("shapes_polygons",3)

I think creative use of the overlay() function would accomplish what  
you want.
Some example code that is a bit like what you propose (uses the sp  
library):

# I have a polydataframe object:
my.poly.data <- SpatialPolygonsDataFrame(my.poly, area.lu.table)

# I have a set of point objects (derived, in this case, from  
spsample):
samgrid <- spsample(us.spPolys, 500, 'regular')

# I'd like to know which poly in my.poly.data each point in samgrid  
falls in:
sample.area <- overlay(my.poly.data, samgrid)$name

For this to work, you would need to figure out how to turn contours  
into
polys, which might be tricky, especially if they aren't closed and/ 
or have
holes (pits) within them.

I admit that I am not very comfortable working with the sp objects,  
and I
would generally advise someone doing GIS-type work to use a GIS.  
Hawth's
(not "Hawk's") Analysis Tools are very useful in an ESRI  
environment, as are
built in commands and extensions in many GIS.

yours,

Ashton
-- 
Ashton Shortridge
Associate Professor			ashton at msu.edu
Dept of Geography			http://www.msu.edu/~ashton
235 Geography Building		ph (517) 432-3561
Michigan State University		fx (517) 432-1671

On Wednesday 16 July 2008, Jeebz wrote:

Hi

I'm new to the R spatial packages, but I have a spatial-oriented task
I would like to accomplish.

I have a 2d grid of points and each point has a class (13 classes
total in the dataset).  The grid is small-ish, only 256x256.  I have
run a 2d kernel density estimation (using kde2d) and can create a
contour plot easily (per class).

What I would like to do is use a contour line to extract all the
points from the original grid that are bounded by that contour.
Ultimately, I wish to calculate a sort of "purity" measure, so  
given a
particular contour (e.g. a contour level that encloses 95% of the
classes points), how many points from other classes fall in with the
classes that were used to define the contour.

I know there has to be a way to do this with R... right?  A colleague
of mine showed my how it could be done using ArcGIS and "Hawkes
tools", by calculating percent volume contours, but I don't know  
where
to begin in R.

Anyone have any thoughts or examples on this?

Much thanks in advance,

bct