That is very helpful--Thank you, Marcelino.
After trying Marcelino's example with my own data and taking a look at the
spatstat docs, I see that the tess function can also accept a "window"
parameter of type owin. I thought that by using the window parameter, the
outcome would be similar to the t
Hi LS,
you can us function tess to create a tesselation and then split your ppp
with it. See this example:
data(lansing)
lansing
gridA<- tess(xgrid=seq(0,1, by=0.1), ygrid=seq(0,1,by=0.1))
gridA
plot(lansing)
plot(gridA, add=T)
lansing.g=split(lansing, gridA)
lansing.g
length(lansing.g)
lansin
Hi,
I am not very savvy with spatial data analysis (though I am doing my best
to learn). I have embarked on a spatial analysis project and am not sure
whether what I would like to do is possible.
My dataset is over 500,000 points (with lat, long attributes as well as a
single numerical attribute
