How to count unique TRUE's
I'm guessing based on the data and situation you describe that some variant of this would probably get you close: ## Sample data: d <- data.frame(A=c(T,F,F,T), B=c(F,T,F,T)) ## Count row-wise trues: sum( apply(d, MARGIN=1, sum) >= 1 ) Hope that helps, Forrest -- Forrest R. Stevens Ph.D. Candidate, QSE3 IGERT Fellow Department of Geography Land Use and Environmental Change Institute University of Florida www.clas.ufl.edu/users/forrest
On Tue, Mar 31, 2015 at 2:29 PM, Tom Philippi <tephilippi at gmail.com> wrote:
I can't quite make sense of what your objects look like, but I suspect you need to change byid to a vector, so you are byid for the points but not the polygons byid=c(FALSE,TRUE) or vice versa. On Tue, Mar 31, 2015 at 10:55 AM, Walter Anderson <wandrson01 at gmail.com> wrote:
I have a buffered project SpatialPolygonDataFrame and a
SpatialPointDataFrame that I want to intersect (one project at a time)
and count the number of points within each polygon's footprint.
I am using the following code:
for (i in 1:numprjs)
{
curprj <- as.character(output at PROJECT[i])
tmp <- subset(buf2640, buf2640$PROJECT == curprj)
tmp2 <- as.vector(gIntersects(tmp, ac, byid=TRUE))
output$AC[i] <- length(tmp[tmp2 == TRUE])
}
The problem is that when the project's polygons cover more than one
overlapping shapes (derived from multiple sub-projects that are given
the same project id), the above code can multiple count a single ac
point if it falls within the boundaries of two or more of a single
projects polygons.
As an example project 'B1103' has two points within its two polygons;
however, the above code reports three. I believe the following extract
of the core gIntersects command shows why
2 3
122 FALSE TRUE
313 TRUE TRUE
So clearly the problem is my use of as.vector, which is taking all of
the columns and combining them into a single vector; however, I am
unsure of the best way to count the number of true in the original data
structure created by the gIntersects command.
Walter Anderson
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