If I understand your problem. You can compute a global centroid for the large
polygon directly as a weighted average.
If Pi is the population of block i
and (xi, yi) are the coordinates of the centroid of block i.
the weighted average centroid of the polygon will be:
x_w = sum(xi*Pi)/sum(Pi)
y_
Hi Loïc,
Thank you so much for your reply. I went through the approach that you have
already proposed. I believe it's a great idea.
I'd like to emphasize that the coordinates of the centroid of each block is
available. The idea is how to relate these centroids to the corresponding
population o
Hi Sohrab,
I don't think there is a method for weighted centroids specifically.
What if you get the centroid coordinates of each "block" using
gCentroid() and calculate a weighted average of the coordinates of every
centroid?
See an example below assuming your blocks are a
SpatialPolygonsDataF
Dear all,
I have a set of spatial polygons and several blocks of population (with fixed
area but a different number of people in each). I have used the "over" method
from "sp" package to identify the blocks which are located inside these
polygons.
Now, utilizing R, I wish to assign to each of th
