Highest concentration area

Asked Oct 29 '19 at 20:14

Active Oct 29 '20 at 12:46

Viewed 120 times

I try to find groups of points within a radius of 300 meters that gather the highest amount. I am looking for the coordinates of this point. Note that the center point of the area that gather the highest amount has no reason to be a point in data frame observations.

I have the following data:

observations <- spatialrisk::insurance %>%
  dplyr::select(amount, lon, lat)

The function spatialrisk::concentration determines the concentration for all target points (i.e. sub):

spatialrisk::concentration(sub = observations, 
                           full = observations, 
                           value = amount, radius = 300)

The function is written in C++ (Rcpp), and is therefore fast. However, the approach is not 'smart'.

Any ideas for a faster solution with the raster (or velox) package? Or with a kernel density approach.

edited Oct 29 '20 at 12:46

asked Oct 29 '19 at 20:14

mharinga

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Have you tried [fkde: Fast Kernel Density Estimation](https://github.com/DavidHofmeyr/fkde)? – Majid Oct 29 '19 at 22:39
Thanks @Majid for your answer. Much appreciated. However, wonder how the fkde package should be used to find a solution for the above problem? Any thoughts, please. – mharinga Oct 30 '19 at 09:08
Unfortunately, not. I suggest you contact the author of the package and let's hope he will help. – Majid Nov 04 '19 at 05:15
Can you post some sample data so we know what you're working with? – Stewart Macdonald Nov 04 '19 at 07:41
@StewartMacdonald My data is nearly perfect comparable to data set spatialrisk::insurance. – mharinga Nov 04 '19 at 08:12

Highest concentration area

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