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If you have the spatial analyst extension you can use the Euclidean Distance tool. 1. Convert the buffer to a raster with the "To Raster" tool (under conversion tools). 2. Then run the Euclidean Distance Tool which will create a raster with values representing distance from the cells that comprised the input raster. 3. Then if necessary, you can extract ...


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After a little editing i used this script and its working fine. Now i just have to do it for each ID and for each day :-) library(SDMTools) library(rgeos) library(maptools) library(lubridate) #points <- readShapePoints("C:/Users/mlra/Desktop/FunWithDistance/DummyBird.shp") points <- tellus_2012_2013 lon <- as.vector(points$long) lat <- ...


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It all depends on the level of accuracy that you need. A coarse approach would be the spherical law of cosines. This has issues with small distances - some say that it is around 1km, others say down to a few meters. A better approach would be the Haversine Formula. This works well, however, it doesn't take into account that the earth is not actually a ...



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