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The measure of separation between two entities or locations that may or may not be connected, such as two points.

8 votes
1 answer
2k views

Appropriate distance metric for spatial clustering of geographic coordinates

I can then imagine two ways forward: Using the great circle distance for the distance metric. … Converting the geographic coordinates to an equally-scaled projection and then finding the Euclidean distance. …
digitalmaps's user avatar
4 votes
1 answer
2k views

Correct use of the terms geographic, path, and Euclidean distance

I often use the terms geographic and Euclidean distance interchangeably when referring to the length of the shortest straight-line distance between two points on a map. Is this correct? … And, if the "distance" between two points is a weighted function of the path distance (as it may be in, say, a least-cost distance) what would the generic term be for this type of metric? …
digitalmaps's user avatar
6 votes
Accepted

Appropriate distance metric for spatial clustering of geographic coordinates

distance) when points are up to 2000 km apart (axes are in metres). … (xyLcc))) ## Find the Euclidean distance matrix of the geographic coordinates xyDist3 <- as.matrix(dist(xyLatLon)) Plots of the elements of these three distance matrices are shown below. …
digitalmaps's user avatar