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How to find the distance between one point to another? - Answers
The question is too imprecise for a simple answer. If you are given only the two points in Euclidean space you must measure the distance. If they are two points on a map, then the true (real-life) distance is the measured distance times the map's scale. If the two points, A and B, are in n-dimensional coordinate space then the Euclidean distance is given by the n-dimensional Pythagoras' equation: Dist(A, B) = sqrt[(Ax - Bx)^2 + (Ay - By)^2 + ... ] where Ax is the x coordinate of A, and so on. But there are also other metrics possible. One such is the Manhattan distance (also called the taxicab distance). Based on Manhattan's rectangular grid of avenues and streets, the distance between two points is the difference in their avenue numbers added to the difference in their street numbers. This metric can easily be extended to 3 or more dimensions.
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How to find the distance between one point to another? - Answers
The question is too imprecise for a simple answer. If you are given only the two points in Euclidean space you must measure the distance. If they are two points on a map, then the true (real-life) distance is the measured distance times the map's scale. If the two points, A and B, are in n-dimensional coordinate space then the Euclidean distance is given by the n-dimensional Pythagoras' equation: Dist(A, B) = sqrt[(Ax - Bx)^2 + (Ay - By)^2 + ... ] where Ax is the x coordinate of A, and so on. But there are also other metrics possible. One such is the Manhattan distance (also called the taxicab distance). Based on Manhattan's rectangular grid of avenues and streets, the distance between two points is the difference in their avenue numbers added to the difference in their street numbers. This metric can easily be extended to 3 or more dimensions.
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How to find the distance between one point to another? - Answers
The question is too imprecise for a simple answer. If you are given only the two points in Euclidean space you must measure the distance. If they are two points on a map, then the true (real-life) distance is the measured distance times the map's scale. If the two points, A and B, are in n-dimensional coordinate space then the Euclidean distance is given by the n-dimensional Pythagoras' equation: Dist(A, B) = sqrt[(Ax - Bx)^2 + (Ay - By)^2 + ... ] where Ax is the x coordinate of A, and so on. But there are also other metrics possible. One such is the Manhattan distance (also called the taxicab distance). Based on Manhattan's rectangular grid of avenues and streets, the distance between two points is the difference in their avenue numbers added to the difference in their street numbers. This metric can easily be extended to 3 or more dimensions.
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