Latest Contributions by AyanPalit

@Craig_Eissler_Iceman  The Euclidean space can be 2D or 3D. Considering the 3D Cartesian coordinate system below, planar distance will be on the 2D orange plane. Note that, Euclidean distance can be calculated using the Pythagorean theorem in the 2D orange plane. AyanPalit_0-1750763562920.png Now consider 2 points on the green plane that are at different y-coordinates, and project them back to the orange plane (flattening them in the process). In this situation, the planar distance calculated on the projected orange plane will be different than the Euclidean distance calculated on the green plane. This example illustrates planar distance equals Euclidean distance in 2D Euclidean space, but may differ if Euclidean space is 3D. With advances in data collection technologies, majority of GPS/GIS/location information, includes z-coordinates representing the elevation. ArcGIS has various capabilities around storing, managing, displaying as well as analysis like measurements using 3D data. Here's a good read:  Why you should think about coordinate systems when working in 3D ... View more

@Craig_Eissler_Iceman my notes on this topic: Euclidean distance is the straight-line distance between two points in Euclidean space (in theory this can be 2D or 3D). The distance is calculated using the Pythagorean theorem, relating the difference in coordinates along each axis. AyanPalit_0-1750159120437.png Reference: Understanding Euclidean distance analysis Planar distance is straight-line Euclidean distance calculated in a 2D Cartesian coordinate system. Here calculations are always made on a flat, 2D plane; thereby planar distance equals Euclidean distance in 2D Euclidean space but may differ if  Euclidean space is 3D. Reference: Geodesic versus planar distance ... View more