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Here's one way it can be done: Change your data frame to a projected coordinate system that makes sense for your data. Calculate Geometry on 4 new fields X_incident, X_engine, Y_incident, Y_engine to populate the coordinates, using the CS of the data frame. Don't use the default, which is the coordinate system of the data! Calculate distance field with ...


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If you project your data to a planar coordinate system in linear units (feet, meters) you could use the old pythagorean theorem. Note: This is not going to do the type of thing you'd get with network analyst (this will be euclidean distance aka "as the crow flies"). Lets say your fields are x1, y1, x2, y2. You'd create another set of fields and calculate ...



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