A problem that arises when performing geographically weighted regression is determining the distance between GPS coordinates. GIS (geographical information system) data is usually reported as a function of latitude and longitude.
A common form of GIS data is a CSV file of latitude, longitude, z triples, where z is some quantity that varies with space.
As a prelude to interpolation, the distance between a given point and every other given point in an area needs to be calculated.
Given a set of GPS coordinates, return the distance (in miles) between each point and every point around it using the haversine formula ( http://en.wikipedia.org/wiki/Haversine_formula ) and taking the radius of Earth to be 3959 miles.
See Test Suite for Examples
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Test suite needs abs( ).
Updated. Thank you for the feedback
Is the test suite expecting a 19x19 array? Because when I submit my solution with a 19x19 array the test suite fails and I get the message: "Arrays have incompatible sizes for this operation."
The first test suite was not defined for the user. It has been updated now.