I recently had a need to calculate distance between a large number of latitude/longitude coordinate pairs. There are many options available if you want to import these in a GIS and run analysis. But there is a simpler and much more accesible way if you aren’t doing very high accuracy calculations.

Here I have a spreadsheet which implements the well-known Haversine formula to calculate distance between 2 coordinates. You can structure your point coordinates into 4 columns Lat1, Lon1, Lat2, Lon2 in decimal degrees and the distance will be calculated in meters.

You can give it a try. Just open this spreadsheet, make a copy it and play with it as you like.

The raw formula is below (Thanks to the reader Samuel who suggested it)

`=2 * 6371000 * ASIN(SQRT((SIN((LAT2*(3.14159/180)-LAT1*(3.14159/180))/2))^2+COS(LAT2*(3.14159/180))*COS(LAT1*(3.14159/180))*SIN(((LONG2*(3.14159/180)-LONG1*(3.14159/180))/2))^2))`

If you are working with coordinates in a spreadsheet, check out this post on converting Lat/Lon coordinates to UTM coordinates dynamically in a spreadsheet.

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to calculate distance between two latitude longitude you can use website https://www.latlongfinder.net/lat-long-distance-calculator

i need WGS84 formula (not haversine)

WGS84 formula is Vincenty’s Formulae. It is quite complex to implement in a spreadsheet. There are 2 alternatives

1. Use Python https://courses.spatialthoughts.com/python-foundation.html#calculating-distance-1

2. Use QGIS Python API: https://courses.spatialthoughts.com/pyqgis-in-a-day.html#calculating-distance-using-pyqgis