How Can SQL Server's Geography Data Type Improve Distance Calculations Between Latitude/Longitude Points?

Optimizing Latitude/Longitude Distance Calculations in SQL Server

This article explores improved methods for calculating distances between latitude/longitude points, addressing accuracy concerns with traditional approaches.

Limitations of Existing Methods

Current distance calculations often rely on the Haversine formula, which, while functional, can suffer from accuracy limitations.

Leveraging SQL Server's Geography Data Type

Introduced in SQL Server 2008, the geography data type offers a superior solution. This specialized data type is optimized for geographic data and calculations, providing significant advantages:

• Enhanced Precision: geography uses refined algorithms, resulting in more accurate distance computations.
• Simplified Code: The STDistance method directly compares two geography instances, eliminating the need for complex formulas like the Haversine formula.

Illustrative Example using geography

The following demonstrates calculating the distance between London and Edinburgh using the geography data type:

DECLARE @source geography = 'POINT(0 51.5)'
DECLARE @target geography = 'POINT(-3 56)'

SELECT @source.STDistance(@target)

This yields a distance of approximately 538 kilometers.

Integrating geography with Existing Data Structures

Maintaining your current data structure is possible while still benefiting from the accuracy of STDistance. Construct geography instances from your existing latitude and longitude fields:

DECLARE @orig_lat DECIMAL(12, 9)
DECLARE @orig_lng DECIMAL(12, 9)
SET @orig_lat=53.381538; SET @orig_lng=-1.463526;

DECLARE @orig geography = geography::Point(@orig_lat, @orig_lng, 4326);

SELECT *,
    @orig.STDistance(geography::Point(dest.Latitude, dest.Longitude, 4326)) AS distance
FROM #orig dest

By using the geography data type and the STDistance method, you achieve both improved accuracy and streamlined code for geographical distance calculations.

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