Calculating Distance Given Two Points: Latitude and Longitude
Determining the distance between points using their latitude and longitude is a common GIS task. To find points within a specified radius, we can leverage mathematical formulas and SQL queries.
Formula for Distance Calculation
One approach is to use the Haversine formula, which calculates the distance between two points on a sphere:
<code class="python">def get_distance(lat1, lon1, lat2, lon2, unit='Mi'): theta = lon1 - lon2 distance = (math.sin(math.radians(lat1)) * math.sin(math.radians(lat2))) + \ (math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * \ math.cos(math.radians(theta))) distance = math.acos(distance) distance = math.degrees(distance) distance = distance * 60 * 1.1515 if unit == 'Km': distance = distance * 1.609344 return round(distance, 2)</code>
SQL Query for Radius Search
Another option is to use a MySQL query with the distance formula:
<code class="sql">SELECT *, (((acos(sin((".$latitude."*pi()/180)) * sin((`Latitude`*pi()/180))+cos((".$latitude."*pi()/180)) * cos((`Latitude`*pi()/180)) * cos(((".$longitude."- `Longitude`)* pi()/180))))*180/pi())*60*1.1515) as distance FROM `MyTable` HAVING distance >= ".$distance.";</code>
By applying these methods, you can efficiently calculate the distance between points and find those within a desired radius from a given location.
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