I have to get distance from different markers on the map to the current location of the device and the pick up the shortest one. I have the lat and long for the markers and
If you want to find the shortest one not list the closest and you want the process to scale to a large amount of locations, you can do some filtering before you calculate distances and you can simplify the formula to speed it up as you don't care about actual distances (i.e. remove the multiplication by the radius of the earth).
Filtering algorithm, looping through each location :
You can further help the algorithm by feeding it with what might be close locations first. For example if you know one of the points is in the same country or state.
Here is some Python code to do that, use it as pseudocode for your solution :
locations = {
'Bangalore' : (12.971599, 77.594563),
'Delhi' : (28.635308, 77.224960),
'Mumbai' : (19.075984, 72.877656),
'Chennai' : (13.052414, 80.250825),
'Kolkata' : (22.572646, 88.363895)
}
from math import sin, cos, atan2, sqrt
EARTH_RADIUS = 6373 # km
def distance(a, b): # pass tuples
(lat1, lon1) = a
(lat2, lon2) = b
dlon = lon2 - lon1
dlat = lat2 - lat1
a = (sin(dlat/2))**2 + cos(lat1) * cos(lat2) * (sin(dlon/2))**2
c = 2 * atan2( sqrt(a), sqrt(1-a) )
return EARTH_RADIUS * c
current = (17.385044, 78.486671) # current lat & lng
closest = None
closest_name = None
for name, cordinates in locations.iteritems():
d = distance(current, cordinates)
if closest is None or d < closest:
closest = d
closest_name = name
print "~%dkm (%s)" % (distance(current, cordinates), name)
print "\nClosest location is %s, %d km away." % (closest_name, closest)
Output :
~5700km (Kolkata)
~13219km (Chennai)
~12159km (Bangalore)
~7928km (Delhi)
~10921km (Mumbai)
Closest location is Kolkata, 5700 km away.