How to convert from UTM to LatLng in python or Javascript
I ended up finding java code from IBM that solved it: http://www.ibm.com/developerworks/java/library/j-coordconvert/index.html
Just for reference, here is my python implementation of the method I needed:
import mathdef utmToLatLng(zone, easting, northing, northernHemisphere=True): if not northernHemisphere: northing = 10000000 - northing a = 6378137 e = 0.081819191 e1sq = 0.006739497 k0 = 0.9996 arc = northing / k0 mu = arc / (a * (1 - math.pow(e, 2) / 4.0 - 3 * math.pow(e, 4) / 64.0 - 5 * math.pow(e, 6) / 256.0)) ei = (1 - math.pow((1 - e * e), (1 / 2.0))) / (1 + math.pow((1 - e * e), (1 / 2.0))) ca = 3 * ei / 2 - 27 * math.pow(ei, 3) / 32.0 cb = 21 * math.pow(ei, 2) / 16 - 55 * math.pow(ei, 4) / 32 cc = 151 * math.pow(ei, 3) / 96 cd = 1097 * math.pow(ei, 4) / 512 phi1 = mu + ca * math.sin(2 * mu) + cb * math.sin(4 * mu) + cc * math.sin(6 * mu) + cd * math.sin(8 * mu) n0 = a / math.pow((1 - math.pow((e * math.sin(phi1)), 2)), (1 / 2.0)) r0 = a * (1 - e * e) / math.pow((1 - math.pow((e * math.sin(phi1)), 2)), (3 / 2.0)) fact1 = n0 * math.tan(phi1) / r0 _a1 = 500000 - easting dd0 = _a1 / (n0 * k0) fact2 = dd0 * dd0 / 2 t0 = math.pow(math.tan(phi1), 2) Q0 = e1sq * math.pow(math.cos(phi1), 2) fact3 = (5 + 3 * t0 + 10 * Q0 - 4 * Q0 * Q0 - 9 * e1sq) * math.pow(dd0, 4) / 24 fact4 = (61 + 90 * t0 + 298 * Q0 + 45 * t0 * t0 - 252 * e1sq - 3 * Q0 * Q0) * math.pow(dd0, 6) / 720 lof1 = _a1 / (n0 * k0) lof2 = (1 + 2 * t0 + Q0) * math.pow(dd0, 3) / 6.0 lof3 = (5 - 2 * Q0 + 28 * t0 - 3 * math.pow(Q0, 2) + 8 * e1sq + 24 * math.pow(t0, 2)) * math.pow(dd0, 5) / 120 _a2 = (lof1 - lof2 + lof3) / math.cos(phi1) _a3 = _a2 * 180 / math.pi latitude = 180 * (phi1 - fact1 * (fact2 + fact3 + fact4)) / math.pi if not northernHemisphere: latitude = -latitude longitude = ((zone > 0) and (6 * zone - 183.0) or 3.0) - _a3 return (latitude, longitude)
And here I thought it was something simple like easting*x+zone*y
or something.
What I found is the following site: http://home.hiwaay.net/~taylorc/toolbox/geography/geoutm.htmlIt has a javascript converter, you should check the algorithm there. From the page:
Programmers: The JavaScript source code in this document may be copied and reused without restriction.
According to this page, UTM is supported by proj4js.
http://trac.osgeo.org/proj4js/wiki/UserGuide#Supportedprojectionclasses
You may also want to take a look at GDAL. The gdal library has excellent python support, though it may be a bit overkill if you're only doing projection conversion.