coordinates

I have a LatLng object and I want to shift it's coordinates 500 meters to the east. I couldn't find a built-in method for that. I've seen https://gis.stackexchange.com/a/2964 but my results are just too inaccurate (about 15%) to use practically. How can I make a precise shift in meters? Note: I am NOT looking for shifting a Google Maps camera, I know how to do that. I've tried: static final double KILOMETERS_PER_DEGREE = 111.111; static LatLng offsetLongitude(LatLng initialCoords, float horizontalOffsetInMeters){ double degreeOffset = 1.0 / KILOMETERS_PER_DEGREE * horizontalOffsetInMeters /

Background: I have been given four catalogues of data, the first of which (let's call Cat1) gives the coordinates (in right ascension and declination, RA and Dec) for radio sources in fields 1 and 2, the second catalogue (Cat2) gives the RA and Dec for radio sources and infrared (IR) sources in field 1, the third catalogue (Cat3) gives the RA and Dec for radio and IR sources in field 2, and the fourth catalogue (Cat4) gives the RA and Dec for optical sources in fields 1 and 2. Cat1 has approximately 2000 sources for field 2, keeping in mind that some of the sources are actually measured

Is there a way in javascript to plot x,y coordinates so they fall into a circle rather than a square? For example if I have the following code: circleRadius = 100; context.drawImage(img_elem, dx, dy, dw, dh); I need to figure out a combination of x,y values that would fall inside a 100 pixel circle. Thanks! nico choose an x at random between -100 and 100 a circle is defined by x^2 + y^2 = r^2 , which in your case equals 100^2 = 10000 From this equation you can get that y^2 = 10000 - x^2 , therefore the points with a chosen x and y = +/-sqrt(10000 - x^2) will lye on the circle. choose an y at

I'm trying to get a matrix of coordinate-arrays. This is different from numpy.meshgrid. For example, for a 2x2 size I'd want the 2x2x2 output [[[0,0],[0,1]], [[1,0],[1,1]]] as a numpy array. This probably looks and reads cleaner a 2x2 matrix of tuples: [[(0,0),(0,1)], [(1,0),(1,1)]] (except I don't think you can have tuples in a numpy array, and it's not the point here) This simple example can be done by switching the axes of numpy-meshgrid's output (specifically, moving the first axis to be last): np.array(np.meshgrid([0,1],[0,1])).transpose([1,2,0]) This could be easily generalized to