I have a series of points, of right ascension and declination values. These points correspond to the vertices of a polygon on the surface of a sphere.
What would be the best way to calculate the area enclosed by these points? I would assume that converting the points with an equal-area projection, and then carrying out typical polygonal area calculating on a flat surface would be an appropriate solution.
note: I cannot use custom python libraries. eg pyproj or shapely
Example code (works for latitude longitude, what modifications would be required to enure this works with sky coordinates?)
def reproject(latitude, longitude):
"""Returns the x & y coordinates in metres using a sinusoidal projection"""
from math import pi, cos, radians
earth_radius = 6371009
lat_dist = pi * earth_radius / 180.0
y = [lat * lat_dist for lat in latitude]
x = [long * lat_dist * cos(radians(lat))
for lat, long in zip(latitude, longitude)]
return x, y
def area_of_polygon(x, y):
"""Calculates the area of an arbitrary polygon given its vertices"""
area = 0.0
for i in xrange(-1, len(x)-1):
area += x[i] * (y[i+1] - y[i-1])
return abs(area) / 2.0
dec = [-15.,89.,89.,-15.,-15.]
ra = [105.,105.,285.,285.,105.]
x,y = reproject(dec, ra)
print area_of_polygon(x,y)