Consider a meteorological experiment that measures the temperature of a set of buoys located on a rectangular grid at sea. We can emulate such an experiment by indicating the longitude and latitude of the buoys on a grid of 16 × 16 locations, and random temperatures on them between say 36ºF and 46ºF:
In [1]: import numpy as np, matplotlib.pyplot as plt, \ ...: matplotlib.cm as cm; \ ...: from mpl_toolkits.basemap import Basemap In [2]: map1 = Basemap(projection='ortho', lat_0=20, lon_0=-60, \ ...: resolution='l', area_thresh=1000.0); \ ...: map2 = Basemap(projection='merc', lat_0=20, lon_0=-60, \ ...: resolution='l', area_thresh=1000.0, \ ...: llcrnrlat=0, urcrnrlat=45, \ ...: llcrnrlon=-75, urcrnrlon=-15) In [3]: longitudes = np.linspace(-60, -30, 16); \ ...: latitudes = np.linspace(15, 30, 16); \ ...: lons, lats = np.meshgrid(longitudes, latitudes); \ ...: temperatures = 10. * np.random...