File:Parallel Mesh Generation Around the world.png
Additional Assets
Script to generate it :
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import matplotlib.pyplot as plt
fig=plt.figure(figsize=[15,10])
ax = plt.axes(projection=ccrs.Robinson())
ax.add_feature(cfeature.LAND,facecolor='lightgrey')
#ax.add_feature(cfeature.OCEAN)
ax.add_feature(cfeature.COASTLINE)
ax.add_feature(cfeature.BORDERS)
# make the map global rather than have it zoom in to
# the extents of any plotted data
#ax.set_global()
#ax.set_extent([-160,160,-90,90])
#https://stackoverflow.com/a/25421922
transform = ccrs.PlateCarree()._as_mpl_transform(ax)
for key, value in places.items():
print(key)
lon,lat,x,y = value
# add marker
plt.plot(lon,lat, marker='D',color='red',markersize=3,transform=ccrs.Geodetic())
# add text
plt.annotate(key,xy=(lon,lat), xytext=(x,y),arrowprops=dict(arrowstyle="->",color='red'),xycoords=transform)
# Save the plot by calling plt.savefig() BEFORE plt.show()
#plt.savefig('map.svg')
plt.savefig('map.png',dpi=200,bbox_inches='tight')
plt.show()Sample data:
places = dict()
- Paris,Saclay INRIA
lat = 48.73668 lon = 2.180034 x = lon -25 y = lat -5 places['INRIA'] = [lon,lat,x,y]
- Swansea
lat = 51.6214 lon = -3.9436 x = lon - 30 y = lat - 1 places['Swansea'] = [lon,lat,x,y]
- London Imperial
lat = 51.5074 lon = -0.1278 x = lon -40 y = lat + 2 places['Imperial'] = [ lon,lat,x,y]
- Belgium, Université catholique de Louvain
lat = 50.85045 lon = 4.34878 x = lon -45 y = lat -3 places['UCLouvain'] = [lon,lat,x,y]
- Fairfax
lat = 38.8321946 lon = -77.308036 x = lon +7 y = lat -3 places['GMU'] = [lon,lat,x,y]
- Troy
lat = 42.7302 lon = -73.6788 x = lon +15 y = lat +1 places['RPI'] = [lon,lat,x,y]
- NASA LaRC
lon = -76.385486 lat = 37.096157 x = lon +15 y = lat -8 places['LaRC'] = [lon,lat,x,y]
- ODU
lat= 36.8466667 lon = -76.2855556 x = lon +15 y = lat -15 places['ODU'] = [lon,lat,x,y]
- St. Louis
lat = 38.627003 lon = -90.199402 x = lon -15 y = lat +5 places['Boeing'] = [lon,lat,x,y]
- UTexas , Austin
lat = 30.2672 lon = -97.7431 x = lon - 8 y = lat - 15 places['UTexas'] = [lon,lat,x,y]
- Alburquerque
lat = 35.106766 lon =-106.629181 x = lon -15 y = lat +5 places['Sandia'] = [lon,lat,x,y]
- British Columbia , vancouver
lat = 49.2827 lon = -123.1207 x= lon +10 y = lat +2 places['British Columbia'] = [ lon,lat,x,y]
- Santiago Chile
lon = -70.6666667 lat = -33.45 x = lon -20 y = lat places['UChile'] = [lon,lat,x,y]
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:41, 10 September 2018 | | 2,372 × 1,226 (542 KB) | Ctsolakis (talk | contribs) | |
| 18:21, 6 September 2018 |  | 1,794 × 1,557 (319 KB) | Ctsolakis (talk | contribs) | ||
| 18:06, 6 September 2018 |  | 1,794 × 1,581 (323 KB) | Ctsolakis (talk | contribs) |
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