我试图理解为什么在北极或南极立体投影中的六边形图显示的是六角形,即使网格的面积为正方形且投影的面积大致相等。
我已经使用底图尝试了北极和南极的立体投影。
import numpy as np
from numpy.random import uniform
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
fig = plt.figure(figsize=(12,10)) # width, height in inches
ax =fig.add_axes([-0.02,0.1,0.74,0.74])
m = Basemap(epsg='3413',lon_0=0.,resolution='l',width=6000000,height=6000000)
m.drawcoastlines()
m.drawmapscale(0.,90.,0.,90.,1000)
npts=2000
lats = uniform(60.,80.,size=npts)
lons = uniform(0.,360.,size=npts)
data = uniform(0.,4800.,size=npts)
x,y=m(lons, lats)
thiscmap=plt.cm.get_cmap('viridis')
p=m.hexbin(x,y,C=data,gridsize=[10,10],cmap=thiscmap)
plt.show()
答案 0 :(得分:0)
我不知道你为什么得到squashed hexagons
。但是您可以通过设置gridsize
的适当值来调整六边形形状。在这里,我修改了您的代码并获得了更好的绘图。
import numpy as np
from numpy.random import uniform
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
fig = plt.figure(figsize=(12,10)) # width, height in inches
ax =fig.add_axes([-0.02, 0.1, 0.74, 0.74])
# North polar stereographic projection epsg='3413'; ***large areal distortion***
#m = Basemap(epsg='3413', lon_0=0., resolution='c', width=6000000, height=6000000)
# 'laea': Lambert Azimuthal Equal Area
# Thematic mapping with ground surface data should be plotted on 'equal-area' projection
m = Basemap(projection='laea', lon_0=0., lat_0=90, resolution='l', width=6000000, height=6000000)
m.drawcoastlines(linewidth=0.5)
m.drawmapscale(0.,90.,0.,90.,1000) # 1000 km?
npts = 2000
lats = uniform(60.,80.,size=npts) # not cover N pole
lons = uniform(0.,360.,size=npts) # around W to E
data = uniform(0.,4800.,size=npts)
x,y = m(lons, lats)
thiscmap = plt.cm.get_cmap('viridis')
# To get 'rounded' hexagons, gridsize should be specified appropriately
# need some trial and error to get them right
#p=m.hexbin(x, y, C=data, gridsize=[10,10], cmap=thiscmap) # original code
m.hexbin(x, y, C=data, gridsize=[16,11], cmap=thiscmap) # better
plt.colorbar() # useful on thematic map
plt.show()
您使用的投影(epsg:3413)是具有较大面失真的立体投影。在这种情况下,更适合主题映射的投影是Lambert Azimuthal Equal Area
。
结果图: