"""Air network flows map
"""
import os
import sys
from collections import OrderedDict
import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
import matplotlib.pyplot as plt
import numpy as np
from shapely.geometry import LineString
from vtra.utils import *
[docs]def main():
config = load_config()
air_edge_file = os.path.join(
config['paths']['data'], 'Results', 'Flow_shapefiles', 'weighted_edges_flows_national_air.shp')
color = '#000000'
color_by_type = {'Air Line': color}
crop_cols = ['max_rice', 'max_cash', 'max_cass', 'max_teas', 'max_maiz',
'max_rubb', 'max_swpo', 'max_acof', 'max_rcof', 'max_pepp']
ind_cols = ['max_sugar', 'max_wood', 'max_steel', 'max_constr', 'max_cement', 'max_fertil',
'max_coal', 'max_petrol', 'max_manufa', 'max_fisher', 'max_meat', 'max_tons']
columns = crop_cols + ind_cols
column_label_divisors = {c: 1 for c in columns}
legend_label = "AADF (tons/day)"
title_cols = ['Rice', 'Cashew', 'Cassava', 'Teas', 'Maize', 'Rubber', 'Sweet Potatoes', 'Coffee Arabica', 'Coffee Robusta', 'Pepper',
'Sugar', 'Wood', 'Steel', 'Construction materials', 'Cement', 'Fertilizer', 'Coal', 'Petroleum',
'Manufacturing', 'Fishery', 'Meat', 'Total tonnage']
for c in range(len(columns)):
ax = get_axes()
plot_basemap(ax, config['paths']['data'])
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, config['paths']['data'])
proj_lat_lon = ccrs.PlateCarree()
column = columns[c]
weights = [
record.attributes[column]
for record
in shpreader.Reader(air_edge_file).records()
]
max_weight = max(weights)
width_by_range = generate_weight_bins(weights)
geoms_by_range = {}
for value_range in width_by_range:
geoms_by_range[value_range] = []
for record in shpreader.Reader(air_edge_file).records():
val = record.attributes[column]
geom = record.geometry
if val > 0: # only add edges that carry this commodity
for nmin, nmax in geoms_by_range:
if nmin <= val and val < nmax:
geoms_by_range[(nmin, nmax)].append(geom)
# plot
for range_, width in width_by_range.items():
ax.add_geometries(
[geom.buffer(width) for geom in geoms_by_range[range_]],
crs=proj_lat_lon,
edgecolor='none',
facecolor=color,
zorder=2)
x_l = 102.3
x_r = x_l + 0.4
base_y = 14
y_step = 0.4
y_text_nudge = 0.1
x_text_nudge = 0.1
ax.text(
x_l,
base_y + y_step - y_text_nudge,
legend_label,
horizontalalignment='left',
transform=proj_lat_lon,
size=10)
divisor = column_label_divisors[column]
for (i, ((nmin, nmax), width)) in enumerate(width_by_range.items()):
y = base_y - (i*y_step)
line = LineString([(x_l, y), (x_r, y)])
ax.add_geometries(
[line.buffer(width)],
crs=proj_lat_lon,
linewidth=0,
edgecolor=color,
facecolor=color,
zorder=2)
if nmin == max_weight:
label = '>{:.2f}'.format(max_weight/divisor)
else:
label = '{:.2f}-{:.2f}'.format(nmin/divisor, nmax/divisor)
ax.text(
x_r + x_text_nudge,
y - y_text_nudge,
label,
horizontalalignment='left',
transform=proj_lat_lon,
size=10)
plt.title(title_cols[c], fontsize=14)
output_file = os.path.join(config['paths']['figures'],
'air_flow-map-{}.png'.format(column))
save_fig(output_file)
plt.close()
if __name__ == '__main__':
main()