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bufferPoint.py
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bufferPoint.py
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#!/usr/bin/env python3
# Use the proper idiom in the main module ...
# NOTE: See https://docs.python.org/3.11/library/multiprocessing.html#the-spawn-and-forkserver-start-methods
if __name__ == "__main__":
# This is a test suite for “geo.buffer()” with:
# A) a point that span the whole numerical range;
# B) a point that cross the equator;
# C) a point that cross the anti-meridian;
# D) a point that cross a pole;
# E) a point that cross both the equator and the anti-meridian; and
# F) a point that cross both a pole and the anti-meridian.
# Each point has a plot with both a top-down projection and a Robinson
# projection so that you can check it, along with an equirectangular plot.
# Import standard modules ...
import os
# Import special modules ...
try:
import cartopy
cartopy.config.update(
{
"cache_dir" : os.path.expanduser("~/.local/share/cartopy_cache"),
}
)
except:
raise Exception("\"cartopy\" is not installed; run \"pip install --user Cartopy\"") from None
try:
import geojson
geojson.geometry.Geometry.__init__.__defaults__ = (None, False, 12) # NOTE: See https://github.com/jazzband/geojson/issues/135#issuecomment-596509669
except:
raise Exception("\"geojson\" is not installed; run \"pip install --user geojson\"") from None
try:
import matplotlib
matplotlib.rcParams.update(
{
"backend" : "Agg", # NOTE: See https://matplotlib.org/stable/gallery/user_interfaces/canvasagg.html
"figure.dpi" : 300,
"figure.figsize" : (9.6, 7.2), # NOTE: See https://github.com/Guymer/misc/blob/main/README.md#matplotlib-figure-sizes
"font.size" : 8,
}
)
import matplotlib.pyplot
except:
raise Exception("\"matplotlib\" is not installed; run \"pip install --user matplotlib\"") from None
try:
import numpy
except:
raise Exception("\"numpy\" is not installed; run \"pip install --user numpy\"") from None
try:
import shapely
import shapely.geometry
except:
raise Exception("\"shapely\" is not installed; run \"pip install --user Shapely\"") from None
# Import my modules ...
try:
import pyguymer3
import pyguymer3.geo
import pyguymer3.image
except:
raise Exception("\"pyguymer3\" is not installed; you need to have the Python module from https://github.com/Guymer/PyGuymer3 located somewhere in your $PYTHONPATH") from None
print(f"Testing \"{pyguymer3.__path__[0]}\" ...")
# **************************************************************************
# Configure functions ...
debug = False
fill = 1.0 # [°]
fillSpace = "EuclideanSpace"
nang = 361 # [#]
simp = -1.0 # [°]
tol = 1.0e-10 # [°]
# Define points ...
points = [
(-180.0, +90.0, 1000000.0), # Satisfies test A, C, D, F
( -90.0, +45.0, 1000000.0), # Satisfies test A
( 0.0, 0.0, 1000000.0), # Satisfies test A, B
( +90.0, -45.0, 1000000.0), # Satisfies test A
(+180.0, -90.0, 1000000.0), # Satisfies test A, C, D, F
(+170.0, +10.0, 4000000.0), # Satisfies test B, C, E
(+170.0, +80.0, 4000000.0), # Satisfies test C, D, F
( 0.0, +83.0, 1000000.0), # Satisfies test C, D, F
( -90.0, -83.0, 1000000.0), # Satisfies test C, D, F
( 0.0, 0.0, 10000000.0), # Satisfies test A, B
]
# Make output directory ...
if not os.path.exists("bufferPoint"):
os.mkdir("bufferPoint")
# **************************************************************************
# Loop over points ...
for i, (lon, lat, dist) in enumerate(points):
# Determine file names ...
fname = f"bufferPoint/bufferPoint{i:d}.png"
jname = f"bufferPoint/bufferPoint{i:d}.geojson"
print(f" > Making \"{jname}\" and \"{fname}\" ...")
# Create figure ...
fg = matplotlib.pyplot.figure()
# Create axis ...
ax1 = pyguymer3.geo.add_axis(
fg,
coastlines_resolution = "c",
index = 1,
ncols = 2,
nrows = 2,
)
# Configure axis ...
pyguymer3.geo.add_map_background(ax1)
# Create axis ...
ax2 = pyguymer3.geo.add_axis(
fg,
coastlines_resolution = "c",
index = 2,
lat = lat,
lon = lon,
ncols = 2,
nrows = 2,
)
# Configure axis ...
pyguymer3.geo.add_map_background(ax2)
# Create axis ...
ax3 = fg.add_subplot(2, 2, (3, 4))
# Configure axis ...
ax3.grid()
ax3.set_aspect("equal")
ax3.set_xlabel("Longitude [°]")
ax3.set_xlim(-180.0, +180.0)
ax3.set_xticks(range(-180, 225, 45))
ax3.set_ylabel("Latitude [°]")
ax3.set_ylim(-90.0, +90.0)
ax3.set_yticks(range(-90, 135, 45))
# Create point ...
point = shapely.geometry.point.Point(lon, lat)
# Buffer Point and plot it thrice ...
buff0 = pyguymer3.geo.buffer(
point,
dist,
debug = debug,
fill = fill,
fillSpace = fillSpace,
nang = nang,
simp = simp,
tol = tol,
)
ax1.add_geometries(
pyguymer3.geo.extract_polys(buff0),
cartopy.crs.PlateCarree(),
edgecolor = (1.0, 0.0, 0.0, 1.0),
facecolor = (1.0, 0.0, 0.0, 0.5),
linewidth = 1.0,
)
ax2.add_geometries(
pyguymer3.geo.extract_polys(buff0),
cartopy.crs.PlateCarree(),
edgecolor = (1.0, 0.0, 0.0, 1.0),
facecolor = (1.0, 0.0, 0.0, 0.5),
linewidth = 1.0,
)
for poly in pyguymer3.geo.extract_polys(buff0):
coords = numpy.array(poly.exterior.coords) # [°]
ax3.plot(
coords[:, 0],
coords[:, 1],
color = (1.0, 0.0, 0.0, 1.0),
)
# Save GeoJSON ...
with open(jname, "wt", encoding = "utf-8") as fObj:
geojson.dump(
buff0,
fObj,
ensure_ascii = False,
indent = 4,
sort_keys = True,
)
# Configure figure ...
fg.suptitle(f"({lon:.1f},{lat:.1f}) buffered by {0.001 * dist:,.1f}km")
fg.tight_layout()
# Save figure ...
fg.savefig(fname)
matplotlib.pyplot.close(fg)
# Optimize PNG ...
pyguymer3.image.optimize_image(fname, strip = True)