CQ/ITU zone lookups

This commit is contained in:
Ian Renton
2026-02-03 19:06:43 +00:00
parent 9241a26a47
commit 3cd1352ff3
9 changed files with 208694 additions and 9 deletions

View File

@@ -2,12 +2,136 @@ import logging
import re
from math import floor
import geopandas
from pyproj import Transformer
from shapely.geometry import Point, Polygon
TRANSFORMER_OS_GRID_TO_WGS84 = Transformer.from_crs("EPSG:27700", "EPSG:4326")
TRANSFORMER_IRISH_GRID_TO_WGS84 = Transformer.from_crs("EPSG:29903", "EPSG:4326")
TRANSFORMER_CI_UTM_GRID_TO_WGS84 = Transformer.from_crs("+proj=utm +zone=30 +ellps=WGS84", "EPSG:4326")
cq_zone_data = geopandas.GeoDataFrame.from_features(geopandas.read_file("datafiles/cqzones.geojson"))
itu_zone_data = geopandas.GeoDataFrame.from_features(geopandas.read_file("datafiles/ituzones.geojson"))
# Finds out which CQ zone a lat/lon point is in.
def lat_lon_to_cq_zone(lat, lon):
for index, row in cq_zone_data.iterrows():
polygon = Polygon(row["geometry"])
test_point = Point(lon, lat)
if polygon.contains(test_point):
return int(row["name"])
return None
# Finds out which ITU zone a lat/lon point is in.
def lat_lon_to_itu_zone(lat, lon):
for index, row in itu_zone_data.iterrows():
polygon = Polygon(row["geometry"])
test_point = Point(lon, lat)
if polygon.contains(test_point):
return int(row["name"])
return None
# Convert a Maidenhead grid reference of arbitrary precision to the lat/long of the centre point of the square.
# Returns None if the grid format is invalid.
def lat_lon_for_grid_centre(grid):
lat, lon, lat_cell_size, lon_cell_size = lat_lon_for_grid_sw_corner_plus_size(grid)
if lat is not None and lon is not None and lat_cell_size is not None and lon_cell_size is not None:
return [lat + lat_cell_size / 2.0, lon + lon_cell_size / 2.0]
else:
return None
# Convert a Maidenhead grid reference of arbitrary precision to the lat/long of the southwest corner of the square.
# Returns None if the grid format is invalid.
def lat_lon_for_grid_sw_corner(grid):
lat, lon, lat_cell_size, lon_cell_size = lat_lon_for_grid_sw_corner_plus_size(grid)
if lat is not None and lon is not None:
return [lat, lon]
else:
return None
# Convert a Maidenhead grid reference of arbitrary precision to the lat/long of the northeast corner of the square.
# Returns None if the grid format is invalid.
def lat_lon_for_grid_ne_corner(grid):
lat, lon, lat_cell_size, lon_cell_size = lat_lon_for_grid_sw_corner_plus_size(grid)
if lat is not None and lon is not None and lat_cell_size is not None and lon_cell_size is not None:
return [lat + lat_cell_size, lon + lon_cell_size]
else:
return None
# Convert a Maidenhead grid reference of arbitrary precision to lat/long, including in the result the size of the
# lowest grid square. This is a utility method used by the main methods that return the centre, southwest, and
# northeast coordinates of a grid square.
# The return type is always a tuple of size 4. The elements in it are None if the grid format is invalid.
def lat_lon_for_grid_sw_corner_plus_size(grid):
# Make sure we are in upper case so our maths works. Case is arbitrary for Maidenhead references
grid = grid.upper()
# Return None if our Maidenhead string is invalid or too short
length = len(grid)
if length <= 0 or (length % 2) != 0:
return (None, None, None, None)
lat = 0.0 # aggregated latitude
lon = 0.0 # aggregated longitude
lat_cell_size = 10.0 # Size in degrees latitude of the current cell. Starts at 10 and gets smaller as the calculation progresses
lon_cell_size = 20.0 # Size in degrees longitude of the current cell. Starts at 20 and gets smaller as the calculation progresses
# Iterate through blocks (two-character sections)
block = 0
while block * 2 < length:
if block % 2 == 0:
# Letters in this block
lon_cell_no = ord(grid[block * 2]) - ord('A')
lat_cell_no = ord(grid[block * 2 + 1]) - ord('A')
# Bail if the values aren't in range. Allowed values are A-R (0-17) for the first letter block, or
# A-X (0-23) thereafter.
max_cell_no = 17 if block == 0 else 23
if lat_cell_no < 0 or lat_cell_no > max_cell_no or lon_cell_no < 0 or lon_cell_no > max_cell_no:
return (None, None, None, None)
else:
# Numbers in this block
try:
lon_cell_no = int(grid[block * 2])
lat_cell_no = int(grid[block * 2 + 1])
except ValueError:
return (None, None, None, None)
# Bail if the values aren't in range 0-9
if lat_cell_no < 0 or lat_cell_no > 9 or lon_cell_no < 0 or lon_cell_no > 9:
return (None, None, None, None)
# Aggregate the angles
lat += lat_cell_no * lat_cell_size
lon += lon_cell_no * lon_cell_size
# Reduce the cell size for the next block, unless we are on the last cell.
if block * 2 < length - 2:
# Still have more work to do, so reduce the cell size
if block % 2 == 0:
# Just dealt with letters, next block will be numbers so cells will be 1/10 the current size
lat_cell_size = lat_cell_size / 10.0
lon_cell_size = lon_cell_size / 10.0
else:
# Just dealt with numbers, next block will be letters so cells will be 1/24 the current size
lat_cell_size = lat_cell_size / 24.0
lon_cell_size = lon_cell_size / 24.0
block += 1
# Offset back to (-180, -90) where the grid starts
lon -= 180.0
lat -= 90.0
# Return None values on maths errors
if any(x != x for x in [lat, lon, lat_cell_size, lon_cell_size]): # NaN check
return None, None, None, None
return lat, lon, lat_cell_size, lon_cell_size
# Convert a Worked All Britain or Worked All Ireland reference to a lat/lon point.
def wab_wai_square_to_lat_lon(ref):
@@ -20,7 +144,7 @@ def wab_wai_square_to_lat_lon(ref):
elif re.match(r"^W[AV][0-9]{2}$", ref):
return utm_grid_square_to_lat_lon(ref)
else:
logging.warn("Invalid WAB/WAI square: " + ref)
logging.warning("Invalid WAB/WAI square: " + ref)
return None