def NormCoords(lista, NORM): # Recibe una lista de coordenadas
from pyproj.aoi import AreaOfInterest
from pyproj.database import query_utm_crs_info
from pyproj import CRS
from pyproj import Proj
import math
import numpy as np
import pandas as pd
Lat = np.array(lista)[:, 0]
Long = np.array(lista)[:, 1]
utm_crs_list = query_utm_crs_info(
datum_name="WGS 84",
area_of_interest=AreaOfInterest(
west_lon_degree=Lat.mean(),
south_lat_degree=Long.mean(),
east_lon_degree=Lat.mean(),
north_lat_degree=Long.mean(),
),
)
utm_crs = CRS.from_epsg(utm_crs_list[0].code)
myProj = Proj(utm_crs_list[0].name)
UTMx, UTMy = myProj(Long, Lat, inverse=False)
MxLon = UTMx.max()
MnLon = UTMx.min()
MxLat = UTMy.max()
MnLat = UTMy.min()
bx = (UTMx.max() - UTMx.min())
by = (UTMy.max() - UTMy.min())
NormLon = []
NormLat = []
for i in range(0, len(UTMx)):
NormLon.append((UTMx[i] - MxLon) * NORM / bx + NORM)
NormLat.append((UTMy[i] - MxLat) * NORM / by + NORM)
Info = []
for i in range(0, len(NormLon)):
Info.append([NormLon[i], NormLat[i]])
return (Info)
def estimate_utm_crs(self, datum_name="WGS 84"):
"""Returns the estimated UTM CRS based on the bounds of the dataset.
.. versionadded:: 0.2
.. note:: Requires pyproj 3+
Parameters
----------
datum_name : str, optional
The name of the datum to use in the query. Default is WGS 84.
Returns
-------
rasterio.crs.CRS
"""
# pylint: disable=import-outside-toplevel
try:
from pyproj.aoi import AreaOfInterest
from pyproj.database import query_utm_crs_info
except ImportError:
raise RuntimeError(
"pyproj 3+ required for estimate_utm_crs.") from None
if self.crs is None:
raise RuntimeError("crs must be set to estimate UTM CRS.")
# ensure using geographic coordinates
if self.crs.is_geographic:
minx, miny, maxx, maxy = self.bounds(recalc=True)
else:
minx, miny, maxx, maxy = self.transform_bounds("EPSG:4326",
recalc=True)
x_center = np.mean([minx, maxx])
y_center = np.mean([miny, maxy])
utm_crs_list = query_utm_crs_info(
datum_name=datum_name,
area_of_interest=AreaOfInterest(
west_lon_degree=x_center,
south_lat_degree=y_center,
east_lon_degree=x_center,
north_lat_degree=y_center,
),
)
try:
return CRS.from_epsg(utm_crs_list[0].code)
except IndexError:
raise RuntimeError("Unable to determine UTM CRS") from None
def test_query_utm_crs_info__aoi_contains():
aoi = BBox(west=41, south=50, east=42, north=51)
crs_info_list = query_utm_crs_info(
area_of_interest=AreaOfInterest(
west_lon_degree=aoi.west,
south_lat_degree=aoi.south,
east_lon_degree=aoi.east,
north_lat_degree=aoi.north,
),
contains=True,
)
assert crs_info_list
for crs_info in crs_info_list:
assert BBox(*crs_info.area_of_use.bounds).contains(aoi)
assert "UTM zone" in crs_info.name
assert crs_info.auth_name == "EPSG"
assert crs_info.type == PJType.PROJECTED_CRS
assert not crs_info.deprecated
def test_query_utm_crs_info__aoi_datum_name(datum_name):
aoi = BBox(west=-93.581543, south=42.032974, east=-93.581543, north=42.032974)
crs_info_list = query_utm_crs_info(
datum_name=datum_name,
area_of_interest=AreaOfInterest(
west_lon_degree=aoi.west,
south_lat_degree=aoi.south,
east_lon_degree=aoi.east,
north_lat_degree=aoi.north,
),
)
assert len(crs_info_list) == 1
crs_info = crs_info_list[0]
bbox = BBox(*crs_info.area_of_use.bounds)
assert bbox.intersects(aoi)
assert "UTM zone" in crs_info.name
assert datum_name.replace(" ", "") in crs_info.name.replace(" ", "")
assert crs_info.auth_name == "EPSG"
assert crs_info.type == PJType.PROJECTED_CRS
assert not crs_info.deprecated
def estimate_utm_crs(self, datum_name="WGS 84"):
"""Returns the estimated UTM CRS based on the bounds of the dataset.
.. versionadded:: 0.9
.. note:: Requires pyproj 3+
Parameters
----------
datum_name : str, optional
The name of the datum to use in the query. Default is WGS 84.
Returns
-------
pyproj.CRS
Examples
--------
>>> world = geopandas.read_file(
... geopandas.datasets.get_path("naturalearth_lowres")
... )
>>> germany = world.loc[world.name == "Germany"]
>>> germany.geometry.estimate_utm_crs() # doctest: +SKIP
<Projected CRS: EPSG:32632>
Name: WGS 84 / UTM zone 32N
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: World - N hemisphere - 6°E to 12°E - by country
- bounds: (6.0, 0.0, 12.0, 84.0)
Coordinate Operation:
- name: UTM zone 32N
- method: Transverse Mercator
Datum: World Geodetic System 1984
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich
"""
try:
from pyproj.aoi import AreaOfInterest
from pyproj.database import query_utm_crs_info
except ImportError:
raise RuntimeError("pyproj 3+ required for estimate_utm_crs.")
if not self.crs:
raise RuntimeError("crs must be set to estimate UTM CRS.")
minx, miny, maxx, maxy = self.total_bounds
# ensure using geographic coordinates
if not self.crs.is_geographic:
lon, lat = Transformer.from_crs(self.crs,
"EPSG:4326",
always_xy=True).transform(
(minx, maxx, minx, maxx),
(miny, miny, maxy, maxy))
x_center = np.mean(lon)
y_center = np.mean(lat)
else:
x_center = np.mean([minx, maxx])
y_center = np.mean([miny, maxy])
utm_crs_list = query_utm_crs_info(
datum_name=datum_name,
area_of_interest=AreaOfInterest(
west_lon_degree=x_center,
south_lat_degree=y_center,
east_lon_degree=x_center,
north_lat_degree=y_center,
),
)
try:
return CRS.from_epsg(utm_crs_list[0].code)
except IndexError:
raise RuntimeError("Unable to determine UTM CRS")
