Refactor crossings and lat/lon conversion functions

develop
Chris Leaman 6 years ago
parent 6f215da826
commit 79d46c0433

@ -11,7 +11,7 @@ import pandas as pd
from mat4py import loadmat
from shapely.geometry import Point
from data.parse_shp import convert_coord_systems
from utils import convert_coord_systems
from logs import setup_logging
logger = setup_logging()

@ -1,38 +1,20 @@
from functools import partial
"""
This file can probably be removed since we are not reading from shp files any more
"""
import click
import fiona
import numpy as np
import pandas as pd
import pyproj
from shapely.geometry import LineString, Point
from shapely.geometry import shape
from shapely.ops import transform
from logs import setup_logging
from utils import convert_coord_systems
logger = setup_logging()
def convert_coord_systems(g1, in_coord_system="EPSG:4326", out_coord_system="EPSG:28356"):
"""
Converts coordinates from one coordinates system to another. Needed because shapefiles are usually defined in
lat/lon but should be converted to GDA to calculated distances.
https://gis.stackexchange.com/a/127432
:param in_coord_system: Default is lat/lon WGS84
:param out_coord_system: Default is GDA56 for NSW coastline
:return:
"""
project = partial(
pyproj.transform,
pyproj.Proj(init=in_coord_system), # source coordinate system
pyproj.Proj(init=out_coord_system),
) # destination coordinate system
g2 = transform(project, g1) # apply projection
return g2
def shapes_from_shp(shp_file):
"""
Parses a shape file and returns a list of shapely shapes, ids and properties

@ -1,15 +1,55 @@
import os
import yaml
from functools import partial
import numpy as np
import pyproj
from numpy import ma as ma
from shapely.ops import transform
def setup_logging(path="./src/logging.yaml", default_level=logging.INFO):
def crossings(profile_x, profile_z, constant_z):
"""
Finds the x coordinate of a z elevation for a beach profile. Much faster than using shapely to calculate
intersections since we are only interested in intersections of a constant value. Will return multiple
intersections if found. Used in calculating beach slope.
Adapted from https://stackoverflow.com/a/34745789
:param profile_x: List of x coordinates for the beach profile section
:param profile_z: List of z coordinates for the beach profile section
:param constant_z: Float of the elevation to find corresponding x coordinates
:return: List of x coordinates which correspond to the constant_z
"""
# Remove nans to suppress warning messages
valid = ~ma.masked_invalid(profile_z).mask
profile_z = np.array(profile_z)[valid]
profile_x = np.array(profile_x)[valid]
# Normalize the 'signal' to zero.
# Use np.subtract rather than a list comprehension for performance reasons
z = np.subtract(profile_z, constant_z)
# Find all indices right before any crossing.
# TODO Sometimes this can give a runtime warning https://stackoverflow.com/a/36489085
indicies = np.where(z[:-1] * z[1:] < 0)[0]
# Use linear interpolation to find intersample crossings.
return [profile_x[i] - (profile_x[i] - profile_x[i + 1]) / (z[i] - z[i + 1]) * (z[i]) for i in indicies]
# TODO Think of a better way to do this than having to manually specify the coordinate systems
def convert_coord_systems(g1, in_coord_system="EPSG:4326", out_coord_system="EPSG:28356"):
"""
Setup logging configuration
Converts coordinates from one coordinates system to another. Needed because shapefiles are usually defined in
lat/lon but should be converted to GDA to calculated distances.
https://gis.stackexchange.com/a/127432
:param in_coord_system: Default is lat/lon WGS84
:param out_coord_system: Default is GDA56 for NSW coastline
:return:
"""
if os.path.exists(path):
with open(path, "rt") as f:
config = yaml.safe_load(f.read())
logging.config.dictConfig(config)
else:
logging.basicConfig(level=default_level)
return logging.getLogger(__name__)
project = partial(
pyproj.transform,
pyproj.Proj(init=in_coord_system), # source coordinate system
pyproj.Proj(init=out_coord_system),
) # destination coordinate system
g2 = transform(project, g1) # apply projection
return g2

Loading…
Cancel
Save