From 6f0a5caa1f1969f3d16818458fcfc2527b1bdfde Mon Sep 17 00:00:00 2001 From: Chris Leaman Date: Sun, 11 Nov 2018 12:36:24 +1100 Subject: [PATCH] Add function for getting beach slope from profile --- src/data/profile_features.py | 58 ++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/src/data/profile_features.py b/src/data/profile_features.py index f81a21a..f3da959 100644 --- a/src/data/profile_features.py +++ b/src/data/profile_features.py @@ -7,6 +7,8 @@ from shapely.ops import transform import pyproj from functools import partial import numpy as np +from scipy.interpolate import interp1d +from scipy import stats def shapes_from_shp(shp_file): """ @@ -37,6 +39,62 @@ def convert_coord_systems(g1, in_coord_system='EPSG:4326', out_coord_system='EPS g2 = transform(project, g1) # apply projection return g2 + +def get_slope(x, z, top_elevation, btm_elevation, method='end_points'): + """ + Returns a slope from a bed profile + :param x: List of x bed profile coordinates + :param z: List of z bed profile coordinates + :param top_elevation: Top elevation of where to take the slope + :param btm_elevation: Bottom elevation of where to take the slope + :param method: Method used to calculate slope (end_points or least_squares) + :return: + """ + + profile_line = LineString([[x,z] for x,z in zip(x,z)]) + + end_points = { + 'top': { + 'elevation': top_elevation, + }, + 'btm': { + 'elevation': btm_elevation, + }} + + # If there are multiple intersections, take most seaward of landward point? + multiple_points = 'landward' + + for end_type in end_points.keys(): + elevation = end_points[end_type]['elevation'] + elevation_line = LineString([[min(x), elevation], [max(x), elevation]]) + intersection_points = profile_line.intersection(elevation_line) + + if intersection_points.is_empty: + return None + + if multiple_points == 'landward': + intersection_point = list(intersection_points)[0] + elif multiple_points == 'seaward': + intersection_point = list(intersection_points)[-1] + + end_points[end_type]['x'] = intersection_point.xy[0][0] + end_points[end_type]['z'] = intersection_point.xy[1][0] + + if method == 'end_points': + x_top = end_points['top']['x'] + x_btm = end_points['btm']['x'] + z_top = end_points['top']['z'] + z_btm = end_points['btm']['z'] + return -(z_top - z_btm) / (x_top - x_btm) + + elif method == 'least_squares': + profile_mask = [True if end_points['top']['x'] < pts < end_points['btm']['x'] else False for pts in x ] + profile_x = np.array(x)[profile_mask].tolist() + profile_z = np.array(z)[profile_mask].tolist() + slope, _, _, _, _ = stats.linregress(profile_x, profile_z) + return -slope + + def distance_to_intersection(lat,lon,orientation,line_strings): """ Returns the distance at whjch a line drawn from a lat/lon at an orientation intersects a line stinrg