""" Author: Sergey Vartanov (me@enzet.ru) Geo projection. """ from typing import Optional import numpy as np from roentgen.util import MinMax EQUATOR_LENGTH: float = 40_075_017 # (in meters) def pseudo_mercator(coordinates: np.array) -> np.array: """ Use spherical pseudo-Mercator projection to convert geo coordinates into plane. :param coordinates: geo positional in the form of (latitude, longitude) :return: position on the plane in the form of (x, y) """ return np.array((coordinates[1], 180 / np.pi * np.log( np.tan(np.pi / 4 + coordinates[0] * (np.pi / 180) / 2)))) def osm_zoom_level_to_pixels_per_meter(zoom_level: float): """ Convert OSM zoom level (see https://wiki.openstreetmap.org/wiki/Zoom_levels) to pixels per meter on Equator. """ return 2 ** zoom_level / 156415 class Flinger: """ Convert geo coordinates into SVG position points. """ def __init__( self, geo_boundaries: MinMax, scale: float = 18, border: np.array = np.array((0, 0))): """ :param geo_boundaries: minimum and maximum latitude and longitude :param scale: OSM zoom level """ self.geo_boundaries: MinMax = geo_boundaries self.border = border self.ratio: float = ( osm_zoom_level_to_pixels_per_meter(scale) * EQUATOR_LENGTH / 360) self.size: np.array = self.ratio * ( pseudo_mercator(self.geo_boundaries.max_) - pseudo_mercator(self.geo_boundaries.min_)) + border * 2 self.pixels_per_meter = osm_zoom_level_to_pixels_per_meter(scale) self.size: np.array = self.size.astype(int).astype(float) def fling(self, coordinates: np.array) -> np.array: """ Convert geo coordinates into SVG position points. :param coordinates: vector to fling """ result: np.array = self.ratio * ( pseudo_mercator(coordinates) - pseudo_mercator(self.geo_boundaries.min_)) + self.border # Invert y axis on coordinate plane. result[1] = self.size[1] - result[1] return result def get_scale(self, coordinates: Optional[np.array] = None) -> float: """ Return pixels per meter ratio for the given geo coordinates. :param coordinates: geo coordinates """ if coordinates is None: # Get pixels per meter ratio for the center of the boundary box. coordinates = self.geo_boundaries.center() scale_factor: float = 1 / np.cos(coordinates[0] / 180 * np.pi) return self.pixels_per_meter * scale_factor