pyufunc.calc_distance_on_unit_haversine#

pyufunc.calc_distance_on_unit_haversine(lon1, lat1, lon2, lat2, unit='km')#

Calculate the great-circle distance between multiple pairs of points on the Earth’s surface specified in decimal degrees using the Haversine formula.

Parameters:

  • lon1 (np.ndarray) – the longitudes of the first points

  • lat1 (np.ndarray) – the latitudes of the first points

  • lon2 (np.ndarray) – the longitudes of the second points

  • lat2 (np.ndarray) – the latitudes of the second points

  • unit (str, optional) – the unit for the distance (‘meter’, ‘km’, ‘mile’). Defaults to “km”.

Returns:

an array of distances between each pair of points.

Return type:

np.ndarray

Example

>>> import numpy as np
>>> lon1 = np.array([-0.1276474, -0.1276474])
>>> lat1 = np.array([51.5073219, 51.5073219])
>>> lon2 = np.array([-1.9026911, -1.9026911])
>>> lat2 = np.array([52.4796992, 52.4796992])
>>> calc_distance_on_unit_haversine(lon1, lat1, lon2, lat2)
array([162.66049634, 162.66049634])
Returns:

A numpy array of distances between each pair of points.