ecoscope.analysis.speed#

Module Contents#

class ecoscope.analysis.speed.SpeedDataFrame(data=None, *args, **kwargs)[source]#

Bases: ecoscope.base.EcoDataFrame

EcoDataFrame extends geopandas.GeoDataFrame to provide customizations and allow for simpler extension.

classmethod from_trajectory(trajectory, classification_method='equal_interval', num_classes=6, bins=None, speed_colors=None)[source]#
Parameters

  • trajectory (ecoscope.base.Trajectory) –

  • classification_method (str) –

  • num_classes (int) –

  • bins (List) –

  • speed_colors (List) –

ecoscope.analysis.speed._speedmap_labels(bins)[source]#
ecoscope.analysis.speed.apply_classification(x, k, cls_method='natural_breaks', multiples=[-2, -1, 1, 2])[source]#

Function to select which classifier to apply to the speed distributed data.

Parameters

  • x (np.ndarray) – The input array to be classified. Must be 1-dimensional

  • k (int) – Number of classes required.

  • cls_method (str) – Classification method

  • multiples (Listlike) – The multiples of the standard deviation to add/subtract from the sample mean to define the bins. defaults=

ecoscope.analysis.speed.default_speed_colors = ['#1a9850', '#91cf60', '#d9ef8b', '#fee08b', '#fc8d59', '#d73027']#
ecoscope.analysis.speed.classification_methods#