pygeoda.kernel_knn_weights¶
- pygeoda.kernel_knn_weights(geoda_obj, k, kernel, **kwargs)[source]¶
K-NN Kernel Spatial Weights Create a kernel weights by specifying k-nearest neighbors and a kernel method
- Parameters
geoda_obj (geoda) – An instance of geoda class.
k (int) – a positive integer number for k-nearest neighbors
kernel (str) – A string value, which has to be one of {‘triangular’, ‘uniform’, ‘epanechnikov’, ‘quartic’, ‘gaussian’}
Adaptive_bandwidth (bool, optional) – True(default) or False: True - use adaptive bandwidth calculated using distance of k-nearest neithbors, False - use max distance of all observation to their k-nearest neighbors
use_kernel_diagonals (bool, optional) – A bool flag indicates whether or not the lower order neighbors should be included in the weights structure. Defaults to False.
is_inverse (bool, optional) – A bool flag indicates whether or not to apply inverse on distance value. Defaults to False.
power (float, optional) – The power (or exponent) of a number indicates how many times to use the number in a multiplication.
is_arc (bool, optional) – A bool flag indicates if compute arc distance or Euclidean distance. Defaults to False (Euclidean distance)
is_mile (bool, optional) – A bool flag indicates if the distance unit is mile or km. Defaults to True (mile).
- Returns
An instance of Weight class
- Return type