A wrapper class for GeoDaWeight class
gda_w
An object of GeoDaWeight
is_symmetric
If weights matrix is symmetric
sparsity
Sparsity of weights matrix
density
Density of weights matrix
min_neighbors
Minimum number of neighbors
max_neighbors
Maximum number of neighbors
num_obs
Number of observations
mean_neighbors
Mean number of neighbors
median_neighbors
Median number of neighbors
has_isolations
If the weights matrix has any isolations
GetDensity()
Get density computed from weights matrix
GetNeighborWeights(idx)
Get weights values of neighbors for idx-th observation, idx starts from 0
GetNeighbors(idx)
Get neighbors for idx-th observation, idx starts from 0
GetPointer()
Get the C++ object pointer (internally used)
GetSparsity()
Get sparsity computed from weights matrix
HasIsolations()
Check if weights matrix has isolates, or if any observation has no neighbors
IsSymmetric()
Check if weights matrix is symmetric
SaveToFile(out_path, layer_name, id_name, id_values)
Save current spatial weights to a file.
out_path: The path of an output weights file
layer_name : The name of the layer of input dataset
id_name : The id name (or field name), which is an associated column contains unique values, that makes sure that the weights are connected to the correct observations in the data table.
id_values : The tuple of values of selected id_name (column/field)
SpatialLag(idx, values)
Compute spatial lag values of idx-th observation, idx starts from 0
initialize(o_gda_w)
Constructor with a GeoDaWeight object (internally used)
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