
Spatial weights class. 

Spatial weights based on distance band. 

Spatial weights based on kernel functions. 

Creates nearest neighbor weights matrix based on k nearest neighbors. 

Construct a weights object from a collection of pysal polygons that share at least one vertex. 

Construct a weights object from a collection of pysal polygons that share at least one edge. 

Voronoi weights for a 2d point set 

Spatial weights class. 

Thin 

Create a networkcontiguity based weight object based on different nodal relationships encoded in a network. 

Convert a matrix denoting network connectivity (edges or flows) to a list denoting edges 

Constructs an o*d by o*d origindestination style spatial weight for o*d flows using standard spatial weights on o origins and d destinations. 

Distancebased spatial weight for vectors that is computed using a 4dimensional distance between the origin x,ycoordinates and the destination x,ycoordinates 

Construct spatial weights for regime neighbors. 

Create a W object for a regular lattice. 

Combinations of size n taken from items 

Determine the nonredundant order of contiguity up to a specific order. 

Contiguity weights object of order k. 
Find the Shimbel matrix for first order contiguity matrix. 


Remaps the IDs in a spatial weights object. 

Create a PySAL W object from a full array. 
Generate a full numpy array. 


Convert a pysal WSP object (thin weights matrix) to a pysal W object. 

Gets the IDs from the DBF file that moves with a given shape file or a geopandas.GeoDataFrame. 
Gets a data array of x and y coordinates from a given shapefile. 
Get the maximum nearest neighbor distance. 


Create a sparse W matrix for a regular lattice. 
Local clustering coefficients for each unit as a node in a graph. 


Contiguity weights for either a sparse W or W for order k. 

Create a W object for a hexagonal lattice. 

Attach nearest neighbor to islands in spatial weight w. 
Detect neighbors for nonplanar polygon collections 


Fuzzy contiguity spatial weights 
Get the maximum nearest neighbor distance between observations in the shapefile. 

Build a lattice shapefile with nrows rows and ncols cols. 


Sparse scipy matrix for w from a gal file. 

Returns a binary weights object, w, that includes all neighbor pairs that exist in either w1 or w2. 

Returns a binary weights object, w, that includes only those neighbor pairs that exist in both w1 and w2. 

Returns a binary weights object, w, that includes only neighbor pairs in w1 that are not in w2. 
Returns a binary weights object, w, that includes only neighbor pairs that are not shared by w1 and w2. 


Returns a binary weights object, w, that includes only those observations in ids. 

Clip a continuous W object (w1) with a different W object (w2) so only cells where w2 has a nonzero value remain with nonzero values in w1. 
Spatial lag operator. 


Spatial lag operator for categorical variables. 

Alphashape delineation (Edelsbrunner, Kirkpatrick & Seidel, 1983) from a collection of points … 

Computation of alphashape delineation with automated selection of alpha. 

Composite helper to return Voronoi regions and generator points as individual dataframes 
Convert a string or number to a floating point number, if possible. 

Convert a string or number to a floating point number, if possible. 


Arc distance between two points on a sphere. 

Convert an arc distance (spherical earth) to a linear distance (R3) in the unit sphere. 

valid modes are [‘arc’,’xrz’] 

Computes k nearest neighbors on a sphere. 

Find all neighbors on a sphere within a threshold distance 

Convert a linear distance in the unit sphere (R3) to an arc distance based on supplied radius 

Convert x,y,z to latitude and longitude 
Convert a point’s latitude and longitude to x,y,z 


Converts point order from latlon tuples to lonlat (x,y) tuples 

Alternative arc distance function, uses haversine formula 

Finds a point on a sphere along the great circle distance between two points on a sphere also known as a way point in great circle navigation 

Computes a k+1 by k+1 set of grid points for a bounding box in latlon uses geointerpolate 

Geometric class for point objects. 

Geometric representation of line segment objects. 

Geometric representation of line objects. 

Geometric representation of ray objects. 

Geometric representation of a chain, also known as a polyline. 

Geometric representation of polygon objects. 

Geometric representation of rectangle objects. 

Returns a pysal shape object from obj. 

Old Stars method for bounding box overlap testing Also defined in pysal.weights._cont_binning 

Find bounding box for a list of geometries 

Returns the angle formed between a pair of rays which share an origin get_angle_between(Ray, Ray) > number 

Returns whether a triplet of points is collinear. 

Returns the intersection of two segments. 
Returns the intersection of a segment and point. 


Returns the intersection of a polygon and point. 
Returns the intersection of a rectangle and point. 


Returns the intersection of a ray and line segment. 
Returns the intersection between two rectangles. 


Returns the distance between a polygon and point. 

Returns the distance between a pair of points. 

Returns the distance between a line segment and point and distance along the segment of the closest point on the segment to the point as a ratio of the length of the segment. 
Returns the point at a distance and angle relative to the origin of a ray. 


Returns the convex hull of a set of points. 

Returns whether a list of points describing a polygon are clockwise or counterclockwise. 

Returns True if the point is in the rectangle or touches it’s boundary. 

Returns the line segments in common to both polygons. 

Calculate a distance matrix 

Representation of a binning data structure. 

An abstract representation of a point indexing data structure. 

An abstract representation of a polygon indexing data structure. 

kdtree built on top of kdtree functionality in scipy. 
alias of 


Metaclass for supporting spatial data file read and write 
List available datasets 

Explain a dataset by name 


get the path for a file by searching installed datasets 