libpysal.weights.W(neighbors[, weights, …]) |
Spatial weights class. |
libpysal.weights.DistanceBand(data, threshold) |
Spatial weights based on distance band. |
libpysal.weights.Kernel(data[, bandwidth, …]) |
Spatial weights based on kernel functions. |
libpysal.weights.KNN(data[, k, p, ids, …]) |
Creates nearest neighbor weights matrix based on k nearest neighbors. |
libpysal.weights.Queen(polygons, **kw) |
Construct a weights object from a collection of pysal polygons that share at least one vertex. |
libpysal.weights.Rook(polygons, **kw) |
Construct a weights object from a collection of pysal polygons that share at least one edge. |
libpysal.weights.Voronoi(points[, …]) |
Voronoi weights for a 2-d point set |
libpysal.weights.W(neighbors[, weights, …]) |
Spatial weights class. |
libpysal.weights.WSP(sparse[, id_order]) |
Thin W class for spreg. |
libpysal.weights.netW(link_list[, share, …]) |
Create a network-contiguity based weight object based on different nodal relationships encoded in a network. |
libpysal.weights.mat2L(edge_matrix) |
Convert a matrix denoting network connectivity (edges or flows) to a list denoting edges |
libpysal.weights.ODW(Wo, Wd[, transform, …]) |
Constructs an o*d by o*d origin-destination style spatial weight for o*d flows using standard spatial weights on o origins and d destinations. |
libpysal.weights.vecW(origin_x, origin_y, …) |
Distance-based spatial weight for vectors that is computed using a 4-dimensional distance between the origin x,y-coordinates and the destination x,y-coordinates |
libpysal.weights.block_weights(regimes[, …]) |
Construct spatial weights for regime neighbors. |
libpysal.weights.lat2W([nrows, ncols, rook, …]) |
Create a W object for a regular lattice. |
libpysal.weights.comb(items[, n]) |
Combinations of size n taken from items |
libpysal.weights.order(w[, kmax]) |
Determine the non-redundant order of contiguity up to a specific order. |
libpysal.weights.higher_order(w[, k]) |
Contiguity weights object of order k. |
libpysal.weights.shimbel(w) |
Find the Shimbel matrix for first order contiguity matrix. |
libpysal.weights.remap_ids(w, old2new[, …]) |
Remaps the IDs in a spatial weights object. |
libpysal.weights.full2W(m[, ids]) |
Create a PySAL W object from a full array. |
libpysal.weights.full(w) |
Generate a full numpy array. |
libpysal.weights.WSP2W(wsp, **kwargs) |
Convert a pysal WSP object (thin weights matrix) to a pysal W object. |
libpysal.weights.get_ids(in_shps, idVariable) |
Gets the IDs from the DBF file that moves with a given shape file or a geopandas.GeoDataFrame. |
libpysal.weights.get_points_array_from_shapefile(…) |
Gets a data array of x and y coordinates from a given shapefile. |
libpysal.weights.min_threshold_distance(data) |
Get the maximum nearest neighbor distance. |
libpysal.weights.lat2SW([nrows, ncols, …]) |
Create a sparse W matrix for a regular lattice. |
libpysal.weights.w_local_cluster(w) |
Local clustering coefficients for each unit as a node in a graph. |
libpysal.weights.higher_order_sp(w[, k, …]) |
Contiguity weights for either a sparse W or W for order k. |
libpysal.weights.hexLat2W([nrows, ncols]) |
Create a W object for a hexagonal lattice. |
libpysal.weights.attach_islands(w, w_knn1, …) |
Attach nearest neighbor to islands in spatial weight w. |
libpysal.weights.nonplanar_neighbors(w, …) |
Detect neighbors for non-planar polygon collections |
libpysal.weights.fuzzy_contiguity(gdf[, …]) |
Fuzzy contiguity spatial weights |
libpysal.weights.min_threshold_dist_from_shapefile(…) |
Get the maximum nearest neighbor distance between observations in the shapefile. |
libpysal.weights.build_lattice_shapefile(…) |
Build a lattice shapefile with nrows rows and ncols cols. |
libpysal.weights.spw_from_gal(galfile) |
Sparse scipy matrix for w from a gal file. |
libpysal.weights.w_union(w1, w2, **kwargs) |
Returns a binary weights object, w, that includes all neighbor pairs that exist in either w1 or w2. |
libpysal.weights.w_intersection(w1, w2[, …]) |
Returns a binary weights object, w, that includes only those neighbor pairs that exist in both w1 and w2. |
libpysal.weights.w_difference(w1, w2[, …]) |
Returns a binary weights object, w, that includes only neighbor pairs in w1 that are not in w2. |
libpysal.weights.w_symmetric_difference(w1, w2) |
Returns a binary weights object, w, that includes only neighbor pairs that are not shared by w1 and w2. |
libpysal.weights.w_subset(w1, ids, **kwargs) |
Returns a binary weights object, w, that includes only those observations in ids. |
libpysal.weights.w_clip(w1, w2[, outSP]) |
Clip a continuous W object (w1) with a different W object (w2) so only cells where w2 has a non-zero value remain with non-zero values in w1. |
libpysal.weights.lag_spatial(w, y) |
Spatial lag operator. |
libpysal.weights.lag_categorical(w, y[, ties]) |
Spatial lag operator for categorical variables. |
libpysal.cg.alpha_shape(xys, alpha) |
Alpha-shape delineation (Edelsbrunner, Kirkpatrick & Seidel, 1983) from a collection of points … |
libpysal.cg.alpha_shape_auto(xys[, step, …]) |
Computation of alpha-shape delineation with automated selection of alpha. |
libpysal.cg.voronoi_frames(points[, radius, …]) |
Composite helper to return Voronoi regions and generator points as individual dataframes |
libpysal.cg.RADIUS_EARTH_KM |
Convert a string or number to a floating point number, if possible. |
libpysal.cg.RADIUS_EARTH_MILES |
Convert a string or number to a floating point number, if possible. |
libpysal.cg.arcdist(pt0, pt1[, radius]) |
Arc distance between two points on a sphere. |
libpysal.cg.arcdist2linear(arc_dist[, radius]) |
Convert an arc distance (spherical earth) to a linear distance (R3) in the unit sphere. |
libpysal.cg.brute_knn(pts, k[, mode]) |
valid modes are [‘arc’,’xrz’] |
libpysal.cg.fast_knn(pts, k[, return_dist]) |
Computes k nearest neighbors on a sphere. |
libpysal.cg.fast_threshold(pts, dist[, radius]) |
Find all neighbors on a sphere within a threshold distance |
libpysal.cg.linear2arcdist(linear_dist[, radius]) |
Convert a linear distance in the unit sphere (R3) to an arc distance based on supplied radius |
libpysal.cg.toLngLat(xyz) |
Convert x,y,z to latitude and longitude |
libpysal.cg.toXYZ(pt) |
Convert a point’s latitude and longitude to x,y,z |
libpysal.cg.lonlat(pointslist) |
Converts point order from lat-lon tuples to lon-lat (x,y) tuples |
libpysal.cg.harcdist(p0, p1[, lonx, radius]) |
Alternative arc distance function, uses haversine formula |
libpysal.cg.geointerpolate(p0, p1, t[, lonx]) |
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 |
libpysal.cg.geogrid(pup, pdown, k[, lonx]) |
Computes a k+1 by k+1 set of grid points for a bounding box in lat-lon uses geointerpolate |
libpysal.cg.Point(loc) |
Geometric class for point objects. |
libpysal.cg.LineSegment(start_pt, end_pt) |
Geometric representation of line segment objects. |
libpysal.cg.Line(m, b) |
Geometric representation of line objects. |
libpysal.cg.Ray(origin, second_p) |
Geometric representation of ray objects. |
libpysal.cg.Chain(vertices) |
Geometric representation of a chain, also known as a polyline. |
libpysal.cg.Polygon(vertices[, holes]) |
Geometric representation of polygon objects. |
libpysal.cg.Rectangle(left, lower, right, upper) |
Geometric representation of rectangle objects. |
libpysal.cg.asShape(obj) |
Returns a pysal shape object from obj. |
libpysal.cg.bbcommon(bb, bbother) |
Old Stars method for bounding box overlap testing Also defined in pysal.weights._cont_binning |
libpysal.cg.get_bounding_box(items) |
Find bounding box for a list of geometries |
libpysal.cg.get_angle_between(ray1, ray2) |
Returns the angle formed between a pair of rays which share an origin get_angle_between(Ray, Ray) -> number |
libpysal.cg.is_collinear(p1, p2, p3) |
Returns whether a triplet of points is collinear. |
libpysal.cg.get_segments_intersect(seg1, seg2) |
Returns the intersection of two segments. |
libpysal.cg.get_segment_point_intersect(seg, pt) |
Returns the intersection of a segment and point. |
libpysal.cg.get_polygon_point_intersect(poly, pt) |
Returns the intersection of a polygon and point. |
libpysal.cg.get_rectangle_point_intersect(…) |
Returns the intersection of a rectangle and point. |
libpysal.cg.get_ray_segment_intersect(ray, seg) |
Returns the intersection of a ray and line segment. |
libpysal.cg.get_rectangle_rectangle_intersection(r0, r1) |
Returns the intersection between two rectangles. |
libpysal.cg.get_polygon_point_dist(poly, pt) |
Returns the distance between a polygon and point. |
libpysal.cg.get_points_dist(pt1, pt2) |
Returns the distance between a pair of points. |
libpysal.cg.get_segment_point_dist(seg, pt) |
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. |
libpysal.cg.get_point_at_angle_and_dist(ray, …) |
Returns the point at a distance and angle relative to the origin of a ray. |
libpysal.cg.convex_hull(points) |
Returns the convex hull of a set of points. |
libpysal.cg.is_clockwise(vertices) |
Returns whether a list of points describing a polygon are clockwise or counterclockwise. |
libpysal.cg.point_touches_rectangle(point, rect) |
Returns True if the point is in the rectangle or touches it’s boundary. |
libpysal.cg.get_shared_segments(poly1, poly2) |
Returns the line segments in common to both polygons. |
libpysal.cg.distance_matrix(X[, p, threshold]) |
Distance Matrices |
libpysal.cg.Grid(bounds, resolution) |
Representation of a binning data structure. |
libpysal.cg.PointLocator(points) |
An abstract representation of a point indexing data structure. |
libpysal.cg.PolygonLocator(polygons) |
An abstract representation of a polygon indexing data structure. |
libpysal.cg.KDTree(data[, leafsize, …]) |
kd-tree built on top of kd-tree functionality in scipy. |
libpysal.io.open |
alias of libpysal.io.fileio.FileIO |
libpysal.io.fileio.FileIO([dataPath, mode, …]) |
Metaclass for supporting spatial data file read and write |
libpysal.examples.available([verbose]) |
List available datasets |
libpysal.examples.explain(name) |
Explain a dataset by name |
libpysal.examples.get_path(example_name[, raw]) |
Get path of example folders |