Network Kernel DensityFunctions to perform Network Kernel Density estimation. 


Network Kernel density estimate 

Network Kernel density estimate (multicore) 

Bandwidth selection by Cronie and Van Lieshout's Criterion 

Bandwidth selection by Cronie and Van Lieshout's Criterion (multicore version) 

Bandwidth selection by likelihood cross validation 

Bandwidth selection by likelihood cross validation (multicore) 

Tricube kernel 

Triweight kernel 

Uniform kernel 

Cosine kernel 

Epanechnikov kernel 

Gaussian kernel 

Scaled gaussian kernel 

Quartic kernel 

triangle kernel 

Temporal Network Kernel DensityFunctions to perform Temporal Network Kernel Density estimation. 

Temporal Network Kernel density estimate 

Temporal Network Kernel density estimate (multicore) 

Bandwidth selection by likelihood cross validation for temporal NKDE 

Bandwidth selection by likelihood cross validation for temporal NKDE (multicore) 

Temporal Kernel density estimate 

Bandwidth selection for Temporal Kernel density estimate by likelihood cross validation 

Spatial weight matrices on networksFunctions to calculate spatial weight matrices on networks. 

Network distance listw 

Network distance listw (multicore) 

K functions on networksFunctions to calculate K and G functions on networks. 

Network k and g functions (maturing) 

Network k and g functions (multicore, maturing) 

Network cross k and g functions (maturing) 

Network cross k and g functions (multicore, maturing) 

Network k and g functions for spatiotemporal data (experimental, NOT READY FOR USE) 

Network k and g functions for spatiotemporal data (multicore, experimental, NOT READY FOR USE) 

Knn functions on networksFunctions to calculate K nearest neighbours on networks. 

Knearest points on network 

Knearest points on network (multicore version) 

Network buildingFunctions to build graphs. 

Network generation 

Directed network generation 

Topological error 

Simplify a network 

Split graph components 

IsochronesFunctions to calculate isochrones. 

Isochrones calculation 

Geometrical functionsFunctions to perform geometric operations. 

Build a quadtree 

Spatial request 

Find closest points 

Centre points of lines 

Get lines extremities 

Unify lines direction 

Points along lines 

Cut lines into lixels 

Cut lines into lixels (multicore) 

Split lines at vertices in a feature collection of linestrings 

LineString to simple Line 

Obtain all the bounding boxes of a feature collection 

Spatial data cleaningFunctions to clean data before spatial analysis 

Events aggregation 

Spatial functionsFunctions used for specific spatial tasks 

LineString to simple Line 

An object (c++ pointer) to do some spatial query of rectanlges (internal) 

Obtain all the bounding boxes of a feature collection 

DataSome datasets provided with the package 

Road accidents including a bicyle in Montreal in 2016 

Road network of Montreal 

Primary road network of Montreal 

Smaller subset road network of Montreal 

Libraries of Montreal 

Theatres of Montreal 

spNetwork: Spatial Analysis on Network 

The exposed function to calculate adaptive bandwidth with spacetime interaction for TNKDE (INTERNAL) 

The exposed function to calculate adaptive bandwidth with spacetime interaction for TNKDE (INTERNAL) 

c++ cross g function 

c++ cross k function 

The worker function to calculate continuous TNKDE likelihood cv 

The worker function to calculate continuous TNKDE likelihood cv 

The worker function to calculate discontinuous TNKDE likelihood cv 

The worker function to calculate discontinuous TNKDE likelihood cv 

The worker function to calculate continuous TNKDE likelihood cv (adaptive case) 

c++ g function 

c++ k function 

The exposed function to calculate NKDE likelihood cv 

The exposed function to calculate TNKDE likelihood cv 

The exposed function to calculate TNKDE likelihood cv 

Worker function fo Bandwidth selection by likelihood cross validation for temporal NKDE 

Worker function for adaptive bandwidth for TNDE 

Bandwidth selection for Temporal Kernel density estimate by likelihood cross validation 