pysal.explore.spaghetti.
NetworkF
(ntw, pointpattern, nsteps=10, permutations=99, threshold=0.5, distribution='poisson', lowerbound=None, upperbound=None)[source]¶Compute a network constrained F statistic. This requires the capability to compute a distance matrix between two point patterns. In this case one will be observed and one will be simulated.
Attributes: 


Methods
computeenvelope () 
compute upper and lower bounds of envelope 
computeobserved () 
compute the observed nearest and simulated nearest 
computepermutations () 
compute permutations of the nearest 
setbounds (nearest) 
set upper and lower bounds 
validatedistribution () 
enusure statistical distribution is supported 
__init__
(ntw, pointpattern, nsteps=10, permutations=99, threshold=0.5, distribution='poisson', lowerbound=None, upperbound=None)¶Initialize self. See help(type(self)) for accurate signature.
Methods
__init__ (ntw, pointpattern[, nsteps, …]) 
Initialize self. 
computeenvelope () 
compute upper and lower bounds of envelope 
computeobserved () 
compute the observed nearest and simulated nearest 
computepermutations () 
compute permutations of the nearest 
setbounds (nearest) 
set upper and lower bounds 
validatedistribution () 
enusure statistical distribution is supported 