compute_metric: Compute the pullback metric tensor from an sf data frame and...

In PhilChodrow/compx: Analyze the spatial complexity of compositional data

Description

Compute the pullback metric tensor from an sf data frame and an accompanying set of demographic data.

Usage

compute_metric(tracts, data, km = T, r_sigma = 100, s_sigma = 1,
  smooth = F, hessian = euc_)

Arguments

tracts	the sf data.frame supplying geographic information
data	the tibble supplying demographic data
km	whether to compute rectangular distances in km
r_sigma	regression smoother for derivative computation
s_sigma	geographic smoother for derivative computation
smooth	boolean should a geographic smoother be used for derivatives?
hessian	the hessian function to be used, one of c(DKL_, euc_, cum_euc_)

Value

a tibble in which each row has a list-column containing the pullback metric tensor stored as a matrix.

PhilChodrow/compx documentation built on May 8, 2019, 1:34 a.m.