w_sim: Simulate a symmetric binary spatial weights matrix
In loganstundal/spatialhelpers: Convenience functions for working with spatial data
Description
Usage
Arguments
Value
Examples
Description
Simulate a symmetric binary spatial weights matrix
Usage
1
w_sim(n, cutoff = 0.2)
Arguments
n
The number of observations to include
cutoff
A threshold above which observations are no longer considered
neighbors. Observations are sampled in a (-1, 1) grid space. The default
cutoff is a distance of 0.2
Value
A simulated symmetric spatial weights matrix based on sampled
observations from a unit-grid.
Examples
1
w_sim(20)
loganstundal/spatialhelpers documentation built on Dec. 21, 2021, 11:46 a.m.
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Description Usage Arguments Value Examples
Description
Simulate a symmetric binary spatial weights matrix
Usage
1 | w_sim(n, cutoff = 0.2)
|
Arguments
n |
The number of observations to include |
cutoff |
A threshold above which observations are no longer considered neighbors. Observations are sampled in a (-1, 1) grid space. The default cutoff is a distance of 0.2 |
Value
A simulated symmetric spatial weights matrix based on sampled observations from a unit-grid.
Examples
1 | w_sim(20)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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