dist_normalize: Distance weight methods
In fca: Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility
Description
Usage
Arguments
Value
Examples
Description
Distance weight methods
Usage
1
dist_normalize(D, d_max, imp_function, function_d_max = 0.01)
Arguments
D
numeric matrix, distance or time values
d_max
numeric, threshold for max distance
imp_function
character, type of distance weights method
function_d_max
numeric, condition for the result of the function(d_max) used to calculate beta (default = 0.01, is considered optimal for the Gaussian function)
Value
matrix, normalized distance or time values
Examples
1
dist_normalize(matrix(10), 10, "gaussian")
fca documentation built on Dec. 6, 2021, 9:06 a.m.
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Description Usage Arguments Value Examples
Description
Distance weight methods
Usage
1 | dist_normalize(D, d_max, imp_function, function_d_max = 0.01)
|
Arguments
D |
numeric matrix, distance or time values |
d_max |
numeric, threshold for max distance |
imp_function |
character, type of distance weights method |
function_d_max |
numeric, condition for the result of the function(d_max) used to calculate beta (default = 0.01, is considered optimal for the Gaussian function) |
Value
matrix, normalized distance or time values
Examples
1 | dist_normalize(matrix(10), 10, "gaussian")
|
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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