popIntensity: Computes the local population intensity for all groups based...
In biamouras/accSeg: Functions for my MSc analysis
Description
Usage
Arguments
Value
Author(s)
References
Description
Computes the local population intensity for all groups based on a time/distance matrix.
Usage
1
popIntensity(matrix, pop, bandwidth = 60, weightmethod = "gaussian")
Arguments
matrix
A data frame with travel time/distance matrix (origin, destination, travel_time).
pop
A data frame structured as id and columns with number of population for each group.
bandwidth
A numeric bandwidth for neighborhood (same unit of matrix). Defaults to 60 (minutes).
weightmethod
A string object to choose the method to be used: gaussian , bi-square and moving window.
Defaults to gaussian.
Value
A data frame with population intensity for all groups.
Author(s)
Beatriz Moura dos Santos
References
Smith, Goodchild & Longley (2018).
Geospatial Analysis. A Comprehensive Guide to PrinciplesTechniques and Software Tools.
https://www.spatialanalysisonline.com/HTML/index.html
biamouras/accSeg documentation built on Nov. 19, 2020, 8:07 a.m.
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Description Usage Arguments Value Author(s) References
Description
Computes the local population intensity for all groups based on a time/distance matrix.
Usage
1 | popIntensity(matrix, pop, bandwidth = 60, weightmethod = "gaussian")
|
Arguments
matrix |
A data frame with travel time/distance matrix (origin, destination, travel_time). |
pop |
A data frame structured as id and columns with number of population for each group. |
bandwidth |
A numeric bandwidth for neighborhood (same unit of matrix). Defaults to 60 (minutes). |
weightmethod |
A string object to choose the method to be used: gaussian , bi-square and moving window. Defaults to gaussian. |
Value
A data frame with population intensity for all groups.
Author(s)
Beatriz Moura dos Santos
References
Smith, Goodchild & Longley (2018). Geospatial Analysis. A Comprehensive Guide to PrinciplesTechniques and Software Tools. https://www.spatialanalysisonline.com/HTML/index.html
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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