minnesota: Minnesota Road Network
In gasper: Graph Signal Processing
minnesota R Documentation
Minnesota Road Network
Description
A dataset representing the Minnesota road network along with two associated synthetic signals.
Usage
minnesota
Format
A list with 5 elements:
-
xy A matrix indicating the spatial location of each node.
-
sA A sparse matrix representation of the road network's adjacency matrix.
-
f1 Synthetic signal generated with parameters \eta = 0.01 and k = 2.
-
f2 Synthetic signal generated with parameters \eta = 0.001 and k = 4.
-
labels A character vector with labels that represent various points of entry, border crossings, and notable cities within Minnesota, with some nodes possibly lacking specific location identifiers.
Details
The Minnesota roads graph represents a planar structure consisting of 2642 vertices and 6606 edges.
The signals come from the referenced paper generated using randsignal with parameters \eta=0.01, k=2 and \eta=0.001,k=4.
Source
D. Gleich. The MatlabBGL Matlab library.
References
de Loynes, B., Navarro, F., Olivier, B. (2021). Data-driven thresholding in denoising with Spectral Graph Wavelet Transform. Journal of Computational and Applied Mathematics, Vol. 389.
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| minnesota | R Documentation |
Minnesota Road Network
Description
A dataset representing the Minnesota road network along with two associated synthetic signals.
Usage
minnesota
Format
A list with 5 elements:
-
xyA matrix indicating the spatial location of each node. -
sAA sparse matrix representation of the road network's adjacency matrix. -
f1Synthetic signal generated with parameters\eta = 0.01andk = 2. -
f2Synthetic signal generated with parameters\eta = 0.001andk = 4. -
labelsA character vector with labels that represent various points of entry, border crossings, and notable cities within Minnesota, with some nodes possibly lacking specific location identifiers.
Details
The Minnesota roads graph represents a planar structure consisting of 2642 vertices and 6606 edges.
The signals come from the referenced paper generated using randsignal with parameters \eta=0.01, k=2 and \eta=0.001,k=4.
Source
D. Gleich. The MatlabBGL Matlab library.
References
de Loynes, B., Navarro, F., Olivier, B. (2021). Data-driven thresholding in denoising with Spectral Graph Wavelet Transform. Journal of Computational and Applied Mathematics, Vol. 389.
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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