sfnetwork_evaluator: Construct projection matrix for stream network
In tinyVAST: Multivariate Spatio-Temporal Models using Structural Equations
sfnetwork_evaluator R Documentation
Construct projection matrix for stream network
Description
Make sparse matrix to project from stream-network nodes
to user-supplied points
Usage
sfnetwork_evaluator(stream, loc, tolerance = 0.01)
Arguments
stream
sfnetworks object representing stream network
loc
sf object representing points to which are being projected
tolerance
error-check tolerance
Value
the sparse interpolation matrix, with rows for each row of data
supplied during fitting and columns for each spatial random effect.
tinyVAST documentation built on April 4, 2025, 2:43 a.m.
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| sfnetwork_evaluator | R Documentation |
Construct projection matrix for stream network
Description
Make sparse matrix to project from stream-network nodes to user-supplied points
Usage
sfnetwork_evaluator(stream, loc, tolerance = 0.01)
Arguments
stream |
sfnetworks object representing stream network |
loc |
sf object representing points to which are being projected |
tolerance |
error-check tolerance |
Value
the sparse interpolation matrix, with rows for each row of data
supplied during fitting and columns for each spatial random effect.
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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