Simulating Data on Spatial Stream Networks
Update Path Slot in SpatialStreamNetwork Object
Generate an Additive Function Value
Class "glmssn"
Fitted glmssn object for example data set MiddleFork.ssn
Fitted glmssn object for example data set MiddleFork.ssn
Fitted glmssn object for example data set MiddleFork.ssn
Calculate Predictions for Prediction Sites
Plotting Method for influenceSSN Objects
Compute Model Residuals for glmssn Objects
Spatial Modeling on Stream Networks
Fitted glmssn object for simulated data
Design functions
Write a SpatialStreamNetwork Object
Fitted glmssn object for example data set MiddleFork.ssn
Get Covariance Parameters
putSSNdata.frame
Split Prediction Sets in a SpatialStreamNetwork Object
Fitted glmssn object for example data set MiddleFork.ssn
boxplot.SpatialStreamNetwork
Box-and-whisker plots for data within SpatialStreamNetwork objects.
plot.SpatialStreamNetwork
Plotting Method for SpatialStreamNetwork Objects
Subset a SpatialStreamNetwork Object
Import an object of class SpatialStreamNetwork
Fitting Generalized Linear Models for Spatial Stream Networks
Summary - S3 Method for Class 'glmssn'
Imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
MiddleFork04.ssn data folder
Create an SpatialStreamnetwork Object
Fitted glmssn object for example data set MiddleFork.ssn
Extract Predictions with associated standard errors.
Empirical Semivariogram Based on Hydrologic Distance and flow connection
Calculate Hydrologic Distances for a SpatialStreamNetwork Object
imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
Plot glmssn.predict Objects
Fitted glmssn object for example data set MiddleFork.ssn
Block Predicton for Streams Data
Fitted glmssn object for example data set MiddleFork.ssn
Generalised R2
Compute Crossvalidation Values for glmssn Objects
Compute Summary Statistics on Crossvalidation Values for glmssn Objects
Empirical Semivariogram Based on Euclidean Distance
Import Prediction Points into a SpatialStreamNetwork or glmssn Object
Class "influenceSSN"
Plotting Method for Torgegram Objects
Compute the joint mean, variance and covariance of any random effects
in a glmssn model conditional on the data
Compare glmssn
Information Criteria
SpatialStreamNetwork-class
Class "SpatialStreamNetwork"
Fitted glmssn object for simulated data
Fitted glmssn object for simulated data
Variance Components for glmssn Objects
Copies the lsn directory MiddleFork04.ssn to R's temporary directory
Print summary - S3 Method for Class 'glmssn'
AIC for glmssn objects
Extract data from SSN objects as a data.frame