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SSN (version 1.1.6)

Spatial Modeling on Stream Networks

Description

Geostatistical modeling for data on stream networks, including models based on in-stream distance. Models are created using moving average constructions. Spatial linear models, including covariates, can be fit with ML or REML. Mapping and other graphical functions are included.

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Version

Install

install.packages('SSN')

Monthly Downloads

40

Version

1.1.6

License

GPL-2

Maintainer

Jay Hoef

Last Published

August 23rd, 2015

Functions in SSN (1.1.6)

fitSimBin

Fitted glmssn object for simulated data
CrossValidationStatsSSN

Compute Summary Statistics on Crossvalidation Values for glmssn Objects
plot.glmssn.predict

Plot glmssn.predict Objects
fitSpBk

Fitted glmssn object for example data set MiddleFork.ssn
influenceSSN-class

Class "influenceSSN"
importPredpts

Import Prediction Points into a SpatialStreamNetwork or glmssn Object
copyLSN2temp

Copies the lsn directory MiddleFork04.ssn to R's temporary directory
fitSimPoi

Fitted glmssn object for simulated data
importSSN

Import an object of class SpatialStreamNetwork
summary.glmssn

Summary - S3 Method for Class 'glmssn'
SSN-package

Spatial Modeling on Stream Networks
SimulateOnSSN

Simulating Data on Spatial Stream Networks
covparms

Get Covariance Parameters
boxplot.SpatialStreamNetwork

Box-and-whisker plots for data within SpatialStreamNetwork objects.
SpatialStreamNetwork-class

Class "SpatialStreamNetwork"
plot.Torgegram

Plotting Method for Torgegram Objects
AIC

AIC for glmssn objects
MiddleFork04.ssn

MiddleFork04.ssn data folder
binSp

Fitted glmssn object for example data set MiddleFork.ssn
createSSN

Create an SpatialStreamnetwork Object
fitSimGau

Fitted glmssn object for simulated data
CrossValidationSSN

Compute Crossvalidation Values for glmssn Objects
BLUP

Compute the joint mean, variance and covariance of any random effects in a glmssn model conditional on the data
BlockPredict

Block Predicton for Streams Data
fitRE

Fitted glmssn object for example data set MiddleFork.ssn
varcomp

Variance Components for glmssn Objects
additive.function

Generate an Additive Function Value
createDistMat

Calculate Hydrologic Distances for a SpatialStreamNetwork Object
fitSp

Fitted glmssn object for example data set MiddleFork.ssn
getPreds

Extract Predictions with associated standard errors.
plot.influenceSSN

Plotting Method for influenceSSN Objects
poiSp

Fitted glmssn object for example data set MiddleFork.ssn
EmpiricalSemivariogram

Empirical Semivariogram Based on Euclidean Distance
Torgegram

Empirical Semivariogram Based on Hydrologic Distance and flow connection
plot.SpatialStreamNetwork

Plotting Method for SpatialStreamNetwork Objects
fitNS

Fitted glmssn object for example data set MiddleFork.ssn
mf04

imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
writeSSN

Write a SpatialStreamNetwork Object
subsetSSN

Subset a SpatialStreamNetwork Object
splitPredictions

Split Prediction Sets in a SpatialStreamNetwork Object
Design functions

Design functions
fitSpRE2

Fitted glmssn object for example data set MiddleFork.ssn
predict.glmssn

Calculate Predictions for Prediction Sites
fitSpRE1

Fitted glmssn object for example data set MiddleFork.ssn
updatePath

Update Path Slot in SpatialStreamNetwork Object
print.summary.glmssn

Print summary - S3 Method for Class 'glmssn'
glmssn

Fitting Generalized Linear Models for Spatial Stream Networks
residuals.glmssn

Compute Model Residuals for glmssn Objects
GR2

Generalised R2
InfoCritCompare

Compare glmssn Information Criteria
glmssn-class

Class "glmssn"
mf04p

Imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
putSSNdata.frame

putSSNdata.frame