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SSN (version 1.1.2)

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

1.1.2

License

GPL-2

Maintainer

Jay Hoef

Last Published

January 21st, 2014

Functions in SSN (1.1.2)

additive.function

Generate an Additive Function Value
fitSimGau

Fitted glmssn object for simulated data
covparms

Get Covariance Parameters
influenceSSN-class

Class "influenceSSN"
splitPredictions

Split Prediction Sets in a SpatialStreamNetwork Object
mf04p

Imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
glmssn-class

Class "glmssn"
Design functions

Design functions
fitSp

Fitted glmssn object for example data set MiddleFork.ssn
fitRE

Fitted glmssn object for example data set MiddleFork.ssn
updatePath

Update Path Slot in SpatialStreamNetwork Object
glmssn

Fitting Generalized Linear Models for Spatial Stream Networks
getPreds

Extract Predictions with associated standard errors.
InfoCritCompare

Compare glmssn Information Criteria
SSN-package

Spatial Modeling on Stream Networks
createSSN

Create an SpatialStreamnetwork Object
putSSNdata.frame

putSSNdata.frame
SpatialStreamNetwork-class

Class "SpatialStreamNetwork"
plot.glmssn.predict

Plot glmssn.predict Objects
plot.SpatialStreamNetwork

Plotting Method for SpatialStreamNetwork Objects
GR2

Generalised R2
SimulateOnSSN

Simulating Data on Spatial Stream Networks
writeSSN

Write a SpatialStreamNetwork Object
print.summary.glmssn

Print summary - S3 Method for Class 'glmssn'
createDistMat

Calculate Hydrologic Distances for a SpatialStreamNetwork Object
importPredpts

Import Prediction Points into a SpatialStreamNetwork or glmssn Object
plot.Torgegram

Plotting Method for Torgegram Objects
binSp

Fitted glmssn object for example data set MiddleFork.ssn
fitSpRE1

Fitted glmssn object for example data set MiddleFork.ssn
boxplot.SpatialStreamNetwork

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

Fitted glmssn object for simulated data
poiSp

Fitted glmssn object for example data set MiddleFork.ssn
CrossValidationStatsSSN

Compute Summary Statistics on Crossvalidation Values for glmssn Objects
MiddleFork04.ssn

MiddleFork04.ssn data folder
summary.glmssn

Summary - S3 Method for Class 'glmssn'
CrossValidationSSN

Compute Crossvalidation Values for glmssn Objects
mf04

imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
Torgegram

Empirical Semivariogram Based on Hydrologic Distance and flow connection
fitNS

Fitted glmssn object for example data set MiddleFork.ssn
BlockPredict

Block Predicton for Streams Data
fitSpBk

Fitted glmssn object for example data set MiddleFork.ssn
importSSN

Import an object of class SpatialStreamNetwork
residuals.glmssn

Compute Model Residuals for glmssn Objects
fitSimBin

Fitted glmssn object for simulated data
BLUP

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

Empirical Semivariogram Based on Euclidean Distance
fitSpRE2

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

Calculate Predictions for Prediction Sites
plot.influenceSSN

Plotting Method for influenceSSN Objects
varcomp

Variance Components for glmssn Objects
subsetSSN

Subset a SpatialStreamNetwork Object