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SSN (version 1.1.1)

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

1.1.1

License

GPL-2

Maintainer

Jay Hoef

Last Published

July 24th, 2013

Functions in SSN (1.1.1)

SimulateOnSSN

Simulating Data on Spatial Stream Networks
updatePath

Update Path Slot in SpatialStreamNetwork Object
additive.function

Generate an Additive Function Value
glmssn-class

Class "glmssn"
fitRE

Fitted glmssn object for example data set MiddleFork.ssn
fitNS

Fitted glmssn object for example data set MiddleFork.ssn
poiSp

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

Calculate Predictions for Prediction Sites
plot.influenceSSN

Plotting Method for influenceSSN Objects
residuals.glmssn

Compute Model Residuals for glmssn Objects
SSN-package

Spatial Modeling on Stream Networks
fitSimGau

Fitted glmssn object for simulated data
Design functions

Design functions
writeSSN

Write a SpatialStreamNetwork Object
fitSpRE2

Fitted glmssn object for example data set MiddleFork.ssn
covparms

Get Covariance Parameters
putSSNdata.frame

putSSNdata.frame
splitPredictions

Split Prediction Sets in a SpatialStreamNetwork Object
fitSp

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
subsetSSN

Subset a SpatialStreamNetwork Object
importSSN

Import an object of class SpatialStreamNetwork
glmssn

Fitting Generalized Linear Models for Spatial Stream Networks
summary.glmssn

Summary - S3 Method for Class 'glmssn'
mf04p

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

MiddleFork04.ssn data folder
createSSN

Create an SpatialStreamnetwork Object
fitSpBk

Fitted glmssn object for example data set MiddleFork.ssn
getPreds

Extract Predictions with associated standard errors.
Torgegram

Empirical Semivariogram Based on Hydrologic Distance and flow connection
createDistMat

Calculate Hydrologic Distances for a SpatialStreamNetwork Object
mf04

imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
plot.glmssn.predict

Plot glmssn.predict Objects
binSp

Fitted glmssn object for example data set MiddleFork.ssn
BlockPredict

Block Predicton for Streams Data
fitSpRE1

Fitted glmssn object for example data set MiddleFork.ssn
GR2

Generalised R2
CrossValidationSSN

Compute Crossvalidation Values for glmssn Objects
CrossValidationStatsSSN

Compute Summary Statistics on Crossvalidation Values for glmssn Objects
EmpiricalSemivariogram

Empirical Semivariogram Based on Euclidean Distance
importPredpts

Import Prediction Points into a SpatialStreamNetwork or glmssn Object
influenceSSN-class

Class "influenceSSN"
plot.Torgegram

Plotting Method for Torgegram Objects
BLUP

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

Compare glmssn Information Criteria
SpatialStreamNetwork-class

Class "SpatialStreamNetwork"
fitSimPoi

Fitted glmssn object for simulated data
fitSimBin

Fitted glmssn object for simulated data
varcomp

Variance Components for glmssn Objects
copyLSN2temp

Copies the lsn directory MiddleFork04.ssn to R's temporary directory
print.summary.glmssn

Print summary - S3 Method for Class 'glmssn'
AIC

AIC for glmssn objects
getSSNdata.frame

Extract data from SSN objects as a data.frame