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SSN (version 1.1.7)

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

54

Version

1.1.7

License

GPL-2

Maintainer

Jay Hoef

Last Published

March 17th, 2016

Functions in SSN (1.1.7)

BlockPredict

Block Predicton for Streams Data
fitSp

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

Box-and-whisker plots for data within SpatialStreamNetwork objects.
mf04p

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

Compute Model Residuals for glmssn Objects
glmssn-class

Class "glmssn"
fitNS

Fitted glmssn object for example data set MiddleFork.ssn
fitSimBin

Fitted glmssn object for simulated data
fitSpRE1

Fitted glmssn object for example data set MiddleFork.ssn
Design functions

Design functions
poiSp

Fitted glmssn object for example data set MiddleFork.ssn
AIC

AIC for glmssn objects
plot.glmssn.predict

Plot glmssn.predict Objects
InfoCritCompare

Compare glmssn Information Criteria
SSN-package

Spatial Modeling on Stream Networks
covparms

Get Covariance Parameters
putSSNdata.frame

putSSNdata.frame
plot.influenceSSN

Plotting Method for influenceSSN Objects
mf04

imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
createSSN

Create an SpatialStreamnetwork Object
additive.function

Generate an Additive Function Value
fitSpBk

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

Class "influenceSSN"
plot.Torgegram

Plotting Method for Torgegram Objects
SimulateOnSSN

Simulating Data on Spatial Stream Networks
copyLSN2temp

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

Calculate Hydrologic Distances for a SpatialStreamNetwork Object
subsetSSN

Subset a SpatialStreamNetwork Object
summary.glmssn

Summary - S3 Method for Class 'glmssn'
writeSSN

Write a SpatialStreamNetwork Object
CrossValidationSSN

Compute Crossvalidation Values for glmssn Objects
CrossValidationStatsSSN

Compute Summary Statistics on Crossvalidation Values for glmssn Objects
Torgegram

Empirical Semivariogram Based on Hydrologic Distance and flow connection
fitSimPoi

Fitted glmssn object for simulated data
fitRE

Fitted glmssn object for example data set MiddleFork.ssn
importSSN

Import an object of class SpatialStreamNetwork
updatePath

Update Path Slot in SpatialStreamNetwork Object
importPredpts

Import Prediction Points into a SpatialStreamNetwork or glmssn Object
splitPredictions

Split Prediction Sets in a SpatialStreamNetwork Object
EmpiricalSemivariogram

Empirical Semivariogram Based on Euclidean Distance
MiddleFork04.ssn

MiddleFork04.ssn data folder
plot.SpatialStreamNetwork

Plotting Method for SpatialStreamNetwork Objects
binSp

Fitted glmssn object for example data set MiddleFork.ssn
print.summary.glmssn

Print summary - S3 Method for Class 'glmssn'
fitSimGau

Fitted glmssn object for simulated data
fitSpRE2

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

Calculate Predictions for Prediction Sites
varcomp

Variance Components for glmssn Objects
BLUP

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

Class "SpatialStreamNetwork"
GR2

Generalised R2
getPreds

Extract Predictions with associated standard errors.
glmssn

Fitting Generalized Linear Models for Spatial Stream Networks