Learn R Programming

SSN (version 1.1.17)

Spatial Modeling on Stream Networks

Description

Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance (Ver Hoef, J.M. and Peterson, E.E., 2010. .) Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.

Copy Link

Version

Install

install.packages('SSN')

Monthly Downloads

54

Version

1.1.17

License

GPL-2

Maintainer

Jay Hoef

Last Published

February 27th, 2023

Functions in SSN (1.1.17)

AIC

AIC for glmssn objects
MiddleFork04.ssn

MiddleFork04.ssn data folder
BlockPredict

Block Predicton for Streams Data
GR2

Generalised R2
InfoCritCompare

Compare glmssn Information Criteria
CrossValidationStatsSSN

Compute Summary Statistics on Crossvalidation Values for glmssn Objects
EmpiricalSemivariogram

Empirical Semivariogram Based on Euclidean Distance
SSN-package

Spatial Modeling on Stream Networks
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
SpatialStreamNetwork-class

Class "SpatialStreamNetwork"
as.SpatialLines

Methods to convert SpatialStreamNetwork objects classes to sp classes
copyLSN2temp

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

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

Get Covariance Parameters
createDistMat

Calculate Hydrologic Distances for a SpatialStreamNetwork Object
fitSimPoi

Fitted glmssn object for simulated data
fitSp

Fitted glmssn object for example data set MiddleFork.ssn
fitRE

Fitted glmssn object for example data set MiddleFork.ssn
fitSimBin

Fitted glmssn object for simulated data
binSp

Fitted glmssn object for example data set MiddleFork.ssn
createSSN

Create an SpatialStreamnetwork Object
Torgegram

Empirical Semivariogram Based on Hydrologic Distance and flow connection
additive.function

Generate an Additive Function Value
SimulateOnSSN

Simulating Data on Spatial Stream Networks
fitNS

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

Design functions
fitSpRE1

Fitted glmssn object for example data set MiddleFork.ssn
fitSpBk

Fitted glmssn object for example data set MiddleFork.ssn
fitSimGau

Fitted glmssn object for simulated data
getConfusionMat

Extract confusion matrix for binary spatial model predictions.
fitSpRE2

Fitted glmssn object for example data set MiddleFork.ssn
importSSN

Import an object of class SpatialStreamNetwork
influenceSSN-class

Class "influenceSSN"
getPreds

Extract Predictions with associated standard errors.
getSSNdata.frame

Extract data from SSN objects as a data.frame
glmssn-class

Class "glmssn"
getStreamDistMat

Extract the stream network distance matrix from SSN objects
importPredpts

Import Prediction Points into a SpatialStreamNetwork or glmssn Object
glmssn

Fitting Generalized Linear Models for Spatial Stream Networks
plot.Torgegram

Plotting Method for Torgegram Objects
plot.SpatialStreamNetwork

Plotting Method for SpatialStreamNetwork Objects
print.summary.glmssn

Print summary - S3 Method for Class 'glmssn'
putSSNdata.frame

putSSNdata.frame
plot.influenceSSN

Plotting Method for influenceSSN Objects
plot.glmssn.predict

Plot glmssn.predict Objects
summary.glmssn

Summary - S3 Method for Class 'glmssn'
mf04p

Imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
mf04

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

Compute Model Residuals for glmssn Objects
poiSp

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

Calculate Predictions for Prediction Sites
varcomp

Variance Components for glmssn Objects
updatePath

Update Path Slot in SpatialStreamNetwork Object