Other packages > Find by keyword >

SSNbler  

Assemble 'SSN' Objects
View on CRAN: Click here


Download and install SSNbler package within the R console
Install from CRAN:
install.packages("SSNbler")

Install from Github:
library("remotes")
install_github("cran/SSNbler")

Install by package version:
library("remotes")
install_version("SSNbler", "1.0.1")



Attach the package and use:
library("SSNbler")
Maintained by
Erin Peterson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-25
Latest Update: 2024-09-25
Description:
Import, create and assemble data needed to fit spatial-statistical stream-network models using the 'SSN2' package for 'R'. Streams, observations, and prediction locations are represented as simple features and specific tools provided to define topological relationships between features; calculate the hydrologic distances (with flow-direction preserved) and the spatial additive function used to weight converging stream segments; and export the topological, spatial, and attribute information to an ‘SSN' (spatial stream network) object, which can be efficiently stored, accessed and analysed in ’R'. A detailed description of methods used to calculate and format the spatial data can be found in Peterson, E.E. and Ver Hoef, J.M., (2014) <doi:10.18637/jss.v056.i02>.
How to cite:
Erin Peterson (2024). SSNbler: Assemble 'SSN' Objects. R package version 1.0.1, https://cran.r-project.org/web/packages/SSNbler. Accessed 12 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited SSNbler R package
View SSNbler citation profile
Other R packages that SSNbler depends, imports, suggests or enhances
Complete documentation for SSNbler
Functions, R codes and Examples using the SSNbler R package
Full SSNbler package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

snap  
Simple Neural Application
A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend fo ...
Download / Learn more Package Citations See dependency  
mmrm  
Mixed Models for Repeated Measures
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuou ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggpolypath  
Polygons with Holes for the Grammar of Graphics
Tools for working with polygons with holes in 'ggplot2', with a new 'geom' for drawing a 'polypath' ...
Download / Learn more Package Citations See dependency  
emIRT  
EM Algorithms for Estimating Item Response Theory Models
Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) mod ...
Download / Learn more Package Citations See dependency  
visualize  
Graph Probability Distributions with User Supplied Parameters and Statistics
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. ...
Download / Learn more Package Citations See dependency  

23,171

R Packages

199,134

Dependencies

62,827

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA