Package: SSNbler 1.1.1

SSNbler: Assemble 'SSN' Objects

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>.

Authors:Erin Peterson [aut, cre], Michael Dumelle [aut], Alan Pearse [aut], Dan Teleki [ctb], Jay M. Ver Hoef [ctb]

SSNbler_1.1.1.tar.gz
SSNbler_1.1.1.zip(r-4.7)SSNbler_1.1.1.zip(r-4.6)SSNbler_1.1.1.zip(r-4.5)
SSNbler_1.1.1.tgz(r-4.6-any)SSNbler_1.1.1.tgz(r-4.5-any)
SSNbler_1.1.1.tar.gz(r-4.7-any)SSNbler_1.1.1.tar.gz(r-4.6-any)
SSNbler_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SSNbler/json (API)
NEWS

# Install 'SSNbler' in R:
install.packages('SSNbler', repos = c('https://pet221.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pet221/ssnbler/issues

Datasets:
  • MF_CapeHorn - MF_CapeHorn: Prediction locations on Cape Horn Creek, in the Middle Fork Basin, Idaho.
  • MF_obs - MF_obs: Water temperature observations in the Middle Fork Basin, Idaho in 2004.
  • MF_pred1km - MF_pred1km: Prediction locations at 1km intervals throughout the Middle Fork Basin, Idaho.
  • MF_preds - MF_preds: A small set of prediction locations found in the Middle Fork Basin, Idaho.
  • MF_streams - MF_streams: Middle Fork streams

On CRAN:

Conda:

5.23 score 12 stars 28 scripts 236 downloads 10 exports 47 dependencies

Last updated from:a72fcb5168. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK185
source / vignettesOK247
linux-release-x86_64OK189
macos-release-arm64OK226
macos-oldrel-arm64OK160
windows-develOK299
windows-releaseOK340
windows-oldrelOK284
wasm-releaseOK140

Exports:accum_edgesafv_edgesafv_sitescopy_streams_to_templines_to_lsnsites_to_lsnssn_assemblessn_checkupdist_edgesupdist_sites

Dependencies:bitbit64blobcachemclassclassIntclicodetoolscpp11DBIdoParalleldplyre1071fastmapfilematrixforeachgenericsglueigraphiteratorsitertoolsKernSmoothlatticelifecyclemagrittrMASSMatrixmemoisepdistpillarpkgconfigproxyR6RcpprlangRSQLites2sfspmodelSSN2tibbletidyselectunitsutf8vctrswithrwk

An Introduction to 'SSNbler': Assembling Spatial Stream Network (SSN) Objects in R

Erin E Peterson, Michael Dumelle, Alan R Pearse, Dan Teleki, and Jay M Ver Hoef

Rendered fromintroduction.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2025-03-26
Started: 2024-04-29