Package: SSNbler 1.0.1

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]

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SSNbler.pdf |SSNbler.html✨
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NEWS

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

Peer review:

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:

5.48 score 5 stars 6 scripts 222 downloads 11 exports 43 dependencies

Last updated 2 months agofrom:2be937f1cb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:accum_edgesafv_edgesafv_sitescopy_streams_to_templines_to_lsnlines_to_lsn_tempsites_to_lsnssn_assemblessn_checkupdist_edgesupdist_sites

Dependencies:bitbit64blobcachemclassclassIntclicpp11DBIdplyre1071fansifastmapgenericsglueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixmemoisepdistpillarpkgconfigplogrproxyR6RcpprlangRSQLites2sfspmodelSSN2tibbletidyselectunitsutf8vctrswithrwk

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 Oct 31 2024.

Last update: 2024-09-23
Started: 2024-04-29