SSN2: Spatial Modeling on Stream Networks
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) <doi:10.1198/jasa.2009.ap08248>.) 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.
Version:
0.4.0
Depends:
R (≥ 2.10)
Imports:
stats,
sf,
Matrix,
generics,
tibble, graphics,
spmodel (≥
0.7.0),
RSQLite, utils,
withr,
doParallel,
filematrix,
foreach, parallel,
itertools,
iterators
Published:
2025年10月21日
Author:
Michael Dumelle
ORCID iD
[aut, cre],
Jay M. Ver Hoef [aut],
Erin Peterson [aut],
Alan Pearse [ctb],
Dan Isaak [ctb],
Ryan A. Hill [ctb],
Marc Weber [ctb]
Maintainer:
Michael Dumelle <Dumelle.Michael at epa.gov>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Linking:
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