jayverhoef/SSNbd: Spatial Modeling for Big Data Sets on Stream Networks

Spatial statistical modeling and prediction for big data sets 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.

Getting started

Package details

MaintainerJay Ver Hoef <ver.hoef@SpatialStreamNetworks.com>
LicenseGPL-2
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jayverhoef/SSNbd")
jayverhoef/SSNbd documentation built on April 1, 2020, 8:06 a.m.