Moran Eigenvector-Based Scalable Spatial Additive Mixed Models

Functions for estimating spatial additive mixed models and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate Gaussian process modeling which is interpretable in terms of the Moran coefficient. The GP is used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2020) .


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install.packages("spmoran")

0.2.1 by Daisuke Murakami, 7 months ago


Browse source code at https://github.com/cran/spmoran


Authors: Daisuke Murakami <[email protected]>


Documentation:   PDF Manual  


Task views: Analysis of Spatial Data


GPL (>= 2) license


Imports sp, fields, vegan, Matrix, doParallel, foreach, ggplot2, spdep, rARPACK, RColorBrewer, splines, methods

Suggests R.rsp, rgdal


See at CRAN