Moran Eigenvector-Based 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 (2021) .


Reference manual

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0.2.2 by Daisuke Murakami, a month ago

Browse source code at

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, FNN, methods

Suggests R.rsp, rgdal

See at CRAN