Andrew Zammit Mangion

STRbook. Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie

FRK. Fixed Rank Kriging with big data

deepIDE. Deep IDE Models for Spatio-Temporal Forecasting

STRbook_Labs. TeX

MVST. An R-Software package for multi-variate spatio-temporal modelling

deepspat. Deep Compositional Spatial Models

SBNN. Repository for reproducing results in paper "Spatial Bayesian Neural Networks"

oco2-frk. Reproducible code for Remote Sensing article

EFDR. Enhanced False Discovery Rate

SpatialMultiScale. Reproducible code for the paper "Multi-Scale Process Modelling and Distributed Computation for Spatial Data"

afgwardiary. Replication code for the AWD paper (PNAS)

spherePP. Code for reproducing the application case study of the paper "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport" by James Ng and Andrew Zammit-Mangion

Amortised_Neural_Inference_Review. Source code for reproducing the results in the ARSIA paper "Neural Methods for Amortised Statistical Inference"

bicon. Bivariate modelling using the conditional approach

dggrids. Discrete Global Grids in data frame format for use in R (and Fixed Rank Kriging in particular)

IDE. Integro-difference equation spatio-temporal modelling

WRSEL. Weighted Rank Squared Error Loss

sparseinv. Creates a wrapper for the SuiteSparse routines in C that us the Takahashi equations to compute the elements of the inverse of a sparse matrix at locations where the (permuted) Cholesky factor is non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions (like the permuted Cholesky factorisation) are also implemented. Support for spam matrices is currently limited and will be implemented in the future.

STREAMWebsite. Website for the STREAM Research Group