The framework for joint Gaussian spatial processes (FJGS) is a hierarchical multivariate joint spatially-explicit Gaussian linear model to capture and quantify both shared spatial effects and the individual effects from explanatory variables. The algorithm is based on a meta-bayes approach used to optimise joint parameters. Computation codes based on Sahu's R package bmstdr.

Description of the algorithm and application to joint malaria and malaria vectors in 'Joint spatial modelling of malaria incidence and vector's abundance shows heterogeneity in malaria-vector geographical relationships' by Kouame et al. (Journal of Applied Ecology https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2664.14565)