Weather & Climate

Spatial-temporal climate modeling, temperature interpolation, and geostatistical analysis using SPDE-based Gaussian random fields.

Two-Part Application

SPDE Temperature Modeling

Collect GHCN weather station data, build a triangular mesh, fit an SPDE spatial model with pyINLA using elevation as covariate, and generate temperature predictions with uncertainty maps.

Open the application

Space-Time Temperature Modeling

Extend the spatial SPDE approach to space-time: model temperature evolution across both geography and time using separable or non-separable spatio-temporal covariance structures.

Coming soon