Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

Agricultural spatial analysis and modelling integrate geospatial technologies, crop simulation techniques and statistical methodologies to illuminate the complex interactions within agricultural ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...

As 5G and artificial intelligence (AI) become true cornerstones of virtual/augmented realities, businesses are beginning to see the emergence of significant and meaningful applications based on these ...

A groundbreaking AI model, GenCast, is revolutionizing weather forecasting by generating rapid, probabilistic global ...