Codes for MECA-3D model to produce FU3D dataset

We develop a multi-task learning-based and end-to-end cellular automaton model for urban 3D projection (named MECA-3D). Within the MECA-3D model, the top-down component determines urban built-up volume demand based on panel data regression model and socioeconomic factors, while the bottom-up component estimates urban land suitability and built-up height by a multi-task residual neural network model. Using the MECA-3D model, for the first time, we present the global projections of future urban 3D expansion dataset (named FU3D) from 2020 to 2100 at a 1km resolution under the five Shared Socioeconomic Pathways (SSPs).<br>