This project aims to develop a geographical model-based intelligent prediction system for crowd flow simulation and emergency decision support in disasters, effectively leveraging Digital Twin data. To accurately predict crowd flow changes, we will construct a sophisticated prediction model that integrates comprehensive data from geographical environment, disaster dynamics, and crowd movement trajectories. Digital Twin technology will be strategically utilized as a rich data source and a powerful virtual simulation platform.

Title: LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data

Title: A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks

我们团队的新版PPT模板正式与大家见面了！ PPT模板版权为中国地质大学（武汉）高性能空间计算智能实验室所有。

QGIS软件是基于QT5开发的GIS系统，其易用性及其高效性使其已经成为当下极具竞争力的GIS系统，其占有率足以与Esri的ArcGIS等主流GIS软件分庭抗礼。QGIS软件因其开源特性也使得其广受广大GIS开发者的青睐。为了帮助大家更好地入门QGIS二次开发，团队本科生袁林在指导老师姚尧帮助下撰写了本篇教程。