Graph convolutional networks for street network analysis with a case study of urban polycentricity 研究成果 Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities
矢量地块级模拟和分析软件集(UrbanVCA和VecLI)教学视频 资料下载 视频介绍为了帮助大家更好地理解和使用我们之前发布的基于矢量元胞自动机的城市土地利用模拟系统软件(UrbanVCA)和支持矢量数据的景观指数计算(VecLI)的系统,我们已经专门在Bilibili平台上发布了详细的软件操作学习视频。由于这些系统的操作难度较大,很多用户都在寻找相关的学习资料。因此,我们
Applicability and sensitivity analysis of vector cellular automata model for land cover change 研究成果 Urbanization-induced land cover changes significantly impact ecological environments and socioeconomic growth. Vector-based cellular automata
Predicting short-term PM2.5 at fine temporal resolutions using a multi-branch temporal GCN network 研究成果 Title:Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural networkAbstract
Predicting the locations of missing persons in China by using NGO data and deep learning techniques 研究成果 Title:Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a
会议通知 | 第五届空间数据智能学术会议SpatialDI 2024 投稿延期 新闻通知 为进一步促进空间数据智能研究的理论发展与应用,交流相关领域的新理论、新问题、新方法,ACM SIGSPATIAL中国分会创办了空间数据智能学术会议(SpatialDI)。
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata 研究成果 Fine-grained regional economic forecasting for a megacity using vector-based cellular automata