UrbanComp
  • 首页
  • 新闻通知
  • 研究成果
    • 城市模型 (Urban Modeling)
    • 城市监测 (Urban Monitoring)
    • 健康城市 (Urban Health)
    • 城市分析 (Urban Project)
    • 地理模拟 (Urban Simulation)
    • 会议论文 (Conference Paper)
  • 软著专利
  • 在研课题
  • 专题展示
  • 软件下载
  • 资料下载
  • 团队成员
  • 团队服务
    • 团队飞书
    • 团队邮箱
    • GitLab(团队用)
    • 科研计算平台
    • 云文件存储服务
    • GeoAI 学习资料库
  • 项目服务
    • 数据共享和展示平台
    • 可计算乡村平台
    • 经济态势预测系统
    • DEV境外主机服务
    • AWS境外云主机服务
    • CN-MSLU-100K数据集
  • 关于我们
    • 树洞(团队BBS)
    • HeyWhale 和鲸课堂
    • 团队手把手教程(视频)
    • 学术报告视频集(回放)
    • 招生和联系方式

城市模型 (Urban Modeling)

Urban region representation learning incorporating transition, spatial, and temporal perspectives

Title: Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives


AED location selection considering myocardial infarction risk and medical resources

Title: Automated external defibrillator location selection considering myocardial infarction risk and medical resources


DCAI-CLUD: a data-centric framework for the construction of land-use datasets

Title: DCAI-CLUD: a data-centric framework for the construction of land-use datasets


HashGAT-VCA: A VCA model with hash function and graph attention network for land-use simulation

Title: HashGAT-VCA: A vector cellular automata model with hash function and graph attention network for urban land-use change simulation


A multimodal data fusion model for accurate urban land use mapping with uncertainty analysis

Title: A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis


Temporal-VCA: Simulating urban land use change using coupled temporal data and VCA

Title: Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata


Graph convolutional networks for street network analysis with a case study of urban polycentricity

Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities


Predicting short-term PM2.5 at fine temporal resolutions using a multi-branch temporal GCN network

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

Title:Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a


Fine-grained regional economic forecasting for a megacity using vector-based cellular automata

Fine-grained regional economic forecasting for a megacity using vector-based cellular automata


Powered by Halo • Crafted with by LIlGG

© 2026 UrbanComp   鄂ICP备19030362号-1   鄂公网安备42018502007187号

UrbanComp

  • 首页
  • 新闻通知
  • 研究成果
    • 城市模型 (Urban Modeling)
    • 城市监测 (Urban Monitoring)
    • 健康城市 (Urban Health)
    • 城市分析 (Urban Project)
    • 地理模拟 (Urban Simulation)
    • 会议论文 (Conference Paper)
  • 软著专利
  • 在研课题
  • 专题展示
  • 软件下载
  • 资料下载
  • 团队成员
  • 团队服务
    • 团队飞书
    • 团队邮箱
    • GitLab(团队用)
    • 科研计算平台
    • 云文件存储服务
    • GeoAI 学习资料库
  • 项目服务
    • 数据共享和展示平台
    • 可计算乡村平台
    • 经济态势预测系统
    • DEV境外主机服务
    • AWS境外云主机服务
    • CN-MSLU-100K数据集
  • 关于我们
    • 树洞(团队BBS)
    • HeyWhale 和鲸课堂
    • 团队手把手教程(视频)
    • 学术报告视频集(回放)
    • 招生和联系方式

© 2026 UrbanComp

输入后按回车搜索 ...

切换主题颜色 | SCHEME TOOL