城市之光 – City of Light

团队新闻 | UrbanComp团队专有知识库与大模型

新闻通知

UrbanComp团队的官网和微信公众号现已接入了大语言模型，并基于团队的研究成果构建了专有知识库。

Urban Morphology-Function Link via Explainable Graph Neural Network

研究成果

Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network

Explainable mapping of the irregular land use parcel with a data fusion deep learning model

研究成果

Title: Explainable mapping of the irregular land use parcel with a data fusion deep learning model

团队教学 | VS2022下的Qt6界面编程入门（课程设计教学录屏版）

资料下载

QT是一种热门的跨平台的C++应用程序开发框架，它提供了丰富的库和工具，允许开发者高效地创建图形用户界面（GUI）以及命令行界面的应用程序，同时支持桌面、移动和嵌入式系统。为了帮助大家更好地入门QT，我们在Bilibili平台上传了教学视频，视频作者为团队姚尧老师。

Exploring Transfer-Out Land Parcels for Urban Development Under ELC Policy in China

研究成果

Title: A Framework for Exploring “Transfer-Out” Land Parcels for Urban Development Under the Ecological Control Line (ECL) Policy in China

Individual mobility prediction by considering traveling features and historical activity chain

研究成果

Title: Individual mobility prediction by considering current traveling features and historical activity chain

Association between eye-level greenness and childhood hypertension using street view

研究成果

Title: Is there an association between eye-level greenness and childhood hypertension using street view? Findings from the Seven Northeastern Cities study in China

Urban sensing in the era of large language models

研究成果

Title: Urban sensing in the era of large language models

Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Using Trajectory Data

研究成果

Title: Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data

团队新闻 | 姚尧教授当选国际顶级期刊《Computers, Environment and Urban Systems》编委

新闻通知

近日，中国地质大学（武汉）地理与信息工程学院姚尧教授受邀担任国际知名期刊Computers, Environment and Urban System的编委。CEUS作为地理信息与城市研究领域的顶级期刊，2024年最新影响因子达到7.1，被评为中科院1区期刊，具有广泛的国际影响力。

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团队树洞

团队新闻 | UrbanComp团队专有知识库与大模型

Urban Morphology-Function Link via Explainable Graph Neural Network

Explainable mapping of the irregular land use parcel with a data fusion deep learning model

团队教学 | VS2022下的Qt6界面编程入门（课程设计教学录屏版）

Exploring Transfer-Out Land Parcels for Urban Development Under ELC Policy in China

Individual mobility prediction by considering traveling features and historical activity chain

Association between eye-level greenness and childhood hypertension using street view

Urban sensing in the era of large language models

Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Using Trajectory Data

团队新闻 | 姚尧教授当选国际顶级期刊《Computers, Environment and Urban Systems》编委