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Quantifying local mobility patterns in urban human mobility data 量化城市人员流动数据中的地方流动模式
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-13 DOI: 10.1080/13658816.2024.2389410
Milad Malekzadeh, Darja Reuschke, Jed A. Long
Understanding fine-scale dynamics of human mobility patterns is pivotal for effective urban planning, public health strategies, and retail analysis. This study introduces a novel mobility measure –...
了解人类流动模式的微观动态对于有效的城市规划、公共卫生战略和零售分析至关重要。本研究引入了一种新颖的流动性测量方法--...
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引用次数: 0
DCAI-CLUD: a data-centric framework for the construction of land-use datasets DCAI-CLUD:以数据为中心的土地利用数据集构建框架
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-05 DOI: 10.1080/13658816.2024.2387200
Hao Wu, Zhangwei Jiang, Anning Dong, Ronghui Gao, Xiaoqin Yan, Zhihui Hu, Fengling Mao, Hong Liu, Pengxuan Li, Peng Luo, Zijin Guo, Qingfeng Guan, Yao Yao
A high-quality land-use dataset is crucial for constructing a high-performance land-use classification model. Due to the complexity and spatial heterogeneity of land-use, the dataset construction p...
高质量的土地利用数据集对于构建高性能的土地利用分类模型至关重要。由于土地利用的复杂性和空间异质性,数据集的构建过程非常复杂。
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引用次数: 0
Automatic road network selection method considering functional semantic features of roads with graph convolutional networks 利用图卷积网络考虑道路功能语义特征的自动路网选择方法
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-05 DOI: 10.1080/13658816.2024.2387198
Jianbo Tang, Min Deng, Ju Peng, Huimin Liu, Xuexi Yang, Xueying Chen
Road network selection plays a key role in map generalization for creating multi-scale road network maps. Existing methods usually determine road importance based on road geometric and topological ...
路网选择在创建多尺度路网地图的地图泛化中起着关键作用。现有方法通常根据道路的几何和拓扑结构来确定道路的重要性。
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引用次数: 0
Exploring geospatial digital twins: a novel panorama-based method with enhanced representation of virtual geographic scenes in Virtual Reality (VR) 探索地理空间数字双胞胎:一种基于全景的新方法,可增强虚拟现实(VR)中虚拟地理场景的表现力
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-08-01 DOI: 10.1080/13658816.2024.2386064
Jinbin Zhang, Jun Zhu, Yuxuan Zhou, Qing Zhu, Jianlin Wu, Yukun Guo, Pei Dang, Weilian Li, Heng Zhang
An important step in implementing geospatial digital twins is to enhance the expressiveness of virtual geographical scenes for the physical world. However, the existing virtual geographical scenes ...
实现地理空间数字孪生的一个重要步骤是增强虚拟地理场景对物理世界的表现力。然而,现有的虚拟地理场景...
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引用次数: 0
A new two-step estimation approach for retrieving surface urban heat island intensity and footprint based on urban-rural temperature gradients 基于城乡温度梯度的地表城市热岛强度和足迹检索两步估算新方法
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-30 DOI: 10.1080/13658816.2024.2385435
Anqi Zhang, Chang Xia
Past decades have seen substantial efforts devoted to observing, assessing, and documenting the urban heat island (UHI) phenomenon. However, the discrepant criteria of non-urban references and ambi...
过去几十年来,人们一直致力于观测、评估和记录城市热岛(UHI)现象。然而,非城市参照物和环境参照物的标准并不一致。
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引用次数: 0
STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation STAGE:用于轨迹生成的时空知识增强型多任务生成对抗网络(GAN)
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-29 DOI: 10.1080/13658816.2024.2381146
Zhongcai Cao, Kang Liu, Xin Jin, Li Ning, Ling Yin, Feng Lu
Individual trajectory data play a pivotal role in various application fields, such as urban planning, traffic control, and epidemic simulation. Despite the diverse means for data collection in curr...
个人轨迹数据在城市规划、交通控制和流行病模拟等多个应用领域都发挥着举足轻重的作用。尽管目前的数据收集手段多种多样,但仍有一些技术无法满足需要。
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引用次数: 0
NLA-GCL-Net: semantic segmentation of large-scale surveying point clouds based on neighborhood label aggregation (NLA) and global context learning (GCL) NLA-GCL-Net:基于邻域标签聚合(NLA)和全局上下文学习(GCL)的大规模测量点云语义分割
IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-23 DOI: 10.1080/13658816.2024.2382273
Jianhua Wang, Wenping Fan, Xueyan Song, Guobiao Yao, Mengmeng Bo, Ze Liu
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引用次数: 0
Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference 利用异构图卷积网络学习空间交互表征,用于城市土地利用推断
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-22 DOI: 10.1080/13658816.2024.2379473
Zhaoya Gong, Chenglong Wang, Yuting Chen, Bin Liu, Pengjun Zhao, Zhengzi Zhou
Urban land use is central to urban planning. With the emergence of urban big data and advances in deep learning methods, several studies have leveraged graph convolutional networks (GCNs) with loca...
城市土地利用是城市规划的核心。随着城市大数据的出现和深度学习方法的进步,一些研究利用图卷积网络(GCNs)的定位功能来分析城市土地使用情况。
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引用次数: 0
A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system 基于空间分层索引和 4D 超混沌系统的大规模矢量地图局部加密方法
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-22 DOI: 10.1080/13658816.2024.2381225
Chen Ding, Jianbo Tang, Min Deng, Huimin Liu, Xiaoming Mei
With the development of geographic information services, applications based on map data are increasing. Internet and mobile communication technologies have brought great convenience to the distribu...
随着地理信息服务的发展,基于地图数据的应用越来越多。互联网和移动通信技术为地图数据的分发带来了极大的便利。
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引用次数: 0
Visit probability and accessibility within space–time prism of activity program 活动计划时空棱镜内的访问概率和可达性
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-17 DOI: 10.1080/13658816.2024.2378066
Jing Lyu, Feixiong Liao, Soora Rasouli
Space–time prism (STP) is widely applied to measure individuals’ ability to reach opportunities given the resource limitations. The majority of STP models treat prism-based accessibility as binary ...
时空棱镜(STP)被广泛应用于衡量个人在资源限制条件下获得机会的能力。大多数 STP 模型都将基于棱镜的可达性视为二元...
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引用次数: 0
期刊
International Journal of Geographical Information Science
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