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Automatic sketch map creation from labeled planar graph 根据标注的平面图自动绘制草图
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-03-22 DOI: 10.1080/13658816.2024.2330064
Petr Rapant, Marek Menšík, Adam Albert
Maps constructed in Euclidean space are commonly used to visually present information about the real world. However, their creation is resource intensive, be it financial, technical, human, or time...
在欧几里得空间构建的地图通常用于直观地展示现实世界的信息。然而,绘制地图需要耗费大量资源,无论是资金、技术、人力还是时间...
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引用次数: 0
SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation SPASTC:用于可扩展旅行时间计算的空间分区算法
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-03-13 DOI: 10.1080/13658816.2024.2326445
A. C. Michels, J. Park, J.-Y. Kang, S. Wang
Travel-time computation with large transportation networks is often computationally intensive for two main reasons: 1) large computer memory is required to handle large networks; and 2) calculating...
大型交通网络的旅行时间计算通常需要大量计算,主要原因有两个:1) 处理大型网络需要大量的计算机内存;2) 计算大型交通网络的旅行时间需要大量的计算资源。
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引用次数: 0
Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities 用于街道网络分析的图卷积网络与中国城市多中心案例研究
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-29 DOI: 10.1080/13658816.2024.2321229
Ding Ma, Fangning He, Yang Yue, Renzhong Guo, Tianhong Zhao, Mingshu Wang
Graph theory effectively explains urban structures via street–street connectivity. However, systematic comparisons of street structures across cities remain challenging. This study employs graph co...
图论通过街道与街道之间的连通性有效地解释了城市结构。然而,对不同城市的街道结构进行系统比较仍具有挑战性。本研究利用图论来解释城市结构。
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引用次数: 0
Geo-SigSPM: mining geographically interesting and significant sequential patterns from trajectories Geo-SigSPM:从轨迹中挖掘具有地理意义的重要序列模式
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-29 DOI: 10.1080/13658816.2024.2320149
Anshu Zhang, Wenzhong Shi, Zhewei Liu, Xiaolin Zhou
Interesting sequential patterns in human movement trajectories can provide valuable knowledge for urban management, planning, and location-based business. Existing methods for mining such patterns,...
人类运动轨迹中有趣的序列模式可为城市管理、规划和基于位置的业务提供宝贵的知识。现有的挖掘此类模式的方法...
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引用次数: 0
An urban cellular automata model based on a spatiotemporal non-stationary neighborhood 基于时空非稳态邻域的城市蜂窝自动机模型
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-29 DOI: 10.1080/13658816.2024.2321223
Haoran Zeng, Haijun Wang, Bin Zhang
Spatiotemporal modeling has long been a major concern of geographic information science. Even though previous research has shown the importance of temporal and spatial information in quantifying th...
时空建模一直以来都是地理信息科学关注的主要问题。尽管以往的研究已经表明,时空信息在量化地理信息系统中的重要性。
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引用次数: 0
A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods 可与地理信息系统交互的受洪水知识制约的大型语言模型:增强公众对洪水的风险认知
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-06 DOI: 10.1080/13658816.2024.2306167
Jun Zhu, Pei Dang, Yungang Cao, Jianbo Lai, Yukun Guo, Ping Wang, Weilian Li
Public’s rational flood mitigation behaviors depend on accurate perception of flood risks. The use of natural language for flood risk perception is an effective approach, and it is critical to ensu...
公众的理性防洪减灾行为取决于对洪水风险的准确认知。使用自然语言进行洪水风险感知是一种有效的方法,而确保洪水风险感知的准确性则至关重要。
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引用次数: 0
Simulating human mobility with a trajectory generation framework based on diffusion model 利用基于扩散模型的轨迹生成框架模拟人类流动性
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-06 DOI: 10.1080/13658816.2024.2312199
Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu
Most mobility modeling methods are designed to solve specific tasks, leading to questions regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we proposed a T...
大多数移动性建模方法都是为解决特定任务而设计的,这就导致了其通用性不足的问题。受基础模型绽放的启发,我们提出了T...
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引用次数: 0
Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections 将土地类型的时空共同演化模式与细胞自动机相结合,提高土地利用预测的可靠性
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-06 DOI: 10.1080/13658816.2024.2314575
Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao
Land use and land cover change (LUCC) simulation aids the interpretation of the causes and consequences of future landscape dynamics under various scenarios, which in turn supports policy decisions...
土地利用和土地覆被变化(LUCC)模拟有助于解释各种情景下未来景观动态的原因和后果,进而支持政策决策...
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引用次数: 0
Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network 利用多分支时间图卷积神经网络预测精细时间分辨率下的 PM2.5 短期浓度
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-02 DOI: 10.1080/13658816.2024.2310737
Qingfeng Guan, Jingyi Wang, Shuliang Ren, Huan Gao, Zhewei Liang, Junyi Wang, Yao Yao
Predicting PM2.5 concentrations at an hourly temporal resolution in urban areas can provide key information for public health protection. The spatiotemporal dependency among monitoring stations and...
以每小时的时间分辨率预测城市地区的 PM2.5 浓度可为公共健康保护提供关键信息。各监测站之间的时空依赖性和对空气质量的影响,都会影响PM2.5的预测。
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引用次数: 0
A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance 在极端范围差异背景下估算社会经济普查指标的多瞥深度学习架构
IF 5.7 1区 地球科学 Q1 Social Sciences Pub Date : 2024-02-01 DOI: 10.1080/13658816.2024.2305636
Dan Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O’Brien, Heather Baier
Convolutional Neural Networks (CNNs) are leveraged for a wide range of satellite imagery information extraction tasks. However, for tasks which seek to estimate aggregated information across highly...
卷积神经网络(CNN)被广泛用于卫星图像信息提取任务。然而,对于那些需要估算高度复杂的卫星图像中的综合信息的任务,卷积神经网络(CNNs)却显得力不从心。
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引用次数: 0
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International Journal of Geographical Information Science
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