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International Journal of Geographical Information Science最新文献

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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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
FBS-TGCN: a temporal graph-convolutional-network model for spatiotemporal prediction of spam messages from fake base stations FBS-TGCN:用于假基站垃圾邮件时空预测的时空图卷积网络模型
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-02-01 DOI: 10.1080/13658816.2024.2310118
Yufei Shi, Haiyan Tao, Chengbin Deng, Li Zhuo, Yiwei Ma, Qingli Shi
Spam messages affect the normal communication of mobile phone users and public security. Fake base station (FBS) is the main channel for sending spam messages. Accurate spatiotemporal prediction of...
垃圾信息影响了手机用户的正常通信和公共安全。伪基站(FBS)是发送垃圾信息的主要渠道。对垃圾信息进行准确的时空预测,可以有效防止垃圾信息的传播。
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引用次数: 0
Recognition of map activities using eye tracking and EEG data 利用眼动跟踪和脑电图数据识别地图活动
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-31 DOI: 10.1080/13658816.2024.2309188
Tong Qin, Wim Fias, Nico Van de Weghe, Haosheng Huang
Recognizing the activities being performed on a map is crucial for adaptive map design based on user context. Despite eye tracking (ET) demonstrating potential in recognizing map activities and ele...
识别在地图上进行的活动对于基于用户环境的自适应地图设计至关重要。尽管眼动追踪(ET)在识别地图活动和元素方面显示出了潜力,但其在地图设计中的应用还很有限。
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引用次数: 0
Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model 利用部分地图匹配和双向递归神经网络模型从轨迹数据中检测路网误差
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-24 DOI: 10.1080/13658816.2024.2306158
Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan
Ensuring the correctness of road network data is critical for navigation, traffic control and urban planning. Errors like missing roads and absent connections can hinder its quality. Trajectory dat...
确保路网数据的正确性对于导航、交通控制和城市规划至关重要。道路缺失和连接缺失等错误会影响数据质量。轨迹数据的准确性和可靠性对导航、交通控制和城市规划至关重要。
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引用次数: 0
A method for finding a maximum value region with a minimum width in raster space 在栅格空间中寻找宽度最小的最大值区域的方法
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-18 DOI: 10.1080/13658816.2024.2301727
Lindsi Seegmiller, Takeshi Shirabe
Given a grid of cells, each of which is assigned a numerical value quantifying its suitability for a certain use, one problem in geographic information science concerns the selection of a region, i...
地理信息科学中的一个问题是如何选择一个区域,即...
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引用次数: 0
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International Journal of Geographical Information Science
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