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International Journal of Geographical Information Science最新文献

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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
International Journal of Geographical Information Science 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
{"title":"Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network","authors":"Qingfeng Guan, Jingyi Wang, Shuliang Ren, Huan Gao, Zhewei Liang, Junyi Wang, Yao Yao","doi":"10.1080/13658816.2024.2310737","DOIUrl":"https://doi.org/10.1080/13658816.2024.2310737","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"1 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139668815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-02-01 DOI: 10.1080/13658816.2024.2305636
Dan Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O’Brien, Heather Baier
{"title":"A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance","authors":"Dan Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O’Brien, Heather Baier","doi":"10.1080/13658816.2024.2305636","DOIUrl":"https://doi.org/10.1080/13658816.2024.2305636","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"80 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139668726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-02-01 DOI: 10.1080/13658816.2024.2310118
Yufei Shi, Haiyan Tao, Chengbin Deng, Li Zhuo, Yiwei Ma, Qingli Shi
{"title":"FBS-TGCN: a temporal graph-convolutional-network model for spatiotemporal prediction of spam messages from fake base stations","authors":"Yufei Shi, Haiyan Tao, Chengbin Deng, Li Zhuo, Yiwei Ma, Qingli Shi","doi":"10.1080/13658816.2024.2310118","DOIUrl":"https://doi.org/10.1080/13658816.2024.2310118","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"256 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-01-31 DOI: 10.1080/13658816.2024.2309188
Tong Qin, Wim Fias, Nico Van de Weghe, Haosheng Huang
{"title":"Recognition of map activities using eye tracking and EEG data","authors":"Tong Qin, Wim Fias, Nico Van de Weghe, Haosheng Huang","doi":"10.1080/13658816.2024.2309188","DOIUrl":"https://doi.org/10.1080/13658816.2024.2309188","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"19 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-01-24 DOI: 10.1080/13658816.2024.2306158
Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan
{"title":"Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model","authors":"Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan","doi":"10.1080/13658816.2024.2306158","DOIUrl":"https://doi.org/10.1080/13658816.2024.2306158","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"8 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139587038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-01-18 DOI: 10.1080/13658816.2024.2301727
Lindsi Seegmiller, Takeshi Shirabe
{"title":"A method for finding a maximum value region with a minimum width in raster space","authors":"Lindsi Seegmiller, Takeshi Shirabe","doi":"10.1080/13658816.2024.2301727","DOIUrl":"https://doi.org/10.1080/13658816.2024.2301727","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"6 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139496850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization 视觉注意力引导下的地理场景增强表示：桥梁应力可视化案例
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-01-17 DOI: 10.1080/13658816.2023.2301313
Weilian Li, Jun Zhu, Qing Zhu, Jinbin Zhang, Xiao Han, Youness Dehbi
{"title":"Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization","authors":"Weilian Li, Jun Zhu, Qing Zhu, Jinbin Zhang, Xiao Han, Youness Dehbi","doi":"10.1080/13658816.2023.2301313","DOIUrl":"https://doi.org/10.1080/13658816.2023.2301313","url":null,"abstract":"Efficient geovisualization is beneficial for understanding geospatial phenomena, an important research direction for GISers and Cartographers. However, the current research on geovisualization over...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"2 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139483059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data 从大规模始发地-目的地流量数据中提取空间网络结构的多层次方法
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-01-09 DOI: 10.1080/13658816.2023.2301305
Xingxing Zhou, Haiping Zhang, Xinyue Ye
{"title":"A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data","authors":"Xingxing Zhou, Haiping Zhang, Xinyue Ye","doi":"10.1080/13658816.2023.2301305","DOIUrl":"https://doi.org/10.1080/13658816.2023.2301305","url":null,"abstract":"Extracting spatial network structure (SNS) from large-scale origin-destination flow data is an important approach for understanding interregional association patterns and interaction laws. Currentl...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"9 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139409077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A deep learning approach to recognizing fine-grained expressway location reference from unstructured texts in Chinese 从非结构化中文文本中识别细粒度高速公路位置参考的深度学习方法
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-01-09 DOI: 10.1080/13658816.2023.2301316
Qilong Wu, Peiwen Yao, Haihong Zhu, Wei Zhu, Yukun Wu, Lin Li
{"title":"A deep learning approach to recognizing fine-grained expressway location reference from unstructured texts in Chinese","authors":"Qilong Wu, Peiwen Yao, Haihong Zhu, Wei Zhu, Yukun Wu, Lin Li","doi":"10.1080/13658816.2023.2301316","DOIUrl":"https://doi.org/10.1080/13658816.2023.2301316","url":null,"abstract":"Complex nested and discontinuous location references are common in unstructured text. Extracting them is essential for accurate location information retrieval and spatial inference. However, tradit...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"2 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139409080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A knowledge-guided visualization framework of disaster scenes for helping the public cognize risk information 以知识为导向的灾害场景可视化框架，帮助公众认知风险信息
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-01-07 DOI: 10.1080/13658816.2023.2298299
Jun Zhu, Jinbin Zhang, Qing Zhu, Weilian Li, Jianlin Wu, Yukun Guo
{"title":"A knowledge-guided visualization framework of disaster scenes for helping the public cognize risk information","authors":"Jun Zhu, Jinbin Zhang, Qing Zhu, Weilian Li, Jianlin Wu, Yukun Guo","doi":"10.1080/13658816.2023.2298299","DOIUrl":"https://doi.org/10.1080/13658816.2023.2298299","url":null,"abstract":"As an important application of virtual geographic environments (VGEs), virtual disaster scenes are essential in enhancing the public’s risk awareness. However, existing virtual disaster scene visua...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"104 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139396999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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