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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
International Journal of Geographical Information Science Pub Date : 2024-02-29 DOI: 10.1080/13658816.2024.2320149
Anshu Zhang, Wenzhong Shi, Zhewei Liu, Xiaolin Zhou
{"title":"Geo-SigSPM: mining geographically interesting and significant sequential patterns from trajectories","authors":"Anshu Zhang, Wenzhong Shi, Zhewei Liu, Xiaolin Zhou","doi":"10.1080/13658816.2024.2320149","DOIUrl":"https://doi.org/10.1080/13658816.2024.2320149","url":null,"abstract":"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,...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"316 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140017008","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 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
International Journal of Geographical Information Science 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
{"title":"A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods","authors":"Jun Zhu, Pei Dang, Yungang Cao, Jianbo Lai, Yukun Guo, Ping Wang, Weilian Li","doi":"10.1080/13658816.2024.2306167","DOIUrl":"https://doi.org/10.1080/13658816.2024.2306167","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"21 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752259","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
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
International Journal of Geographical Information Science Pub Date : 2024-02-06 DOI: 10.1080/13658816.2024.2312199
Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu
{"title":"Simulating human mobility with a trajectory generation framework based on diffusion model","authors":"Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu","doi":"10.1080/13658816.2024.2312199","DOIUrl":"https://doi.org/10.1080/13658816.2024.2312199","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"7 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752198","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
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
International Journal of Geographical Information Science Pub Date : 2024-02-06 DOI: 10.1080/13658816.2024.2314575
Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao
{"title":"Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections","authors":"Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao","doi":"10.1080/13658816.2024.2314575","DOIUrl":"https://doi.org/10.1080/13658816.2024.2314575","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"63 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752249","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
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
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