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GPU-accelerated parallel all-pair shortest path routing within stochastic road networks 随机道路网络中的 GPU 加速并行全对最短路径路由选择
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-09-01 DOI: 10.1080/13658816.2024.2394651
Wenwu Tang, Tianyang Chen, Marc P. Armstrong
{"title":"GPU-accelerated parallel all-pair shortest path routing within stochastic road networks","authors":"Wenwu Tang, Tianyang Chen, Marc P. Armstrong","doi":"10.1080/13658816.2024.2394651","DOIUrl":"https://doi.org/10.1080/13658816.2024.2394651","url":null,"abstract":"All-pair shortest path routing within stochastic road networks is often more complicated and computationally challenging than routing in deterministic networks because uncertainties in travel time ...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184282","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
Collective flow-evolutionary patterns reveal the mesoscopic structure between snapshots of spatial network 集体流演变模式揭示了空间网络快照之间的中观结构
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-09-01 DOI: 10.1080/13658816.2024.2395953
Zhongfu Ma, Di Zhu
{"title":"Collective flow-evolutionary patterns reveal the mesoscopic structure between snapshots of spatial network","authors":"Zhongfu Ma, Di Zhu","doi":"10.1080/13658816.2024.2395953","DOIUrl":"https://doi.org/10.1080/13658816.2024.2395953","url":null,"abstract":"Uncovering the collective behavior of flows among locations is critical to understanding the structure within an ever-changing spatial network. When a network evolves, there may exist subgraphs wit...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223865","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
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi’s domain adaptability 用于图像分析的地理空间基础模型：评估和增强 NASA-IBM Prithvi 的领域适应性
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-30 DOI: 10.1080/13658816.2024.2397441
Chia-Yu Hsu, Wenwen Li, Sizhe Wang
{"title":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi’s domain adaptability","authors":"Chia-Yu Hsu, Wenwen Li, Sizhe Wang","doi":"10.1080/13658816.2024.2397441","DOIUrl":"https://doi.org/10.1080/13658816.2024.2397441","url":null,"abstract":"Research on geospatial foundation models (GFMs) has become a trending topic in geospatial artificial intelligence (AI) research due to their potential for achieving high generalizability and domain...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184281","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
Translating street view imagery to correct perspectives to enhance bikeability and walkability studies 将街景图像转换为正确的视角，以加强自行车可骑性和步行可行性研究
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-27 DOI: 10.1080/13658816.2024.2391969
Koichi Ito, Matias Quintana, Xianjing Han, Roger Zimmermann, Filip Biljecki
{"title":"Translating street view imagery to correct perspectives to enhance bikeability and walkability studies","authors":"Koichi Ito, Matias Quintana, Xianjing Han, Roger Zimmermann, Filip Biljecki","doi":"10.1080/13658816.2024.2391969","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391969","url":null,"abstract":"Street view imagery (SVI), an emerging geospatial dataset, is useful for evaluating active transportation infrastructure, but it faces potential biases from its vehicle-based capture method, diverg...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184283","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-view ensemble machine learning approach for 3D modeling using geological and geophysical data 利用地质和地球物理数据进行三维建模的多视角集合机器学习方法
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-22 DOI: 10.1080/13658816.2024.2394228
Deping Chu, Jinming Fu, Bo Wan, Hong Li, Lulan Li, Fang Fang, Shengwen Li, Shengyong Pan, Shunping Zhou
{"title":"A multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data","authors":"Deping Chu, Jinming Fu, Bo Wan, Hong Li, Lulan Li, Fang Fang, Shengwen Li, Shengyong Pan, Shunping Zhou","doi":"10.1080/13658816.2024.2394228","DOIUrl":"https://doi.org/10.1080/13658816.2024.2394228","url":null,"abstract":"Geophysical data are often integrated into geological data for 3D modeling of underground spaces. However, the existing single-view approach means it is difficult to adequately fuse the valid infor...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184285","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 backfitting maximum likelihood estimator for hierarchical and geographically weighted regression modelling, with a case study of house prices in Beijing 用于分层和地理加权回归建模的反拟合最大似然估计器，以北京房价为例进行研究
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-21 DOI: 10.1080/13658816.2024.2391412
Yigong Hu, Richard Harris, Richard Timmerman, Binbin Lu
{"title":"A backfitting maximum likelihood estimator for hierarchical and geographically weighted regression modelling, with a case study of house prices in Beijing","authors":"Yigong Hu, Richard Harris, Richard Timmerman, Binbin Lu","doi":"10.1080/13658816.2024.2391412","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391412","url":null,"abstract":"Geographically weighted regression (GWR) and its extensions are important local modelling techniques for exploring spatial heterogeneity in regression relationships. However, when dealing with spat...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184284","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
On ignoring the heterogeneity in spatial autocorrelation: consequences and solutions 关于忽略空间自相关性中的异质性：后果与解决方案
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-20 DOI: 10.1080/13658816.2024.2391981
Zehua Zhang, Ziqi Li, Yongze Song
{"title":"On ignoring the heterogeneity in spatial autocorrelation: consequences and solutions","authors":"Zehua Zhang, Ziqi Li, Yongze Song","doi":"10.1080/13658816.2024.2391981","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391981","url":null,"abstract":"Spatial autoregressive (SAR) models are often used to explicitly account for the spatial dependence underlying geographic phenomena. However, traditional SAR models are specified using a single SAR...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223872","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
Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling 通过深度反强化学习和多意图建模实现低采样率轨迹的地图匹配
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-19 DOI: 10.1080/13658816.2024.2391411
Reza Safarzadeh, Xin Wang
{"title":"Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling","authors":"Reza Safarzadeh, Xin Wang","doi":"10.1080/13658816.2024.2391411","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391411","url":null,"abstract":"Analyzing freight vehicle movements using GPS trajectory data presents challenges due to environmental conditions and hardware limitations impacting data accuracy. Map matching, the process of alig...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184287","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 systematic scheme to maintain multiple characteristics for effective polygon rasterization 为有效实现多边形光栅化而维护多种特征的系统方案
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-19 DOI: 10.1080/13658816.2024.2391982
Chen Zhou, Manchun Li
{"title":"A systematic scheme to maintain multiple characteristics for effective polygon rasterization","authors":"Chen Zhou, Manchun Li","doi":"10.1080/13658816.2024.2391982","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391982","url":null,"abstract":"Polygon characteristics, including area, shape, and topology, may be lost during rasterization, leading to inaccurate analyses. Maintaining multiple characteristics remains a challenging multi-obje...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142184286","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 terrain structure characteristics into generative adversarial nets for hillshade generation 将地形结构特征纳入生成式对抗网络以生成山影
IF 5.7 1区 地球科学
International Journal of Geographical Information Science Pub Date : 2024-08-19 DOI: 10.1080/13658816.2024.2391409
Lingrui Yan, Tinghua Ai, Aji Gao
{"title":"Integrating terrain structure characteristics into generative adversarial nets for hillshade generation","authors":"Lingrui Yan, Tinghua Ai, Aji Gao","doi":"10.1080/13658816.2024.2391409","DOIUrl":"https://doi.org/10.1080/13658816.2024.2391409","url":null,"abstract":"A hillshade is a visualization technique that represents three-dimensional terrain in a two-dimensional plane by illumination mapping. The digital relief shading promotes the visualization of the t...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223866","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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