Pub Date : 2024-09-01DOI: 10.1080/13658816.2024.2394651
Wenwu Tang, Tianyang Chen, Marc P. Armstrong
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 ...
{"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}
Pub Date : 2024-09-01DOI: 10.1080/13658816.2024.2395953
Zhongfu Ma, Di Zhu
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...
{"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}
Pub Date : 2024-08-30DOI: 10.1080/13658816.2024.2397441
Chia-Yu Hsu, Wenwen Li, Sizhe Wang
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...
{"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}
Pub Date : 2024-08-27DOI: 10.1080/13658816.2024.2391969
Koichi Ito, Matias Quintana, Xianjing Han, Roger Zimmermann, Filip Biljecki
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...
{"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}
Pub Date : 2024-08-22DOI: 10.1080/13658816.2024.2394228
Deping Chu, Jinming Fu, Bo Wan, Hong Li, Lulan Li, Fang Fang, Shengwen Li, Shengyong Pan, Shunping Zhou
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...
{"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}
Pub Date : 2024-08-21DOI: 10.1080/13658816.2024.2391412
Yigong Hu, Richard Harris, Richard Timmerman, Binbin Lu
Geographically weighted regression (GWR) and its extensions are important local modelling techniques for exploring spatial heterogeneity in regression relationships. However, when dealing with spat...
{"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}
Pub Date : 2024-08-20DOI: 10.1080/13658816.2024.2391981
Zehua Zhang, Ziqi Li, Yongze Song
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...
空间自回归（SAR）模型通常用于明确解释地理现象背后的空间依赖性。然而，传统的 SAR 模型是使用单一的 SAR 模型来指定的。
{"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}
Pub Date : 2024-08-19DOI: 10.1080/13658816.2024.2391411
Reza Safarzadeh, Xin Wang
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...
{"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}
Pub Date : 2024-08-19DOI: 10.1080/13658816.2024.2391982
Chen Zhou, Manchun Li
Polygon characteristics, including area, shape, and topology, may be lost during rasterization, leading to inaccurate analyses. Maintaining multiple characteristics remains a challenging multi-obje...
{"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}
Pub Date : 2024-08-19DOI: 10.1080/13658816.2024.2391409
Lingrui Yan, Tinghua Ai, Aji Gao
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...
山影是一种可视化技术，它通过光照映射在二维平面上表现三维地形。数字浮雕阴影促进了地形的可视化...
{"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}
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