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Cross-domain NER in the data-poor scenarios for human mobility knowledge GeoInformatica (IF 2.0) Pub Date : 2024-03-05 Yutong Jiang, Fusheng Jin, Mengnan Chen, Guoming Liu, He Pang, Ye Yuan
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DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network GeoInformatica (IF 2.0) Pub Date : 2024-02-16 Zhewen Xu, Xiaohui Wei, Jieyun Hao, Junze Han, Hongliang Li, Changzheng Liu, Zijian Li, Dongyuan Tian, Nong Zhang
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Efficient spatial queries over complex polygons with hybrid representations GeoInformatica (IF 2.0) Pub Date : 2023-12-27 Dejun Teng, Furqan Baig, Zhaohui Peng, Jun Kong, Fusheng Wang
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Meta-learning based passenger flow prediction for newly-operated stations GeoInformatica (IF 2.0) Pub Date : 2023-11-29 Kuo Han, Jinlei Zhang, Xiaopeng Tian, Songsong Li, Chunqi Zhu
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Efficient algorithms for community aware ridesharing GeoInformatica (IF 2.0) Pub Date : 2023-11-23 Shuha Nabila, Tanzima Hashem, Samiul Anwar, A. B. M. Alim Al Islam
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Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning GeoInformatica (IF 2.0) Pub Date : 2023-10-21 Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang
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Discovery of multi-domain spatiotemporal associations GeoInformatica (IF 2.0) Pub Date : 2023-10-03 Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana P. Janeja
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A geometry-driven neural topic model for trip purpose inference GeoInformatica (IF 2.0) Pub Date : 2023-08-19 Jiaqi Zhang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
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DLRD: dual-level network for rumor detection on geo-textual data GeoInformatica (IF 2.0) Pub Date : 2023-08-19 Hongyu Wang, Ke Li, Shuo Shang
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A deformable convolutional time-series prediction network with extreme peak and interval calibration GeoInformatica (IF 2.0) Pub Date : 2023-07-26 Xin Bi, Guoliang Zhang, Lijun Lu, George Y Yuan, Xiangguo Zhao, Yongjiao Sun, Yuliang Ma
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Continuous frequent contact detection over moving objects GeoInformatica (IF 2.0) Pub Date : 2023-07-17 Junjie Zhang, Jie Yu, Shuo Shang, Lisi Chen, Shanshan Feng
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MSCNet: Dense vehicle counting method based on multi-scale dilated convolution channel-aware deep network GeoInformatica (IF 2.0) Pub Date : 2023-07-08 Qiyan Fu, Weidong Min, Chunbo Li, Haoyu Zhao, Ye Cao, Meng Zhu
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Fast slope algorithm with the use of vectorization and parallelization for multicore architectures GeoInformatica (IF 2.0) Pub Date : 2023-07-07 Beata Bylina, Jarosław Bylina, Łukasz Chabudziński, Karol Karpowicz, Michał Klisowski, Piotr Oleszczuk, Joanna Potiopa, Przemysław Stpiczyński
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Keeping an eye on moving objects: processing continuous spatial-keyword range queries GeoInformatica (IF 2.0) Pub Date : 2023-06-26 Mariam Orabi, Zaher Al Aghbari, Ibrahim Kamel, Djedjiga Mouheb
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Rotation invariant GPS trajectory mining GeoInformatica (IF 2.0) Pub Date : 2023-06-08 Maximilian Leodolter, Claudia Plant, Norbert Brändle
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Opportunistic package delivery as a service on road networks GeoInformatica (IF 2.0) Pub Date : 2023-06-03 Debajyoti Ghosh, Jagan Sankaranarayanan, Kiran Khatter, Hanan Samet
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NALMO: Transforming Queries in Natural Language for Moving Objects Databases GeoInformatica (IF 2.0) Pub Date : 2023-05-06 Xieyang Wang, Mengyi Liu, Jianqiu Xu, Hua Lu
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Multilingual spatial domain natural language interface to databases GeoInformatica (IF 2.0) Pub Date : 2023-04-29 Wenlu Wang, Jingjing Li, Wei-Shinn Ku, Haixun Wang
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Time-constrained indoor keyword-aware routing: foundations and extensions GeoInformatica (IF 2.0) Pub Date : 2023-04-14 Harry Kai-Ho Chan, Tiantian Liu, Huan Li, Hua Lu
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Accuracy of UAV-based DEMs without ground control points GeoInformatica (IF 2.0) Pub Date : 2023-04-11 Bartłomiej Szypuła
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SGPAC: generalized scalable spatial GroupBy aggregations over complex polygons GeoInformatica (IF 2.0) Pub Date : 2023-03-21 Laila Abdelhafeez, Amr Magdy, Vassilis J. Tsotras
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Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification GeoInformatica (IF 2.0) Pub Date : 2023-03-06 Muhammad Ibraheem Siddiqui, Khurram Khan, Adnan Fazil, Muhammad Zakwan
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Special issue on geospatial artificial intelligence. GeoInformatica (IF 2.0) Pub Date : 2023-03-04 Song Gao,Yingjie Hu,Wenwen Li,Lei Zou
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A topology-based approach to individual tree segmentation from airborne LiDAR data GeoInformatica (IF 2.0) Pub Date : 2023-01-28 Xin Xu, Federico Iuricich, Leila De Floriani
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Test-data generation and integration for long-distance e-vehicle routing GeoInformatica (IF 2.0) Pub Date : 2023-01-26 Andrius Barauskas, Agnė Brilingaitė, Linas Bukauskas, Vaida Čeikutė, Alminas Čivilis, Simonas Šaltenis
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Optimizing pedestrian simulation based on expert trajectory guidance and deep reinforcement learning GeoInformatica (IF 2.0) Pub Date : 2023-01-16 Senlin Mu, Xiao Huang, Moyang Wang, Di Zhang, Dong Xu, Xiang Li
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A segmented parallel expansion algorithm for keyword-aware optimal route query GeoInformatica (IF 2.0) Pub Date : 2022-12-01 Mengmeng Liu, Baoning Niu, Rong Yang
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A spatially-aware algorithm for location extraction from structured documents GeoInformatica (IF 2.0) Pub Date : 2022-11-04 Praval Sharma, Ashok Samal, Leen-Kiat Soh, Deepti Joshi
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Towards general-purpose representation learning of polygonal geometries GeoInformatica (IF 2.0) Pub Date : 2022-10-22 Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao
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Semi-supervised geological disasters named entity recognition using few labeled data GeoInformatica (IF 2.0) Pub Date : 2022-10-18 Xinya Lei, Weijing Song, Runyu Fan, Ruyi Feng, Lizhe Wang
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Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters GeoInformatica (IF 2.0) Pub Date : 2022-10-17 Yanbing Bai, Jinhua Su, Yulong Zou, Bruno Adriano
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Predicting Co-movement patterns in mobility data GeoInformatica (IF 2.0) Pub Date : 2022-09-22 Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis, Yannis Theodoridis
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Probabilistic air quality forecasting using deep learning spatial–temporal neural network GeoInformatica (IF 2.0) Pub Date : 2022-09-22 S. Abirami, P. Chitra
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Learning the micro-environment from rich trajectories in the context of mobile crowd sensing GeoInformatica (IF 2.0) Pub Date : 2022-09-20 Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang
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HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning GeoInformatica (IF 2.0) Pub Date : 2022-09-05 Ling Cai, Krzysztof Janowicz, Rui Zhu, Gengchen Mai, Bo Yan, Zhangyu Wang
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GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning GeoInformatica (IF 2.0) Pub Date : 2022-09-03 Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu
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Geographical information system for air traffic optimization using genetic algorithm GeoInformatica (IF 2.0) Pub Date : 2022-08-30 Rafik Amara, Mostefa Belhadj Aissa, Rebiha Kemcha, Maamar Bougherara, Nadjib Louam
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Optimizing vessel trajectory compression for maritime situational awareness GeoInformatica (IF 2.0) Pub Date : 2022-08-29 Giannis Fikioris, Kostas Patroumpas, Alexander Artikis, Manolis Pitsikalis, Georgios Paliouras
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Terrain trees: a framework for representing, analyzing and visualizing triangulated terrains GeoInformatica (IF 2.0) Pub Date : 2022-08-27 Riccardo Fellegara, Federico Iuricich, Yunting Song, Leila De Floriani
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Real-time road safety optimization through network-level data management GeoInformatica (IF 2.0) Pub Date : 2022-08-22 Lakmal Muthugama, Hairuo Xie, Egemen Tanin, Shanika Karunasekera
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joinTree: A novel join-oriented multivariate operator for spatio-temporal data management in Flink GeoInformatica (IF 2.0) Pub Date : 2022-08-04 Hangxu Ji, Gang Wu, Yuhai Zhao, Shiye Wang, Guoren Wang, George Y. Yuan
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Creating contiguous service areas around points of dispensing for resource distribution during bio-emergencies GeoInformatica (IF 2.0) Pub Date : 2022-07-01 Harsha Gwalani, Chetan Tiwari, Marty O’Neill II, Armin R Mikler
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ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects GeoInformatica (IF 2.0) Pub Date : 2022-05-27 Ganmin Yin, Zhou Huang, Yi Bao, Han Wang, Linna Li, Xiaolei Ma, Yi Zhang
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Online fleet monitoring with scalable event recognition and forecasting GeoInformatica (IF 2.0) Pub Date : 2022-05-11 Emmanouil Ntoulias, Elias Alevizos, Alexander Artikis, Charilaos Akasiadis, Athanasios Koumparos
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MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction GeoInformatica (IF 2.0) Pub Date : 2022-04-25 Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S Shang
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Multi-type clustering using regularized tensor decomposition GeoInformatica (IF 2.0) Pub Date : 2022-04-12 Charlotte L. Ellison, William R. Fields
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From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea GeoInformatica (IF 2.0) Pub Date : 2022-03-31 Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amilcar Soares, Stan Matwin
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City indicators for geographical transfer learning: an application to crash prediction GeoInformatica (IF 2.0) Pub Date : 2022-03-22 Mirco Nanni, Riccardo Guidotti, Agnese Bonavita, Omid Isfahani Alamdari
The massive and increasing availability of mobility data enables the study and the prediction of human mobility behavior and activities at various levels. In this paper, we tackle the problem of predicting the crash risk of a car driver in the long term. This is a very challenging task, requiring a deep knowledge of both the driver and their surroundings, yet it has several useful applications to public
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Correction to: Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions GeoInformatica (IF 2.0) Pub Date : 2022-03-03 Di Zhu,Yu Liu,Xin Yao,Manfred M. Fischer
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An analysis of twitter as a relevant human mobility proxy GeoInformatica (IF 2.0) Pub Date : 2022-02-15 Fernando Terroso-Saenz, Andres Muñoz, Francisco Arcas, Manuel Curado
During the last years, the analysis of spatio-temporal data extracted from Online Social Networks (OSNs) has become a prominent course of action within the human-mobility mining discipline. Due to the noisy and sparse nature of these data, an important effort has been done on validating these platforms as suitable mobility proxies. However, such a validation has been usually based on the computation
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Online meta-learning for POI recommendation GeoInformatica (IF 2.0) Pub Date : 2022-01-13 Yao Lv, Yu Sang, Chong Tai, Wanjun Cheng, Jedi S. Shang, Jianfeng Qu, Xiaomin Chu, Ruoqian Zhang
Studying the POI recommendation in an online setting becomes meaningful because large volumes of user-POI interactions are generated in a chronological order. Although a few online update strategies have been developed, they cannot be applied in POI recommendation directly because they can hardly capture the long-term user preference only by updating the model with the current data. Besides, some latent
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Porting disk-based spatial index structures to flash-based solid state drives GeoInformatica (IF 2.0) Pub Date : 2021-12-13 Anderson Chaves Carniel, George Roumelis, Ricardo R. Ciferri, Michael Vassilakopoulos, Antonio Corral, Cristina D. Aguiar
Indexing data on flash-based Solid State Drives (SSDs) is an important paradigm recently applied in spatial data management. During last years, the design of new spatial access methods for SSDs, named flash-aware spatial indices, has attracted the attention of many researchers, mainly to exploit the advantages of SSDs in spatial query processing. eFIND is a generic framework for transforming a disk-based
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ASNN-FRR: A traffic-aware neural network for fastest route recommendation GeoInformatica (IF 2.0) Pub Date : 2021-12-01 Chaoxiong Wang, Chao Li, Hai Huang, Jing Qiu, Jianfeng Qu, Lihua Yin
Fastest route recommendation (FRR) is an important task in urban computing. Despite some efforts are made to integrate A∗ algorithm with neural networks to learn cost functions by a data driven approach, they suffer from inaccuracy of travel time estimation and admissibility of model, resulting sub-optimal results accordingly. In this paper, we propose an ASNN-FRR model that contains two powerful predictors
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Reverse keyword-based location search on road networks GeoInformatica (IF 2.0) Pub Date : 2021-11-12 Chen, Zijun, Wang, Xin, Liu, Wenyuan
Reverse top-k keyword-based location query (RTkKL), aims to find the maximum spatial region such that the query object is contained in the result of any top-k spatial keyword query with users’ queried keywords and any location in the region as arguments. Existing efforts on RTkKL find the objects in the Euclidean space. In this paper, we study the problem of reverse top-k keyword-based location query
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Temporal aggregation bias and Gerrymandering urban time series GeoInformatica (IF 2.0) Pub Date : 2021-11-13 Samuel Stehle
The Modifiable Aerial Unit Problem (MAUP) influences the interpretation of spatial data in that forms of spatial aggregation creates scale and segmentation ecological fallacies. This paper explores the extent to which similar scalar and segmentation issues affect the analysis of temporal data. The analogy of gerrymandering in spatial data, which is the purposeful segmentation of space such that the
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Personalized route recommendation through historical travel behavior analysis GeoInformatica (IF 2.0) Pub Date : 2021-11-10 de Oliveira e Silva, Rodrigo Augusto, Cui, Ge, Rahimi, Seyyed Mohammadreza, Wang, Xin
Popular navigation applications and services optimize routes based on either distance or time, disregarding drivers’ preferences when suggesting routes. Various unknown circumstances may affect users’ travel behaviors between two locations on the road network, hence it is complicated to provide satisfactory personalized route recommendations. In this paper, it is believed that users’ travel behaviors
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Understanding evolution of maritime networks from automatic identification system data GeoInformatica (IF 2.0) Pub Date : 2021-11-10 Carlini, Emanuele, de Lira, Vinicius Monteiro, Soares, Amilcar, Etemad, Mohammad, Brandoli, Bruno, Matwin, Stan
Recent studies on maritime traffic model the interplay between vessels and ports as a graph, which is often built using automatic identification system (AIS) data. However, only a few works explicitly study the evolution of such graphs and, when they do, generally consider coarse-grained time intervals. Our goal is to fill this gap by providing a conceptual framework for the fine-grained systematic
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Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions GeoInformatica (IF 2.0) Pub Date : 2021-11-02 Zhu, Di, Liu, Yu, Yao, Xin, Fischer, Manfred M.
Geospatial artificial intelligence (GeoAI) has emerged as a subfield of GIScience that uses artificial intelligence approaches and machine learning techniques for geographic knowledge discovery. The non-regularity of data structures has recently led to different variants of graph neural networks in the field of computer science, with graph convolutional neural networks being one of the most prominent
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Individual and collective stop-based adaptive trajectory segmentation GeoInformatica (IF 2.0) Pub Date : 2021-10-08 Bonavita, Agnese, Guidotti, Riccardo, Nanni, Mirco
Identifying the portions of trajectory data where movement ends and a significant stop starts is a basic, yet fundamental task that can affect the quality of any mobility analytics process. Most of the many existing solutions adopted by researchers and practitioners are simply based on fixed spatial and temporal thresholds stating when the moving object remained still for a significant amount of time
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A survey of location-based social networks: problems, methods, and future research directions GeoInformatica (IF 2.0) Pub Date : 2021-09-24 Wei, Xuemei, Qian, Yang, Sun, Chunhua, Sun, Jianshan, Liu, Yezheng
The development of mobile devices and positioning technology has facilitated the rapid growth of location-based social networks (LBSNs). Users in these networks can share geo-related information in real-time, including locations, trajectories, geo-tagged pictures, and tweets. LBSNs record massive amounts of spatiotemporal data and offer a great opportunity to analyze human and location-specific spatiotemporal