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Fine-grained spatiotemporal estimation of tourism flows leveraging cross-video collaborative perception Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-18 Shaojun Liu, Ling Zhang, Chao Wu, Junlian Ge, Yi Long
Microscale research on tourism flows is crucial for controlling such flows, analyzing resource-carrying capacity, and promoting sustainable development in the tourism industry. Current fine-grained...
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SGWR: similarity and geographically weighted regression Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-17 M. Naser Lessani, Zhenlong Li
Geographically weighted regression (GWR) offers a local approach to modeling spatial data, considering geographical location and spatial relationships between observations. A salient feature of GWR...
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Street view imagery-based built environment auditing tools: a systematic review Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-11 Shaoqing Dai, Yuchen Li, Alfred Stein, Shujuan Yang, Peng Jia
The use of street view imagery (SVI) and advanced urban visual intelligence technologies has revolutionized built environment auditing (BEA) practice, by enabling high-resolution BEA at large scale...
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Streamlining trajectory map-matching: a framework leveraging spark and GPU-based stream processing Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-09 Houji Qi, Zhou Huang, Yiran Chen, Yi Zhang, Yong Gao
Real-time online trajectory map-matching has emerged as a critical component in the era of location-based services (LBS) and intelligent transportation systems (ITS). It refers to the process of al...
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How information propagation in hybrid spaces affects decision-making: using ABM to simulate Covid-19 vaccine uptake Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-03 Fuzhen Yin, Andrew Crooks, Li Yin
The notion of physical space has long been central in geographical theories. However, the widespread adoption of information and communication technologies (ICTs) has freed human dynamics from pure...
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Addressing equifinality in agent-based modeling: a sequential parameter space search method based on sensitivity analysis Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-04-01 Moongi Choi, Andrew Crooks, Neng Wan, Simon Brewer, Thomas J. Cova, Alexander Hohl
This study addresses the challenge of equifinality in agent-based modeling (ABM) by introducing a novel sequential calibration approach. Equifinality arises when multiple models equally fit observe...
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Learning place representations from spatial interactions Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-27 Xuechen Wang, Huanfa Chen, Yu Liu
The development of geospatial artificial intelligence (GeoAI) systems depends on the ability to learn effective representations of places. To learn accurate place representations from spatial inter...
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A general characterisation of space-time prisms with spatial anchor uncertainty Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-26 Arthur Jansen, Bart Kuijpers
We investigate the geometry of space-time prisms and their associated potential path areas (for movement that takes place in the plane) in the setting where the prism anchors have a spatial uncerta...
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Enhanced least-cost path analysis for infrastructure planning: achieving a comprehensive search space with civil engineering structures Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-26 Mohammad Amini, Babak Mirbagheri, Ali Akbar Matkan, Abbas Alimohammadi
Least-cost path analysis (LCPA) is a widely recognized and practical algorithm for determining cost-effective paths between two points. This research presents an innovative LCPA designed to identif...
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Automatic sketch map creation from labeled planar graph Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-22 Petr Rapant, Marek Menšík, Adam Albert
Maps constructed in Euclidean space are commonly used to visually present information about the real world. However, their creation is resource intensive, be it financial, technical, human, or time...
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A parallel set-based model on the shortest travel time in long-distance transportation systems Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-22 Han Zhang, Yuanzhi Yao, Xia Li
The shortest travel time in long-distance transportation systems (LDTS) is a key indicator for measuring regional connectivity and mapping accessibility at national and global levels. For tradition...
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SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-03-13 A. C. Michels, J. Park, J.-Y. Kang, S. Wang
Travel-time computation with large transportation networks is often computationally intensive for two main reasons: 1) large computer memory is required to handle large networks; and 2) calculating...
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Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-29 Ding Ma, Fangning He, Yang Yue, Renzhong Guo, Tianhong Zhao, Mingshu Wang
Graph theory effectively explains urban structures via street–street connectivity. However, systematic comparisons of street structures across cities remain challenging. This study employs graph co...
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Geo-SigSPM: mining geographically interesting and significant sequential patterns from trajectories Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-29 Anshu Zhang, Wenzhong Shi, Zhewei Liu, Xiaolin Zhou
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,...
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An urban cellular automata model based on a spatiotemporal non-stationary neighborhood Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-29 Haoran Zeng, Haijun Wang, Bin Zhang
Spatiotemporal modeling has long been a major concern of geographic information science. Even though previous research has shown the importance of temporal and spatial information in quantifying th...
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Simulating human mobility with a trajectory generation framework based on diffusion model Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-06 Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu
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...
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Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-06 Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao
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...
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A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-06 Jun Zhu, Pei Dang, Yungang Cao, Jianbo Lai, Yukun Guo, Ping Wang, Weilian Li
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...
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Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-02 Qingfeng Guan, Jingyi Wang, Shuliang Ren, Huan Gao, Zhewei Liang, Junyi Wang, Yao Yao
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...
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FBS-TGCN: a temporal graph-convolutional-network model for spatiotemporal prediction of spam messages from fake base stations Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-01 Yufei Shi, Haiyan Tao, Chengbin Deng, Li Zhuo, Yiwei Ma, Qingli Shi
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...
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A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-02-01 Dan Runfola, Anthony Stefanidis, Zhonghui Lv, Joseph O’Brien, Heather Baier
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...
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Recognition of map activities using eye tracking and EEG data Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-31 Tong Qin, Wim Fias, Nico Van de Weghe, Haosheng Huang
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...
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Detecting road network errors from trajectory data with partial map matching and bidirectional recurrent neural network model Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-24 Can Yang, Peng Yue, Jianya Gong, Jian Li, Kai Yan
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...
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A method for finding a maximum value region with a minimum width in raster space Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-18 Lindsi Seegmiller, Takeshi Shirabe
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...
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Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-17 Weilian Li, Jun Zhu, Qing Zhu, Jinbin Zhang, Xiao Han, Youness Dehbi
Efficient geovisualization is beneficial for understanding geospatial phenomena, an important research direction for GISers and Cartographers. However, the current research on geovisualization over...
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A reinforcement learning-based routing algorithm for large street networks Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Diya Li, Zhe Zhang, Bahareh Alizadeh, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M. Thompson, Huilin Gao, Amir H. Behzadan
Evacuation planning and emergency routing systems are crucial in saving lives during disasters. Traditional emergency routing systems, despite their best efforts, often struggle to accurately captu...
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Hexagon-based adaptive hierarchies for efficient point-in-spherical-polygon tests on GPUs Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Jing Li, Wencheng Wang, Lulu Li, Qiang Ding, Ming Bai
Point-in-spherical-polygon tests are a fundamental problem in computational geometry. For such tests, efficiency is much required for many global information processing matters, especially their re...
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Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Wei Tu, Wei Gao, Mingxiao Li, Yao Yao, Biao He, Zhengdong Huang, Jie Zhang, Renzhong Guo
Fast urbanization brings great challenges to sustainable development goals, such as excessive exploitation and population explosion. Classical cellular automata (CA) have been widely used to indepe...
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Stochastic gradient geographical weighted regression (sgGWR): scalable bandwidth optimization for geographically weighted regression Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Hayato Nishi, Yasushi Asami
GWR (Geographical Weighted Regression) is a widely accepted regression method under spatial dependency. Since the calibration of GWR is computationally intensive, some efficient methods for calibra...
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Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Mengyue Yuan, Peng Yue, Can Yang, Jian Li, Kai Yan, Chuanwei Cai, Chongshan Wan
Recent advances in mobile mapping systems have facilitated the collection of high-precision trajectory data in centimeter positioning accuracy. It provides the potential to infer lane-level road ne...
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Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Wei Tu, Haoyu Ye, Ke Mai, Meng Zhou, Jincheng Jiang, Tianhong Zhao, Shengao Yi, Qingquan Li
There is a growing interest in the optimization of vehicle fleets management in urban environments. However, limited attention has been paid to the integrated optimization of electric taxi fleets a...
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Space–time prism and accessibility incorporating monetary budget and mobility-as-a-service Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Jing Qin, Feixiong Liao
Recent years in time geography have witnessed a flourishment of space–time prism (STP) modeling extensions for enhancing realism. However, there is little research on the incorporation of monetary ...
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Extracting and evaluating typical characteristics of rural revitalization using web text mining Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-10 Kunkun Fan, Daichao Li, Haidong Wu, Yingjie Wang, Hu Yu, Zhan Zeng
Evaluating typical rural characteristics reveals certain advantages of rural revitalization and is crucial for understanding rural disparities and promoting development. Field research and statisti...
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A deep learning approach to recognizing fine-grained expressway location reference from unstructured texts in Chinese Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-09 Qilong Wu, Peiwen Yao, Haihong Zhu, Wei Zhu, Yukun Wu, Lin Li
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...
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A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-09 Xingxing Zhou, Haiping Zhang, Xinyue Ye
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...
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A knowledge-guided visualization framework of disaster scenes for helping the public cognize risk information Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-07 Jun Zhu, Jinbin Zhang, Qing Zhu, Weilian Li, Jianlin Wu, Yukun Guo
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...
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A methodology to Geographic Cellular Automata model accounting for spatial heterogeneity and adaptive neighborhoods Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-04 Youcheng Song, Haijun Wang, Bin Zhang, Haoran Zeng, Jiahui Li, Junjie Zhang
The neighborhood effect, a pivotal element within the realm of Geographic Cellular Automata (GCA) modeling, has garnered significant attention in research. However, no research has yet investigated...
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A maps-to-maps approach for simulating urban land expansion based on convolutional long short-term memory neural networks Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-03 Zihao Zhou, Yimin Chen, Xiaoping Liu, Xinchang Zhang, Honghui Zhang
Cellular automata (CA) have been prevalently used for the simulation of urban land change. However, how to effectively learn the spatial-temporal dynamics of urban development from time-series data...
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Vision-HD: road change detection and registration using images and high-definition maps Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2024-01-03 Nian Hui, Zijie Jiang, Zhongliang Cai, Shen Ying
High-definition (HD) maps are becoming increasingly important for autonomous vehicles and advanced driver assistance systems (ADAS), as they provide detailed and accurate information about the road...
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A cellular automaton integrating spatial case-based reasoning for predicting local landslide hazards Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Jianhua Chen, Kaihang Xu, Zheng Zhao, Xianxia Gan, Huawei Xie
Predicting landslide hazards benefits geological disaster prevention and control. A novel cellular automaton (CA) integrating spatial case-based reasoning (SCBR), namely SCBR-CA, is proposed in thi...
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Adding attention to the neural ordinary differential equation for spatio-temporal prediction Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Peixiao Wang, Tong Zhang, Hengcai Zhang, Shifen Cheng, Wangshu Wang
Explainable spatio-temporal prediction gains attraction in the development of geospatial artificial intelligence. The neural ordinal differential equation (NODE) emerges as a new solution for expla...
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Estimating urban noise along road network from street view imagery Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Jing Huang, Teng Fei, Yuhao Kang, Jun Li, Ziyu Liu, Guofeng Wu
Estimating road traffic noise is essential for examining the quality of sounding environment and mitigating such a non-negligible pollutant in urban areas. However, existing estimated models often ...
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CoYangCZ: a new spatial interpolation method for nonstationary multivariate spatial processes Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Qiliang Liu, Yongchuan Zhu, Jie Yang, Xiancheng Mao, Min Deng
In multivariate spatial interpolation, the accuracy of a variable of interest can be improved using ancillary variables. Although geostatistical methods are widely used for multivariate spatial int...
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The impact of spatial scale on layout learning and individual evacuation behavior in indoor fires: single-scale learning perspectives Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Jun Zhu, Pei Dang, Jinbin Zhang, Yungang Cao, Jianlin Wu, Weilian Li, Ya Hu, Jigang You
The detail and representation of a spatial layout varies with scale. This affects an individual’s learning effectiveness and understanding, in turn directly influencing their behavior in a fire eva...
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Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Alexis Comber, Paul Harris, Chris Brunsdon
This paper proposes a novel spatially varying coefficient (SVC) regression through a Geographical Gaussian Process GAM (GGP-GAM): a Generalized Additive Model (GAM) with Gaussian Process (GP) splin...
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OSMsc: a framework for semantic 3D city modeling using OpenStreetMap Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-21 Rui Ma, Jiayu Chen, Chendi Yang, Xin Li
Semantic 3D city models have been widely used in computer graphics, geomatics, planning, construction, and urban simulation. While traditional geometric models are used only for visualization purpo...
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Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-12-12 Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu
Human mobility data play a crucial role in many fields such as infectious diseases, transportation, and public safety. Although the development of Information and Communication Technologies (ICTs) ...
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Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-29 Yibo Zhao, Shifen Cheng, Beibei Zhang, Feng Lu
Identifying road freight cargo types is crucial for regional economic interaction and transportation optimization. Existing methods primarily rely on manual labeling and the rule, neither of which ...
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GeoAI in urban analytics Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-28 Stefano De Sabbata, Andrea Ballatore, Harvey J. Miller, Renée Sieber, Ivan Tyukin, Godwin Yeboah
Published in International Journal of Geographical Information Science (Vol. 37, No. 12, 2023)
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A graph neural network framework for spatial geodemographic classification Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-28 Stefano De Sabbata, Pengyuan Liu
Geodemographic classifications are exceptional tools for geographic analysis, business and policy-making, providing an overview of the socio-demographic structure of a region by creating an unsuper...
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Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-28 Wenhao Yu, Guanwen Wang
As an important task in spatial data mining, trajectory transportation mode recognition can reflect various individual behaviors and traveling patterns in urban space. As trajectory is essentially ...
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CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-28 Jinmeng Rao, Song Gao, Sijia Zhu
The prevalence of ubiquitous location-aware devices and mobile Internet enables us to collect massive individual-level trajectory dataset from users. Such trajectory big data bring new opportunitie...
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Predicting households’ residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME) Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-11-28 Chanwoo Jin, Sohyun Park, Hui Jeong Ha, Jinhyung Lee, Junghwan Kim, Johan Hutchenreuther, Atsushi Nara
Human mobility analytics using artificial intelligence (AI) has gained significant attention with advancements in computational power and the availability of high-resolution spatial data. However, ...
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An improved assessment method for urban growth simulations across models, regions, and time Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-10-17 Chen Gao, Yongjiu Feng, Mengrong Xi, Rong Wang, Pengshuo Li, Xiaoyan Tang, Xiaohua Tong
For urban growth modeling, assessment metrics derived from cell-by-cell comparisons are mainly related to the size of the study area and the urban growth rate. Non-urban areas always occupy an impo...
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Understanding and extending the geographical detector model under a linear regression framework Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-10-17 Hang Zhang, Guanpeng Dong, Jinfeng Wang, Tong-Lin Zhang, Xiaoyu Meng, Dongyang Yang, Yong Liu, Binbin Lu
The Geographical Detector Model (GDM) is a popular statistical toolkit for geographical attribution analysis. Despite the striking resemblance of the q-statistic in GDM to the R-squared in linear r...
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Extending regionalization algorithms to explore spatial process heterogeneity Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-10-17 Hao Guo, Andre Python, Yu Liu
In spatial regression models, spatial heterogeneity may be considered with either continuous or discrete specifications. The latter is related to delineation of spatially connected regions with hom...
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Unsupervised land-use change detection using multi-temporal POI embedding Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-10-17 Yao Yao, Qia Zhu, Zijin Guo, Weiming Huang, Yatao Zhang, Xiaoqin Yan, Anning Dong, Zhangwei Jiang, Hong Liu, Qingfeng Guan
Rapid land-use change detection (LUCD) is pivotal for refined urban planning and management. In this paper, we investigate LUCD through learning embeddings of points of interest (POIs) from multipl...
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Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-10-09 Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph
Social media messages posted by people during natural disasters often contain important location descriptions, such as the locations of victims. Recent research has shown that many of these locatio...
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Uncovering the association between traffic crashes and street-level built-environment features using street view images Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-09-15 Sheng Hu, Hanfa Xing, Wei Luo, Liang Wu, Yongyang Xu, Weiming Huang, Wenkai Liu, Tianqi Li
Investigating the relationship between built environment factors and roadway safety is crucial for preventing road traffic accidents. Although studies have analyzed traffic-related built environmen...
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A line-of-sight zoning method for intervisibility computation by considering terrain relief Int. J. Geograph. Inform. Sci. (IF 5.7) Pub Date : 2023-09-11 Zengjie Wang, Xiaoyu Niu, Zhenxia Liu, Wen Luo, Zhaoyuan Yu, Jiyi Zhang, Linwang Yuan
Existing intervisibility analysis methods suffer from computational inefficiency due to redundant sampling points. To address this issue, we propose a new approximate method called line-of-sight (L...