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The integration of GIS location‐based APIs and urban growth modeling for improved geographic access to hospital services Trans. GIS (IF 2.568) Pub Date : 2024-03-25 Anang Wahyu Sejati, Savira Nur Afifah Kusuma Putri, Imam Buchori, Walter Timo de Vries, Ghiffari Barbarossa, Candra Margarena, Chely Novia Bramiana
This article aims to present an integration model of GIS with open data sourced from application programming interface (API) as a solution for the location set covering problem (LSCP) with an urban land dynamics model. The development of GIS which is increasingly advanced makes traditional GIS transition in the open data era to become more modern. One of the benefits is to help urban planners in determining
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Homomorphic encryption domain asymmetric fingerprinting scheme for 3D models of oblique photography Trans. GIS (IF 2.568) Pub Date : 2024-03-23 Shuaikang Liu, Liming Zhang, Tao Tan, Lei Wang, Pengbin Wang, Ziyi Zhang, Mingwang Zhang
Existing copyright protection schemes for 3D models of oblique photography predominantly utilize digital watermarking technology, most of which suffer from shortcomings such as the potential false accusation of legitimate users and the inability to effectively trace unauthorized distributors. In response to these challenges, this article proposes a homomorphic encryption domain asymmetric fingerprinting
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Optimized convolutional neural network for land cover classification via improved lion algorithm Trans. GIS (IF 2.568) Pub Date : 2024-03-22 Anusha Preetham, Sumit Vyas, Manoj Kumar, Sanjay Nakharu Prasad Kumar
Dependable land cover data are required to aid in the resolution of a broad spectrum of environmental issues. Land cover classification at a broad scale has been carried out using data from traditional ground‐based information from the Advanced Very High‐Resolution Radiometer. From the merits as well as demerits of the existing works discussed in the literature, this article seeks to establish a novel
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Quantifying the spatial associations among terrain parameters from digital elevation models Trans. GIS (IF 2.568) Pub Date : 2024-03-19 Yutao Zhong, Liyang Xiong, Yumeng Zhou, Guoan Tang
Terrain parameters describe the morphological characteristics of a surface and are an important part of the application of geoscience. At present, there is still a lack of scientific and systematic research on the associations among terrain parameters. In this article, 14 representative terrain parameters are selected to explore their spatial association relationships by using the quantification methods
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Association rule mining of air quality through an improved Apriori algorithm: A case study in 244 Chinese cities Trans. GIS (IF 2.568) Pub Date : 2024-03-16 Keyi Shen, Ye Tian, Bisong Hu, Jin Luo, Shuhua Qi, Songli Chen, Hui Lin
Predicting air pollution is complex due to intertwined factors among local climate, built environment, and development stages. This study leverages K‐means clustering and an improved Apriori algorithm to investigate the combined effects of local meteorological, morphological, and socioeconomic factors on air quality in 244 prefectural‐level Chinese cities. Results reveal that the secondary industry
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Unraveling the impact of urban form on location's irreplaceability: An analysis from the perspective of spatiotemporal heterogeneity Trans. GIS (IF 2.568) Pub Date : 2024-03-12 Chao Wu, Fanzong Gao, Xinyue Ye, Qingsong He
The concept of a location's irreplaceability pertains to its unique characteristics that make it challenging for other locations to replace in terms of providing services and meeting needs. While scholars have shown great enthusiasm for studying location irreplaceability, accurately measuring it and understanding the effects of urban form have not been thoroughly explored through empirical research
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An ontology‐based rule mapping approach for integrating IFC and CityGML Trans. GIS (IF 2.568) Pub Date : 2024-03-11 Yuxin Ji, Yiran Wang, Yuxiang Wei, Jihua Wang, Wei Yan
Building information modeling (BIM) and geographic information system (GIS) are often integrated to achieve more refined urban management. Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) are widely used standards in BIM and GIS. The main problem of the transformation of these two standards lies in the gap between them in geometry and semantics. This article introduces
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How artificial intelligence cooperating with agent‐based modeling for urban studies: A systematic review Trans. GIS (IF 2.568) Pub Date : 2024-03-05 Zijian Guo, Xintao Liu
As urbanization accelerates, cities become more complex, coming along with more complex urban issues. Agent‐based model (ABM) is a traditional method to simulate activities in a complex system, which has been widely applied in urban studies. However, due to its rigid initial settings, ABM has been criticized for its lack of intelligence, especially in dealing with modern urban issues. With the success
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Overlapping cancer service areas: Delineation and implications Trans. GIS (IF 2.568) Pub Date : 2024-02-28 Changzhen Wang, Tracy Onega, Fahui Wang
Prior research has defined cancer service areas (CSAs) anchored by major cancer centers in the U.S., such as members of the Association of American Cancer Institutes (AACI). Those CSAs have discrete boundaries and may not capture the increasingly interwoven cancer care markets. This is the first attempt to delineate possible overlapping CSAs. Specifically, we integrate the concept of shared memberships
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Measuring metro station area's TODness: An exploratory study of Shenyang based on multi‐source urban data Trans. GIS (IF 2.568) Pub Date : 2024-02-28 Zheng Yi, Zhehao Zhang, Haiming Wang
Transit‐oriented development (TOD) promotes sustainable urban growth by integrating land use and transportation systems around public transportation nodes. Many high‐density Chinese cities have effectively applied TOD. However, studies on TODness in cities with relatively less‐developed metro networks are still nascent. This study developed a new geographic information system‐based method to assess
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Line simplification with sidedness relationship consistency using the constrained total least squares method Trans. GIS (IF 2.568) Pub Date : 2024-02-26 Yanmin Jin, Lejingyi Zhou, Zhengxiang Song, Lingling Wei, Xinyi Zheng, Xiaohua Tong, Xiongfeng Yan
The simplification of lines plays a crucial role in map generalization and multiscale representation; however, addressing inconsistent sidedness relationships between the simplified lines and their neighboring features poses a persistent challenge. In order to preserve correct and consistent sidedness relationships following simplification, this study introduces a novel line simplification method.
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Knowledge‐driven spatial competitive intelligence for tourism Trans. GIS (IF 2.568) Pub Date : 2024-02-26 Jialiang Gao, Peng Peng, Feng Lu, Shu Wang, Xiaowei Xie, Christophe Claramunt
Competition among tourism enterprises is an ineluctable component of sustainable tourism growth, requiring comprehensive studies to understand its dynamic and develop appropriate strategies. The literature employs text mining or statistical analyses to identify correlations between tourism areas as competitive relationships. However, this approach may not be fully applicable, due to the sparsity of
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Spatial multi‐objective optimization of primary healthcare facilities: A case study in Singapore Trans. GIS (IF 2.568) Pub Date : 2024-02-26 Zhong Wang, Kai Cao, Yu Lung Marcus Chiu, Qiushi Feng
Primary healthcare plays a pivotal role in enhancing health conditions. In Singapore, such services are predominantly manifested through the implementation of the Community Health Assistance Scheme (CHAS). CHAS is an initiative aimed at providing fundamental preventive and therapeutic services, especially for those seniors and low‐income adults with chronic diseases. In spite of considerable efforts
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Spatiotemporal analysis of global grain trade multilayer networks considering topological clustering Trans. GIS (IF 2.568) Pub Date : 2024-02-24 Youjun Tu, Zihan Shu, Wenjun Wu, Zongyi He, Junli Li
With accelerating globalization, the complexity of the global grain trade network structure is increasing. Traditional network analysis approaches have certain limitations in capturing these dynamic changes and hidden topological structures in data. Based on global import and export trade data for rice, wheat, and corn from 1988 to 2022, this study has proposed a novel method for the topological clustering
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Multimodal learning with only image data: A deep unsupervised model for street view image retrieval by fusing visual and scene text features of images Trans. GIS (IF 2.568) Pub Date : 2024-02-24 Shangyou Wu, Wenhao Yu, Yifan Zhang, Mengqiu Huang
As one of the classic tasks in information retrieval, the core of image retrieval is to identify the images sharing similar features with a query image, aiming to enable users to find the required information from a large number of images conveniently. Street view image retrieval, in particular, finds extensive applications in many fields, such as improvements to navigation and mapping services, formulation
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An ontology‐based semantic description model of ubiquitous map images Trans. GIS (IF 2.568) Pub Date : 2024-02-24 Fenli Jia, Jian Yang, Linfang Ding, Guangxia Wang, Guomin Song
Map images with various themes and cartographic representations have become ubiquitous on the Internet. Such ubiquitously and openly accessible data, named ubiquitous map images in this study, are a potential resource for many geographic information applications such as cartographic design. However, there is a semantic gap between the simple physical form and the complex connotation of ubiquitous map
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Does the use of GIS in geographical education yield better learning outcomes? Evidence from a quasi‐experimental study on air pollution teaching Trans. GIS (IF 2.568) Pub Date : 2024-02-22 Daihu Yang, Chuanbing Wang, Liqing Qian
The use of GIS to enhance student learning in geographical education has garnered broad recognition. Notwithstanding this, the diffusion of GIS technology into class teaching has been slow. This study endeavored to examine the effects of GIS usage in air pollution teaching on learning outcomes of secondary school students. To this end, two parallel classes in the same academic year were chosen as the
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A deep pedestrian trajectory generator for complex indoor environments Trans. GIS (IF 2.568) Pub Date : 2024-02-15 Zhenxuan He, Tong Zhang, Wangshu Wang, Jing Li
Pedestrian trajectory data, which can be used to mine pedestrian motion patterns or to model pedestrian dynamics, is crucial for indoor location-based service studies and applications. However, researchers are faced with the challenges of data shortage and privacy restrictions when using pedestrian trajectory data. We present an Indoor Pedestrian Trajectory Generator (IPTG), which is a novel deep learning
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Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix Trans. GIS (IF 2.568) Pub Date : 2024-02-14 Reza Mohammadi, Mohammad Taleai, Philipp Otto, Monika Sester
Contemporary spatial statistics studies often underestimate the complexity of road networks, thereby inhibiting the strategic development of effective interventions for car accidents. In response to this limitation, the primary objective of this study is to enhance the spatiotemporal analysis of urban crash data. We introduce an innovative spatial-temporal weight matrix (STWM) for this purpose. The
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Spatiotemporal stacking method with daily-cycle restrictions for reconstructing missing hourly PM2.5 records Trans. GIS (IF 2.568) Pub Date : 2024-02-13 Chuanfa Chen, Kunyu Li
The reliability of hourly PM2.5 data obtained from air quality monitoring stations is compromised as a result of the missing values, thereby impeding the thorough examination of crucial information. In this paper, we present a spatiotemporal (ST) stacking machine learning (ML) method with daily-cycle restrictions for reconstructing missing hourly PM2.5 records. First, the ST neighbors for the target
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Adapting moving-window metrics to vector datasets for the characterization and comparison of simulated urban scenarios Trans. GIS (IF 2.568) Pub Date : 2024-02-09 Ramón Molinero-Parejo, Francisco Aguilera-Benavente, Montserrat Gómez-Delgado
Descriptive scenarios about the possible evolution of land use in our cities are essential instruments in urban planning. Although the simulation of these scenarios has enormous potential, further characterization is needed in order to be able to evaluate and compare them so as to provide more effective support for public policy. One of the most commonly used tools for assessing these scenarios is
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A data-driven adaptive geospatial hotspot detection approach in smart cities Trans. GIS (IF 2.568) Pub Date : 2024-02-02 Yuchen Yan, Wei Quan, Hua Wang
Hotspot detection from geo-referenced urban data is critical for smart city research, such as traffic management and policy making. However, the classical clustering or classification approach for hotspot detection mainly aims at identifying “hotspot areas” rather than specific points, and the setting of global parameters such as search bandwidth can lead to inaccurate results when processing multi-density
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Identify social and job disparities in the relationship between job-housing balance and urban commuting using Baidu trajectory big data Trans. GIS (IF 2.568) Pub Date : 2024-01-18 Lei Zhou, Weiye Xiao, Han Li, Chen Wang, Xueqin Wang, Zhenlong Zheng
The job-housing relationship is a well-documented topic in urban and economic geography literature, but the disparities in job-housing relationships across workers' sociodemographic statuses have yet to be fully explored. This study utilizes a Baidu trajectory dataset and spatial analysis tools to examine job-housing relationships in Zhuhai, China, taking into account disparities in workers' socioeconomic
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Developments in deep learning for change detection in remote sensing: A review Trans. GIS (IF 2.568) Pub Date : 2024-01-17 Gaganpreet Kaur, Yasir Afaq
Deep learning (DL) algorithms have become increasingly popular in recent years for remote sensing applications, particularly in the field of change detection. DL has proven to be successful in automatically identifying changes in satellite images with varying resolutions. The integration of DL with remote sensing has not only facilitated the identification of global and regional changes but has also
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Combining error models to reduce the imprecision of geometric length measurement in vector databases Trans. GIS (IF 2.568) Pub Date : 2024-01-16 Jean-François Girres
Length measurements calculated from the geometry of vector geographic objects, called geometric measurements, are inherently imprecise. The imprecision of the measurements is due to the accumulation of causes of various origins, related to the production processes, and the rules of data representation. In order to reduce the overall imprecision of geometric length measurements, this article proposes
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Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components Trans. GIS (IF 2.568) Pub Date : 2024-01-11 Christin Henzen, Arne Rümmler, Heiko Figgemeier, Michael Wagner, Lars Bernard, Ralph Müller-Pfefferkorn
Research data infrastructures are quickly evolving and show a wide variety, for instance in the way they address user requirements and use cases as well as how they provide user-required information through their software architecture. In this article, we discuss challenges and provide approaches to developing software architectures and software components for research data infrastructures in environmental
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Construction of an open knowledge framework for geoscientific models Trans. GIS (IF 2.568) Pub Date : 2024-01-10 Kai Xu, Songshan Yue, Qingbin Chen, Jin Wang, Fengyuan Zhang, Yijie Wang, Peilong Ma, Yongning Wen, Min Chen, Guonian Lü
Geoscientific models have rapidly developed in recent decades as effective tools to understand the past, perceive the present, and predict the future. However, with the increasing number of models available, discovering suitable ones and applying them properly in problem-solving situations has become more challenging. Existing materials describing geoscientific models (e.g., articles, manuals, handbooks
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Wemap-based direction model for individuals with limited spatial orientation skills Trans. GIS (IF 2.568) Pub Date : 2024-01-09 Xiaolong Wang, Haowen Yan, Zhuo Wang, Xiaorong Gao
Spatial direction relationships act as links between visually perceived data and natural language in cartography and geographic information systems. Although the existing direction models are able to compute spatial direction relationships, their adaptability to unique users of Wemap, such as individuals with limited spatial orientation skills (ILSOS), is minimal. In particular, the ability to identify
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Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi-output spatial disaggregation Trans. GIS (IF 2.568) Pub Date : 2024-01-09 Marina Georgati, João Monteiro, Bruno Martins, Carsten Keßler, Henning Sten Hansen
Spatially aggregated data on socio-demographic groups often fail to capture the population's spatial heterogeneity in cities. This poses challenges for urban planning, particularly when addressing the needs of groups such as migrants or families with children. Moreover, the commonly provided aggregated units, such as census tracts, vary in size and across data sources. Existing literature on disaggregation
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QuadGridSIM: A quadrilateral grid-based method for high-performance and robust trajectory similarity analysis Trans. GIS (IF 2.568) Pub Date : 2024-01-04 Juqing Liu, Jun Li, Linwei Qiao, Mingke Li, Emmanuel Stefanakis, Xuesheng Zhao, Qian Huang, Hao Wang, Chengye Zhang
Measuring trajectory similarity is a fundamental algorithm in trajectory data mining, playing a key role in trajectory clustering, pattern mining, and classification, for instance. However, existing trajectory similarity measures based on vector representation have challenges in achieving both fast and accurate similarity measurements. On one hand, most existing methods have a high computational complexity
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Mining public behavior patterns from social media data during emergencies: A multidimensional analytical framework considering spatial–temporal–semantic features Trans. GIS (IF 2.568) Pub Date : 2024-01-02 Xuehua Han, Juanle Wang, Xiaodong Zhang, Liang Wang, Dandan Xu
Studying human behavioral patterns from social media data is an important part of emergency management. However, the multidimensional characteristics of social media data have rarely been fully utilized. This study proposes a multidimensional analytical framework for social media user behavior that integrates time–geographic–semantic features. The framework defines the spatiotemporal semantic multidimensional
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Evaluating the effect of urban flooding on spatial accessibility to emergency shelters based on social sensing data Trans. GIS (IF 2.568) Pub Date : 2023-12-28 Shaonan Zhu, YiXin Jiang, Jun Zhang, Qiang Dai, Xin Yang
Urban flooding is a growing source of natural hazards, significantly threatening the safety of sustainable development in cities. The distribution of flood risks is heterogeneous, so it is crucial to allocate emergency resources reasonably. This article develops an analytical framework to evaluate the effect of urban flooding on emergency responses based on social sensing data. Initially, we designed
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A new hierarchical analysis framework of building heights: Towards a more intuitive understanding of 3D urban structure Trans. GIS (IF 2.568) Pub Date : 2023-12-28 Ling Yang, Xingyu Zhou, Xin Yang, Yang Chen, Haiping Zhang, Jiaming Na
Understanding the 3D spatial structure of a city is increasingly essential for addressing various environmental and management issues, surpassing the importance of traditional 2D analysis. However, existing studies neglect the diversity of building height and still lack a clear description of 3D urban structure. This article proposes a new framework to uncover the 3D urban structure. Firstly, kernel
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Revealing the mobile sensing powers of semi-random and deterministic “drive-by” vehicle fleets Trans. GIS (IF 2.568) Pub Date : 2023-12-25 Jincheng Jiang, Junjie Wang, Hongming Yao, Zhenxin Zhang, Zhihua Xu
The utilization of mobile sensing through the deployment of sensors on third-party vehicles that pass by an area offers notable benefits in terms of spatiotemporal coverage, precision, timeliness, and cost-effectiveness for monitoring urban environments. However, the diverse travel behaviors exhibited by different types of vehicle fleets result in varying levels of sensing powers. Drawing inspiration
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A novel trajectory similarity measurement method based on node-sequence hierarchical digraph Trans. GIS (IF 2.568) Pub Date : 2023-12-10 Yue Fan, Huiwen Wang, Lihong Wang, Shu Guo, Jing Liu
Trajectory similarity measurement is a basic and vital task in trajectory data mining, which has attracted extensive research in the past decades. Recent works focused on the sequence and hierarchy property of trajectories to construct similarity measurements. However, these methods ignore the user information on the visiting locations, such as semantic and time distribution. In light of this, a novel
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Analyzing the spatial interactions between rainfall levels and flooding prediction in São Paulo Trans. GIS (IF 2.568) Pub Date : 2023-12-09 Wagner da Silva Billa, Leonardo Bacelar Lima Santos, Rogério Galante Negri
Rainfall is one of the primary triggers for many geological and hydrological natural disasters. While the geological events are related to mass movements in land collapse due to waterlogging, the hydrological ones are usually assigned to runoff or flooding. Studies in the literature propose predicting mass movement events as a function of accumulated rainfall levels recorded at distinct periods. According
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Implementation of 3D spatial planning through the integration of the standards Trans. GIS (IF 2.568) Pub Date : 2023-12-08 Dogus Guler
To plan future land use, zoning plans (i.e., spatial plans) are prepared to get the most out of land for both the public and the government. These plans manifest which facilities can be built and where they can be built on land based on defined requirements such as building height and road length. The Land Administration Domain Model (LADM) is well-known and widely used standard for describing Rights
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Urban high-quality navigation path planning that integrates human emotion perception learning Trans. GIS (IF 2.568) Pub Date : 2023-11-23 Shaojun Liu, Yi Long, Ling Zhang, Yi Huang
Geographic information system navigation services are now incorporating psychological well-being as a factor when devising navigation routes. However, challenges such as limited data, method generalizability, and subjective human perception remain unresolved. Therefore, a general humanized path-navigation method that effectively quantifies human emotional perception demands is required. In this study
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Remote sensing classification approach to large-scale crop cultivation identification: A case study of the Aral Sea Basin Trans. GIS (IF 2.568) Pub Date : 2023-11-20 Zhuojian Wen, Desheng Jiang, Ye Jing, Guilin Liu
Since the collapse of the Soviet Union, the crop cultivation structure in the Aral Sea Basin has changed dramatically, and these changes are worth studying. However, historical crop remote sensing mapping at the watershed scale remains challenging, especially crop misclassification at the cropland edge due to mixed pixels. Therefore, we proposed a field segmentation approach to constrain field edges
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Scale-oriented temporal analysis of movement data: A series-based approach Trans. GIS (IF 2.568) Pub Date : 2023-11-20 Pengdong Zhang, Nico Van de Weghe
The ubiquity of movement data has led to new research interest in aspects of temporal scale. Few of the approaches analyzing movement data have been developed specifically for scale-oriented temporal analysis. To overcome this limitation, this article proposes a series-based approach to perform scale-oriented temporal analysis of movement data. Key to the proposed approach is the construction of four
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Weighted distances and distance transforms on the triangular tiling Trans. GIS (IF 2.568) Pub Date : 2023-11-17 Benedek Nagy
Digital geometry is a field in the intersection of discrete mathematics and geometry having various applications including geographical information systems (GIS). In digital spaces, in grids, distances can be defined based on steps in paths in somewhat similarly as in graph theory. However, the grids have more definite structures, thus one may obtain more concrete results, for example, close formulae
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The accessibility analysis of multiple public facilities in the central urban areas based on multi-transportation modes: A study in Chengdu Trans. GIS (IF 2.568) Pub Date : 2023-11-16 Menghan Zhang, Zhenpei Li, Hao Peng
With the rapid development of social economy in Chengdu, it is of great significance to analyze the accessibility of a public facilities resources, and services in respective regions for the spatial planning of public facilities and the optimization of urban construction in Chengdu. Most existing studies only consider the accessibility of a single public facility under a single transportation mode
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An improved hierarchical clustering method based on the k-NN and density peak clustering Trans. GIS (IF 2.568) Pub Date : 2023-11-15 Zhicheng Shi, Renzhong Guo, Zhigang Zhao
Clustering is one of the most prevalent and important data mining algorithms ever developed. Currently, most clustering methods are divided into distance-based and density-based. In 2014, the fast search and find of density peaks clustering method was proposed, which is simple and effective and has been extensively applied in several research domains. However, the original version requires manually
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Graph distance and feature-guided multi-view clustering: A novel method for clustering urban buildings Trans. GIS (IF 2.568) Pub Date : 2023-10-29 Lin Yang, Ruolin Yang, Zejun Zuo, Mei-Po Kwan, Shunping Zhou
Urban buildings are an integral component of urban space, and accurately identifying their spatial configurations and grouping them is vital for various urban applications. However, most existing building clustering methods only utilize the original spatial and nonspatial features of buildings, disregarding the potential value of complementary information from multiple perspectives. This limitation
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Spatiotemporal multiscale diagnosis model to proactively respond to the multi-country monkeypox virus outbreak in 2022 Trans. GIS (IF 2.568) Pub Date : 2023-10-27 Olga De Cos Guerra, Valentín Castillo Salcines, David Cantarero Prieto
This research analyzes the spatiotemporal trend of 23,121 monkeypox virus cases in the multi-country outbreak that affected 82 countries from January 2022 to July 2022. The spatiotemporal trends analysis is developed using open data and GIS to model 3D bins and emerging hot spots globally (data by country) and nationally (data by region) for hardest hit countries, like the USA and Spain. The implemented
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Dynamic data-driven railway bridge construction knowledge graph update method Trans. GIS (IF 2.568) Pub Date : 2023-10-20 Jianbo Lai, Jun Zhu, Yukun Guo, Jigang You, Yakun Xie, Jianlin Wu, Ya Hu
Effectively integrating and correlating multisource data involved in the bridge construction process is crucial for the improvement of the bridge informatization level. In the current issues of dynamic numerous data and low information sharing between different engineering departments, the traditional information management methods are inefficient in providing comprehensive and accurate data support
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Knowledge-guided digital twin modeling method of generating hierarchical scenes for a high-speed railway Trans. GIS (IF 2.568) Pub Date : 2023-10-20 Heng Zhang, Wen Zhao, Zujie Han, Jun Zhu, Qing Zhu, Zhu Xu, Dejun Feng, Yongjun Song, Shufeng Song, Bo Zhang, Fengpin Jia, Yakun Xie, Yushan Quan, Junhu Zhang, Weilian Li
China's railway construction is rapidly transitioning toward integrated management of “stakeholders, management elements, and management processes”. Therefore, comprehensive and whole-process digital twin scene modeling is urgently needed for intelligent railway construction. However, the requirements of three-dimensional scenes in different stages vary hierarchically, resulting in a lack of construction
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Open source map matching with Markov decision processes: A new method and a detailed benchmark with existing approaches Trans. GIS (IF 2.568) Pub Date : 2023-10-18 Adrian Wöltche
Map matching is a widely used technology for mapping tracks to road networks. Typically, tracks are recorded using publicly available Global Navigation Satellite Systems, and road networks are derived from the publicly available OpenStreetMap project. The challenge lies in resolving the discrepancies between the spatial location of the tracks and the underlying road network of the map. Map matching
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Integrating domain knowledge and graph convolutional neural networks to support river network selection Trans. GIS (IF 2.568) Pub Date : 2023-10-04 Huafei Yu, Tinghua Ai, Min Yang, Jingzhong Li, Lu Wang, Aji Gao, Tianyuan Xiao, Zhe Zhou
Deep learning is increasingly being used to improve the intelligence of map generalization. Vector-based map generalization, utilizing deep learning, is an important avenue for research. However, there are three questions: (1) transforming vector data into a deep learning data paradigm; (2) overcoming the limitation of the number of samples; and (3) determining whether existing knowledge can accelerate
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A hierarchical spatio-temporal object knowledge graph model for dynamic scene representation Trans. GIS (IF 2.568) Pub Date : 2023-10-03 Xinke Zhao, Yibing Cao, Jiahe Wang, Xinhua Fan, Minjie Chen
Spatio-temporal knowledge is essential in understanding the dynamic aspects of complex scenes. However, existing knowledge graphs have limitations, such as inadequate time description, inflexible expression of semantic relationships, and difficulties in accessing GIS platforms. The article proposes the spatio-temporal object knowledge graph (STOKG), consisting of the object concept layer, spatio-temporal
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Overcoming unreported violence using place-based ambulance data: The case for mapping hotspots based on health data for crime prevention initiatives Trans. GIS (IF 2.568) Pub Date : 2023-09-29 David Simmonds, Barak Ariel, Vincent Harinam
A key concern in crime analysis is the “hidden crime” problem. Crime events unaccounted for in police records limit the external validity of official statistics and, more importantly, hinder the ability of the police to manage crime and utilize their resources effectively. The problem is exacerbated in proactive initiatives aimed at curbing violence through hotspot policing, where inaccuracies and
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A cyberGIS approach to exploring neighborhood-level social vulnerability for disaster risk management Trans. GIS (IF 2.568) Pub Date : 2023-09-28 Su Yeon Han, Jeon-Young Kang, Fangzheng Lyu, Furqan Baig, Jinwoo Park, Danielle Smilovsky, Shaowen Wang
Timely identification of disaster-prone neighborhoods and examination of disparity in disaster exposure are critical for policymakers to plan efficient disaster management strategies. Many studies have investigated racial, ethnic, and geographic disparities and populations most vulnerable to disasters. However, little attention has been paid to the development of easily accessible and reusable tools
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Cover Image Trans. GIS (IF 2.568) Pub Date : 2023-09-18 Yao Yao, Chenqi Feng, Jiteng Xie, Xiaoqin Yan, Qingfeng Guan, Jian Han, Jiaqi Zhang, Shuliang Ren, Yuyun Liang, Peng Luo
Cover caption: The cover image is based on the Research Article A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data by Yao Yao et al., https://doi.org/10.1111/tgis.13093
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Towards a spatio-temporal multicriteria evaluation method: A suitability analysis of residential units in a 3D urban environment Trans. GIS (IF 2.568) Pub Date : 2023-09-15 Kendra Munn, Suzana Dragićević
Spatial multi-criteria evaluation (MCE) techniques aid urban planning management by analyzing decision problem alternatives for solutions to help inform decision-making. However, there is a lack of such methods that incorporate the temporal dimension, an important factor when analyzing the dynamic urban landscape and decisions surrounding its changes. A novel spatio-temporal MCE approach is proposed
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Counterfactual reasoning in space and time: Integrating graphical causal models in computational movement analysis Trans. GIS (IF 2.568) Pub Date : 2023-09-12 Saeed Rahimi, Antoni B. Moore, Peter A. Whigham, Peter Dillingham
Movement analysis is distinguished by an emphasis on understanding via observation and association. However, an important component of movement from the human and computer modeling perspective is the processes that bring about movement behavior in the first place. This article contextualizes the graphical causal modeling framework (for association, intervention, and counterfactual causal analysis)
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Improving pixel-based classification of GRASS GIS with support vector machine Trans. GIS (IF 2.568) Pub Date : 2023-09-12 Māris Nartišs, Raitis Melniks
Open source GIS software GRASS releases 8.0 to 8.4 have received some long overdue improvements in imagery handling such as the ability to reuse spectral signature files of existing classifiers, machine readable output of accuracy assessment tool and a support vector machine (SVM) classifier. Practical comparison of all three pixel-based classifiers of GRASS GIS indicated that the maximum likelihood
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A spatiotemporal analysis of metro-stop based accessibility to bus services in Shanghai, China Trans. GIS (IF 2.568) Pub Date : 2023-09-10 Yuji Shi, Zhuofan Yan
Ground-level bus offers flexible services with relatively inexpensive fares and high-level accessibility, thus is the dominant feeder mode for metro in the majority of metropolitan areas in China. Intermodal transfer between the metro and bus networks is therefore a crucial element in the successful operation of an integrated transit system. In this circumstance, a key challenge is lack of appropriate
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MapSafe: A complete tool for achieving geospatial data sovereignty Trans. GIS (IF 2.568) Pub Date : 2023-09-04 Pankajeshwara Sharma, Michael Martin, David Swanlund
Sensitive geographic data are invaluable assets for the people to whom they belong and their disclosure should be decided by the sovereign data owner (SDO). Due to several high-profile data breaches and business models that commercialize user data, the need for new approaches to geoprivacy and data sovereignty has grown. We propose MapSafe, a client web application that first obfuscates datasets using
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Investigating factors in indoor transmission of respiratory disease through agent-based modeling Trans. GIS (IF 2.568) Pub Date : 2023-09-01 Moongi Choi, Alexander Hohl
The transmission of respiratory diseases such as COVID-19 is exacerbated in densely populated urban areas and crowded indoor settings. Despite the majority of transmissions occurring in such settings, controlling viral spread through individual-level contacts indoors remains challenging. Experimental studies have investigated the transmission patterns of respiratory behaviors such as coughing or sneezing
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DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network Trans. GIS (IF 2.568) Pub Date : 2023-08-30 Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu
Accurate and interpretable prediction of crowd flow would benefit business management and public security. The existing studies are challenged to adapt to the indoor environment due to its complex and dynamic spatial interaction patterns. In this study, we propose a crowd flow predicting method for indoor shopping malls, which simultaneously features temporal variables and semantic factors to suit