样式: 排序: IF: - GO 导出 标记为已读
-
A Sensor-Based Simulation Method for Spatiotemporal Event Detection ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-23 Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson, Binghu Huang
Human movements in urban areas are essential to understand human–environment interactions. However, activities and associated movements are full of uncertainties due to the complexity of a city. In this paper, we propose a novel sensor-based approach for spatiotemporal event detection based on the Discrete Empirical Interpolation Method. Specifically, we first identify the key locations, defined as
-
AED Inequity among Social Groups in Guangzhou ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-22 Feng Gao, Siyi Lu, Shunyi Liao, Wangyang Chen, Xin Chen, Jiemin Wu, Yunjing Wu, Guanyao Li, Xu Han
Automated external defibrillators (AEDs) are regarded as the most important public facility after fire extinguishers due to their importance to out-of-hospital cardiac arrest (OHCA) victims. Previous studies focused on the location optimization of the AED, with little attention to inequity among different social groups. To comprehensively investigate the spatial heterogeneity of the AED inequity, we
-
A Novel Address-Matching Framework Based on Region Proposal ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-21 Yizhuo Quan, Yuanfei Chang, Linlin Liang, Yanyou Qiao, Chengbo Wang
Geocoding is a fundamental component of geographic information science that plays a crucial role in various geographical studies and applications involving text data. Current mainstream geocoding methods fall into two categories: geodesic-grid prediction and address matching. However, the geodesic-grid-prediction method’s localization accuracy is hindered by the density of grid partitioning, struggling
-
Research on the Spatial Network Structure of Tourist Flows in Hangzhou Based on BERT-BiLSTM-CRF ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-21 Danfeng Qi, Bingbing Wang, Qiuhao Zhao, Pingbin Jin
Tourist flows, crucial information within online travelogues, reveal the interactive relationships between different tourist destinations and serve as the nerve center and link of the tourism system. This study takes Hangzhou, China, as a case to investigate the spatial network structure of its tourist flows. Firstly, a BERT-BiLSTM-CRF model and pan-attraction database are built to extract tourist
-
Comprehension of City Map Pictograms Designed for Specific Tourists’ Needs ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-18 Dorotea Kovačević, Maja Brozović, Klementina Možina
This study investigated the effectiveness of new point-of-interest (POI) pictograms on tourist maps within the Croatian and Slovenian contexts, focusing on enhancing the tourist experience in urban settings for individuals with specific needs. Despite the widespread use of tourist maps, there is a lack of research evaluating POI pictograms tailored to the needs of tourists with specific dietary, health-related
-
Scale Distribution of Retail Formats in the Central Districts of Chinese Cities: A Study Analysis of Ten Cities ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-18 Yi Shi, Yidian Wang, Yifan Ren, Chunyu Zhou, Xinyu Hu
Analyses of urban hierarchy and scale distribution are crucial in urban research, as they examine the laws of urban development and the functional layout of urban spatial systems. However, previous studies have focused on the macro-spatial distribution of the economy, businesses, and population at the regional level, whereas systematic research on the scale distribution of retail formats in central
-
Spatiotemporal Analysis of Water Body in the Chongming Island Region over the Past Decade Based on the ISUNet Model ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-17 Lizhi Miao, Xinkai Feng, Lijun Yang, Yanhui Ren, Yamei Deng, Tian Hang
Chongming Island and its surrounding areas are highly significant coastal regions in China. However, the regions undergo continuous changes owing to various factors, such as the sedimentation from the Yangtze River, human activities, and tidal movements. Chongming Island is part of the Yangtze River Delta, which is one of the most economically developed regions in China. Studying the water body changes
-
A Hierarchy-Aware Geocoding Model Based on Cross-Attention within the Seq2Seq Framework ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-17 Linlin Liang, Yuanfei Chang, Yizhuo Quan, Chengbo Wang
Geocoding converts unstructured geographic text into structured spatial data, which is crucial in fields such as urban planning, social media spatial analysis, and emergency response systems. Existing approaches predominantly model geocoding as a geographic grid classification task but struggle with the output space dimensionality explosion as the grid granularity increases. Furthermore, these methods
-
Evaluating the Impact of Human Activities on Vegetation Restoration in Mining Areas Based on the GTWR ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-16 Li Guo, Jun Li, Chengye Zhang, Yaling Xu, Jianghe Xing, Jingyu Hu
The clarification of the impact of human activities on vegetation in mining areas contributes to the harmonization of mining and environmental protection. This study utilized Geographically and Temporally Weighted Regression (GTWR) to establish a quantitative relationship among the Normalized Difference Vegetation Index (NDVI), temperature, precipitation, and Digital Elevation Model (DEM). Furthermore
-
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-16 Yanan Hao, Jin Qi, Xiaowen Ma, Sensen Wu, Renyi Liu, Xiaoyi Zhang
Historical news media reports serve as a vital data source for understanding the risk of urban ground collapse (UGC) events. At present, the application of large language models (LLMs) offers unprecedented opportunities to effectively extract UGC events and their spatiotemporal information from a vast amount of news reports and media data. Therefore, this study proposes an LLM-based inventory construction
-
Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-15 Lu Huang, Takuya Oki, Sachio Muto, Yoshiki Ogawa
Promoting walking is crucial for sustainable development and fosters individual health and well-being. Therefore, comprehensive investigations of factors that make walking attractive are vital. Previous research has linked streetscapes at eye-level to walking preferences, which usually focuses on simple linear relationships, neglecting the complex non-linear dynamics. Additionally, the varied effects
-
Multi-Criteria Framework for Routing on Access Land: A Case Study on Dartmoor National Park ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-14 Rafael Felipe Sprent, James Haworth, Stefano Cavazzi, Ilya Ilyankou
Creating routes across open areas is challenging due to the absence of a defined routing network and the complexity of the environment, in which multiple criteria may affect route choice. In the context of urban environments, research has found Visibility and Spider-Grid subgraphs to be effective approaches that generate realistic routes. However, the case studies presented typically focus on plazas
-
Search Engine for Open Geospatial Consortium Web Services Improving Discoverability through Natural Language Processing-Based Processing and Ranking ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-12 Elia Ferrari, Friedrich Striewski, Fiona Tiefenbacher, Pia Bereuter, David Oesch, Pasquale Di Donato
The improvement of search engines for geospatial data on the World Wide Web has been a subject of research, particularly concerning the challenges in discovering and utilizing geospatial web services. Despite the establishment of standards by the Open Geospatial Consortium (OGC), the implementation of these services varies significantly among providers, leading to issues in dataset discoverability
-
Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-12 Sihan Liu, Xinyi Niu
In the current field of regional studies, there is a growing focus on regional spatial relationships from the perspective of functional linkages between cities. Inter-city population movement serves as an embodiment of the integrated functionality of cities within a region, and this is closely tied to the socio-economic development of urban areas. This study utilized Location-Based Services (LBSs)
-
Map Reading and Analysis with GPT-4V(ision) ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-11 Jinwen Xu, Ran Tao
In late 2023, the image-reading capability added to a Generative Pre-trained Transformer (GPT) framework provided the opportunity to potentially revolutionize the way we view and understand geographic maps, the core component of cartography, geography, and spatial data science. In this study, we explore reading and analyzing maps with the latest version of GPT-4-vision-preview (GPT-4V), to fully evaluate
-
Mapmaking Process Reading from Local Distortions in Historical Maps: A Geographically Weighted Bidimensional Regression Analysis of a Japanese Castle Map ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-09 Naoto Yabe
Shoho Castle Maps are maps of castle towns throughout Japan drawn by Kano School painters on the order of the shogun in 1644. The Shoho Castle Map of Takada, Joetsu City, Niigata Prefecture was used to visualize local distortions in historical maps and to scrutinize the mapmaking process. A novel method, geographically weighted bidimensional regression, was developed and applied to visualize the local
-
Enhancing Adversarial Learning-Based Change Detection in Imbalanced Datasets Using Artificial Image Generation and Attention Mechanism ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-09 Amel Oubara, Falin Wu, Reza Maleki, Boyi Ma, Abdenour Amamra, Gongliu Yang
Deep Learning (DL) has become a popular method for Remote Sensing (RS) Change Detection (CD) due to its superior performance compared to traditional methods. However, generating extensive labeled datasets for DL models is time-consuming and labor-intensive. Additionally, the imbalance between changed and unchanged areas in object CD datasets, such as buildings, poses a critical issue affecting DL model
-
Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-09 Wulan Salle Karurung, Kangjae Lee, Wonhee Lee
Dementia has become a profound public health problem due to the number of patients increasing every year. Previous studies have reported that environmental factors, including greenness, may influence the development and progression of dementia. Studies have found that exposure to green space is associated with a lower incidence of dementia. However, many definitions of green space exist, and the effects
-
Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-03 Harshit, Pallavi Chaurasia, Sisi Zlatanova, Kamal Jain
In the dynamic realm of digital twin modeling, where advancements are swiftly unfolding, users now possess the unprecedented ability to capture and generate geospatial data in real time. This article delves into a critical exploration of this landscape by presenting a meticulously devised workflow tailored for the creation of Level of Detail 3 (LOD3) models. Our research methodology capitalizes on
-
Balancing Flood Control and Economic Development in Flood Detention Areas of the Yangtze River Basin ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-08 Siyuan Liao, Chao Wang, Renke Ji, Xiang Zhang, Zhifei Wang, Wei Wang, Nengcheng Chen
Serving as a crucial part of the Yangtze River Basin (YRB)’s flood control system, Flood Detention Areas (FDAs) are vital in mitigating large-scale floods. Urbanization has led to the development of urban FDAs, but significant losses could ensue if these FDAs are activated. With improved reservoirs and embankments, flood pressure in the middle reaches has lessened, posing challenges in balancing flood
-
Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-08 Hadis Pakdel, Sreeni Chadalavada, Md Jahangir Alam, Dev Raj Paudyal, Majid Vazifedoust
The severity and frequency of extremes are changing; thus, it is becoming necessary to evaluate the impacts of land cover changes and urbanisation along with climate change. A framework of the Generalised Extreme Value (GEV) method, Google Earth Engine (GEE), and land cover patterns’ classification including Random Forest (RF) and Support Vector Machine (SVM) can be useful for streamflow impact analysis
-
Analysis of Spatiotemporal Dynamics of Land Desertification in Qilian Mountain National Park Based on Google Earth Engine ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-01 Xiaowen Chen, Naiang Wang, Simin Peng, Nan Meng, Haoyun Lv
Notwithstanding the overall improvement in the ecological condition of the Qilian Mountains, there are localized occurrences of grassland degradation, desertification, and salinization. Moreover, timely and accurate acquisition of desertification information is a fundamental prerequisite for effective monitoring and prevention of desertification. Leveraging the Google Earth Engine (GEE) platform in
-
How Does the 2D/3D Urban Morphology Affect the Urban Heat Island across Urban Functional Zones? A Case Study of Beijing, China ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-04 Shouhang Du, Yuhui Wu, Liyuan Guo, Deqin Fan, Wenbin Sun
Studying driving factors of the urban heat island phenomenon is vital for enhancing urban ecological environments. Urban functional zones (UFZs), key for planning and management, have a substantial impact on the urban thermal environment through their two-dimensional (2D)/three-dimensional (3D) morphology. Despite prior research on land use and landscape patterns, understanding the effects of 2D/3D
-
Mapping the CityGML Energy ADE to CityGML 3.0 Using a Model-Driven Approach ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-04 Carolin Bachert, Camilo León-Sánchez, Tatjana Kutzner, Giorgio Agugiaro
With the increasing adoption of semantic 3D city models, the relevance of applications in the field of Urban Building Energy Modelling (UBEM) has rapidly grown, as the building sector accounts for a large part of the total energy consumption. UBEM allows us to better understand the energy performance of the building stock and can contribute to defining refurbishment strategies. However, UBEM applications
-
Animating Cartographic Meaning: Unveiling the Impact of Pictorial Symbol Motion Speed in Preattentive Processing ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-04-03 Paweł Cybulski
The primary objective of this study is to assess how the motion of dynamic point symbols impacts preattentive processing on a map. Specifically, it involves identifying the motion velocity parameters for cartographic animated pictorial symbols that contribute to the preattentive perception of the target symbols. We created five pictorial symbols, each accompanied by a unique animation tailored to convey
-
Mapping Street Patterns with Network Science and Supervised Machine Learning ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-28 Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak, Mingshu Wang
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised machine learning to classify street networks into gridiron, organic, hybrid, and cul-de-sac patterns with the street-based local area (SLA) as the
-
Analyzing the Influence of Visitor Types on Location Choices and Revisit Intentions in Urban Heritage Destinations ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-28 Sevim Sezi Karayazi, Gamze Dane, Theo Arentze
Understanding visitors’ spatial choice behavior is important in developing effective policies to counteract overcrowdedness in attractive urban heritage areas. This research presents a comprehensive analysis of visitor location choice behavior, aiming to address two primary objectives. First, this paper investigates the relationship between visitor segments and the choice of particular Points of Interest
-
An Integrated Duranton and Overman Index and Local Duranton and Overman Index Framework for Industrial Spatial Agglomeration Pattern Analysis ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-29 Yupu Huang, Li Zhuo, Jingjing Cao
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-scale cluster location mining (MCLM) method still has limitations in terms of accuracy, parameter setting, calculation efficiency, etc. This study proposes
-
Spatio-Temporal Evolution Characteristics and Influencing Factors of INGO Activities in Myanmar ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-25 Sicong Liu, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang, Xiaoshuang Huang
Myanmar is among the regions with the most frequent activities of International Non-Government Organizations (INGOs). Analyzing the spatio-temporal patterns of these activities holds crucial importance for optimizing organizational coordination and enhancing governmental oversight. This study focuses on the spatio-temporal evolution characteristics and influencing factors of INGO activities in Myanmar
-
Spatial Analysis of Exposure of Roads to Flooding and Its Implications for Mobility in Urban/Peri-Urban Accra ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-27 Gerald Albert Baeribameng Yiran, Martin Oteng Ababio, Albert Nii Moe Allotey, Richard Yao Kofie, Lasse Møller-Jensen
Climate change seriously threatens human systems, properties and livelihoods. Global projections suggest a continuous increase in the frequency and severity of weather events, with severe outcomes. Although the trends and impacts are highly variable depending on location, most studies tend to concentrate on either the urban or rural areas, with little focus on peri-urban areas. Yet, in Sub-Saharan
-
Measuring the Spatial-Temporal Heterogeneity of Helplessness Sentiment and Its Built Environment Determinants during the COVID-19 Quarantines: A Case Study in Shanghai ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-27 Yuhao He, Qianlong Zhao, Shanqi Sun, Wenjing Li, Waishan Qiu
The COVID-19 outbreak followed by the strict citywide lockdown in Shanghai has sparked negative emotion surges on social media platforms in 2022. This research aims to investigate the spatial–temporal heterogeneity of a unique emotion (helplessness) and its built environment determinants. First, we scraped about twenty thousand Weibo posts and utilized their sentiments with natural language processing
-
Connection of Conic and Cylindrical Map Projections ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-27 Miljenko Lapaine
In previous papers that have dealt with cylindrical map projections as limiting cases of conical projections, standard or equidistant parallels were used in the derivations. This paper shows that this is not necessary and that it is sufficient to use parallels that preserve length. In addition, unlike other approaches, in this article the limiting cases of conic projections are derived in the most
-
Meeting the Challenges of the UN Sustainable Development Goals through Holistic Systems Thinking and Applied Geospatial Ethics ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-25 Christy M. Caudill, Peter L. Pulsifer, Romola V. Thumbadoo, D. R. Fraser Taylor
The halfway point for the implementation of the United Nations Sustainable Development Goals (SDGs) was marked in 2023, as set forth in the 2030 Agenda. Geospatial technologies have proven indispensable in assessing and tracking fundamental components of each of the 17 SDGs, including climatological and ecological trends, and changes and humanitarian crises and socio-economic impacts. However, gaps
-
Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-24 Hui Zhang, Yu Cui, Yanjun Liu, Jianmin Jia, Baiying Shi, Xiaohua Yu
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated
-
A Semantic-Spatial Aware Data Conflation Approach for Place Knowledge Graphs ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-22 Lianlian He, Hao Li, Rui Zhang
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeference. A key technical challenge in constructing knowledge graphs with location nodes as geographical references is the matching of place entities. Traditional
-
Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-22 Janine Florath, Jocelyn Chanussot, Sina Keller
Natural hazards can present a significant risk to road infrastructure. This infrastructure is a fundamental component of the transportation infrastructure, with significant importance. During emergencies, society heavily relies on the functionality of the road infrastructure to facilitate evacuation and access to emergency facilities. This study introduces a versatile, multi-scale framework designed
-
VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-19 Minghao Liu, Qingxi Luo, Jianxiang Wang, Lingbo Sun, Tingting Xu, Enming Wang
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth’s surface over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource management, contributing to the sustainable use of land, and maintaining the health of the Earth’s ecosystems. LUCC is a dynamic geographical process involving complex spatiotemporal dependencies. Existing LUCC simulation
-
Dynamics and Predictions of Urban Expansion in Java, Indonesia: Continuity and Change in Mega-Urbanization ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-20 Andrea Emma Pravitasari, Galuh Syahbana Indraprahasta, Ernan Rustiadi, Vely Brian Rosandi, Yuri Ardhya Stanny, Siti Wulandari, Rista Ardy Priatama, Alfin Murtadho
This paper is situated within the discussion of mega-urbanization, a particular urbanization process that entails a large-scale agglomeration. In this paper, our focus is on urbanization in Java, Indonesia’s most dynamic region. We add to the literature by investigating the change and prediction of the land use/land cover (LULC) of mega-urbanization in Java. This research uses a vector machine approach
-
Wetland Classification, Attribute Accuracy, and Scale ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-20 Kate Carlson, Barbara P. Buttenfield, Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty patterns over several scales. A novel variant of confusion matrix analysis compares the Cowardin and Hydrogeomorphic wetland classification systems, identifying
-
A Review of Crowdsourcing Update Methods for High-Definition Maps ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-20 Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang, Zhicheng Lv
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. Maintaining precision and freshness in HD maps is paramount, as delayed or inaccurate information can significantly impact the safety of autonomous
-
Exploring the Spatiotemporal Effects of the Built Environment on the Nonlinear Impacts of Metro Ridership: Evidence from Xi’an, China ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-21 Yafei Xi, Quanhua Hou, Yaqiong Duan, Kexin Lei, Yan Wu, Qianyu Cheng
Exploring the correlation of the built environment with metro ridership is vital for fostering sustainable urban growth. Although the research conducted in the past has explored how ridership is nonlinearly influenced by the built environment, less research has focused on the spatiotemporal ramifications of these nonlinear effects. In this study, density, diversity, distance, destination, and design
-
Accuracy Evaluation for Plan-Reliefs and Historical Maps Created during WWI in Northern Italy ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-19 Matteo Bozzano, Domenico Sguerso, Paolo Zatelli, Davide Zendri, Angelo Besana
The availability of digital copies of historical artifacts modeling the territory through the so-called “plan-reliefs” is important for many reasons: the preservation of the artifact if the physical object is damaged or destroyed, the possibility of creating virtual showrooms and providing researchers a tool to study the object combining information from different sources. For these reasons, a set
-
A Review of Bayesian Spatiotemporal Models in Spatial Epidemiology ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-18 Yufeng Wang, Xue Chen, Feng Xue
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, uncertainties, and intricate interactions. However, the complexity of modelling and computations associated with Bayesian spatiotemporal models vary
-
Spatial Process Analysis of the Evolution of Farmland Landscape in China ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-18 Yan Fu, Qingwen Qi, Lili Jiang, Yapeng Zhao
Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland management plan. Using land cover data from five periods in China, nine types of farmland evolution process
-
Sustainable and Resilient Land Use Planning: A Multi-Objective Optimization Approach ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-18 Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjo, Andrey Shindyapin, Ali Mansourian
Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has become a complex and significant issue in urban planning worldwide. LUA is usually regarded as a spatial multi-objective optimization (MOO) problem
-
ConvTEBiLSTM: A Neural Network Fusing Local and Global Trajectory Features for Field-Road Mode Classification ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-14 Cunxiang Bian, Jinqiang Bai, Guanghe Cheng, Fengqi Hao, Xiyuan Zhao
Field-road mode classification (FRMC) that identifies “in-field” and “on-road” categories for Global Navigation Satellite System (GNSS) trajectory points of agricultural machinery containing geographic information is essential for effective crop improvement. Most previous studies utilize local trajectory features (i.e., the relationships between a point and its neighboring points), but they ignore
-
Similarity Measurement and Retrieval of Three-Dimensional Voxel Model Based on Symbolic Operator ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-11 Zhenwen He, Xianzhen Liu, Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more convenient. The exponential increase in the number of 3D models presents a significant challenge for model retrieval. Currently, these models are numerous
-
Evaluation of Qualitative Colour Palettes for Tactile Maps ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Jakub Wabiński, Emilia Śmiechowska-Petrovskij
Much attention is currently being paid to developing universally designed solutions. Tactile maps, designed for people with visual impairments (PVI), require both graphic and tactile content. While many more- or less-official guidelines regarding tactile symbols exist, the subject literature lacks clear guidance on creating legible, highly contrasting graphic symbols for visual perception by those
-
Knowledge Graph Representation of Multi-Source Urban Storm Surge Hazard Information Based on Spatio-Temporal Coding and the Hazard Events Ontology Model ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-11 Xinya Lei, Yuewei Wang, Wei Han, Weijing Song
Coastal cities are increasingly vulnerable to urban storm surge hazards and the secondary hazards they cause (e.g., coastal flooding). Accurate representation of the spatio-temporal process of hazard event development is essential for effective emergency response. However, current knowledge graph representations face the challenge of integrating multi-source information with various spatial and temporal
-
Simulating Urban Expansion from the Perspective of Spatial Anisotropy and Expansion Neighborhood ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Minghao Liu, Jianxiang Wang, Qingxi Luo, Lingbo Sun, Enming Wang
Exploring spatial anisotropy features and capturing spatial interactions during urban change simulation is of great significance to enhance the effectiveness of dynamic urban modeling and improve simulation accuracy. Addressing the inadequacies of current cellular automaton-based urban expansion models in exploring spatial anisotropy features, overlooking spatial interaction forces, and the ineffective
-
Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Jiale Qian, Yunyan Du, Fuyuan Liang, Jiawei Yi, Nan Wang, Wenna Tu, Sheng Huang, Tao Pei, Ting Ma
Understanding the public’s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between
-
Study on Spatio-Temporal Indexing Model of Geohazard Monitoring Data Based on Data Stream Clustering Algorithm ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Jiahao Li, Weiwei Song, Jianglong Chen, Qunlan Wei, Jinxia Wang
Yunnan Province, residing in the eastern segment of the Qinghai–Tibet Plateau and the western part of the Yunnan–Guizhou Plateau, faces significant challenges due to its intricate geological structures and frequent geohazards. These pose monumental risks to community safety and infrastructure. Unfortunately, conventional spatial indexing methods struggle with the enormous influx of geohazard data,
-
Multiscale Urban Functional Zone Recognition Based on Landmark Semantic Constraints ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Xuejing Xie, Yongyang Xu, Bin Feng, Wenjun Wu
The classification of urban functional areas is important for understanding the characteristics of urban areas and optimizing the utilization of urban land resources. Existing related methods have improved accuracy. However, they neglect cognitive differences amongst humans in the different scales of regional functions. Moreover, how to build the correlations of cross-scale characteristics is still
-
Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-Pixel Accuracy: Application to Digital Elevation Models ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-15 Serge Riazanoff, Axel Corseaux, Clément Albinet, Peter A. Strobl, Carlos López-Vázquez, Peter L. Guth, Takeo Tadono
In recent decades, an important number of regional and global digital elevation models (DEMs) have been released publicly. As a consequence, researchers need to choose between several of these models to perform their studies and to use these DEMs as third-party data to compute derived products (e.g., for orthorectification). However, the comparison of DEMs is not trivial. For most quantitative comparisons
-
A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-08 Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng, Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process
-
Distinguishing the Intervalley Plain from the Intermountain Flat for Landform Mapping Using the Sightline Algorithm ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-08 Ge Yan, Guoan Tang, Dingyang Lu, Junfei Ma, Xin Yang, Fayuan Li
The intervalley plain is an important type of landform for mapping, and it has good connectivity for urban construction and development on the Loess Plateau. During the global landform mapping of the Deep-time Digital Earth (DDE) Big Science Program, it was found that slope and relief amplitude hardly distinguished intervalley plains from intermountain flats. This study established a novel descriptive
-
Crossing Boundaries: The Ethics of AI and Geographic Information Technologies ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-09 Isaac Oluoch
Over the past two decades, there has been increasing research on the use of artificial intelligence (AI) and geographic information technologies for monitoring and mapping varying phenomena on the Earth’s surface. At the same time, there has been growing attention given to the ethical challenges that these technologies present (both individually and collectively in fields such as critical cartography
-
Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye) ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-08 Muge Pinar Komu, Hakan Ahmet Nefeslioglu, Candan Gokceoglu
Uncertainties related to runout distances in shallow landslide analyses may not only affect lives but may also result in economic losses. Owing to the increase in shallow landslides, which are especially triggered by heavy rainfall, runout distances have been investigated to decipher whether applications of a functional runout distance are feasible. This paper aims to give insights into the modeling
-
Enhancing Maritime Navigational Safety: Ship Trajectory Prediction Using ACoAtt–LSTM and AIS Data ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-08 Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li, Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emerging as a new trend in sophisticated geospatial applications. However, the complexity of the marine environment and data quality issues pose significant
-
What Local Environments Drive Opportunities for Social Events? A New Approach Based on Bayesian Modeling in Dallas, Texas, USA ISPRS Int. J. Geo-Inf. (IF 3.4) Pub Date : 2024-03-05 Yalin Yang, Yanan Wu, May Yuan
In-person social events bring people to places, while people and places influence where and what social events occur. Knowing what people do and where they build social relationships gives insights into the distribution and availability of places for social functions. We developed a Bayesian Network model, integrating points of interest (POIs) and sociodemographic characteristics, to estimate the probabilistic