ISPRS International Journal of Geo-Information最新文献_第5页

Spatial Semantics for the Evaluation of Administrative Geospatial Ontologies 评估行政地理空间本体的空间语义学

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-17 DOI: 10.3390/ijgi13080291

Alia I. Abdelmoty, Hanan Muhajab, Abdurauf Satoti

{"title":"Spatial Semantics for the Evaluation of Administrative Geospatial Ontologies","authors":"Alia I. Abdelmoty, Hanan Muhajab, Abdurauf Satoti","doi":"10.3390/ijgi13080291","DOIUrl":"https://doi.org/10.3390/ijgi13080291","url":null,"abstract":"Administrative geography is concerned with the hierarchy of areas related to national and local government in a country. They form an important dataset in the country’s open data provision and act as the geo-referencing backdrop for many types of geospatial data. Proprietary ontologies are built to model and represent these data with little focus on spatial semantics. Studying the quality of these ontologies and developing methods for their evaluation are needed. This paper addresses these problems by studying the spatial semantics of administrative geography data and proposes a uniform set of qualitative semantics that encapsulates the inherent spatial structure of the administrative divisions and allows for the application of spatial reasoning. Topological and proximity semantics are defined and combined into a single measure of spatial completeness and used for defining a set of competency questions to be used in the evaluation process. The significance of the novel measure of completeness and competency questions is demonstrated on four prominent real world administrative geography ontologies. It is shown how these can provide an objective measure of quality of the geospatial ontologies and gaps in their definition. The proposed approach to defining spatial completeness complements the established methods in the literature, that primarily focus on the syntactical and structural dimensions of the ontologies, and offers a novel approach to ontology evaluation in the geospatial domain.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"5 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques SAMPLID：一种利用通话详细记录进行有意义地点识别的新监督方法，可替代经典的无监督聚类技术

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-17 DOI: 10.3390/ijgi13080289

Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer

{"title":"SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques","authors":"Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer","doi":"10.3390/ijgi13080289","DOIUrl":"https://doi.org/10.3390/ijgi13080289","url":null,"abstract":"Data supplied by mobile phones have become the basis for identifying meaningful places frequently visited by individuals. In this study, we introduce SAMPLID, a new Supervised Approach for Meaningful Place Identification, based on providing a knowledge base focused on the specific problem we aim to solve (e.g., home/work identification). This approach allows to tackle place identification from a supervised perspective, offering an alternative to unsupervised clustering techniques. These clustering techniques rely on data characteristics that may not always be directly related to classification objectives. Our results, using mobility data provided by call detail records (CDRs) from Milan, demonstrate superior performance compared to applying clustering techniques. For all types of CDRs, the best results are obtained with the 20 × 20 subgrid, indicating that the model performs better when supplied with information from neighboring cells with a close spatial relationship, establishing neighborhood relationships that allow the model to clearly learn to identify transitions between cells of different types. Considering that it is common for a place or cell to be labeled in multiple categories at once, this supervised approach opens the door to addressing the identification of meaningful places from a multi-label perspective, which is difficult to achieve using classical unsupervised methods.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Planning Data Structure Based on Blockchain Technology 基于区块链技术的空间规划数据结构

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-17 DOI: 10.3390/ijgi13080290

Minwen Tang, Wujiao Dai, Changlin Yin, Bing Hu, Jun Chen, Haoming Liu

{"title":"Spatial Planning Data Structure Based on Blockchain Technology","authors":"Minwen Tang, Wujiao Dai, Changlin Yin, Bing Hu, Jun Chen, Haoming Liu","doi":"10.3390/ijgi13080290","DOIUrl":"https://doi.org/10.3390/ijgi13080290","url":null,"abstract":"Spatial planning requires ensuring the legality, uniformity, authority, and relevance of data. Blockchain technology, characterized by tamper-proofing, complete record-keeping, and process traceability, may effectively organize and manage spatial planning data. This study introduces blockchain technology to address common spatial planning problems, such as planning overlaps and conflicts. We developed a block structure, chain structure, and consensus algorithms tailored for spatial planning. To meet the data management requirements of these structures, we devised a primary unit division method based on the space and population standards of the 15 min life circle, using the Point Cloud Density Tiler. The validation experiments were conducted using the Hyperledger Fabric 2.0 technology framework in Changsha City, Hunan Province, China, with the division method validated against the number and distribution of public service facilities. The validation results show that during the data storage process, the block size remains below 1.00 MB, the data redundancy is up to 21.30%, the consensus verification rate is 150.33 times per second, the block generation rate is 20.83 blocks per minute, and the equivalent data throughput is 12.21 transactions per second. This demonstrates that the proposed method effectively addresses the challenges of block size, data redundancy, consensus algorithm efficiency, and data throughput in blockchain technology. The findings demonstrate that the structures ensure legal, uniform, and authoritative spatial planning, and advance the application of blockchain technology in relevant fields. Additionally, we explored the application of a blockchain data structure in spatial planning monitoring and early warning. This technology can be further studied and applied in related fields.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"42 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing and Predicting Nearshore Seawater Quality with Spatio-Temporal Semivariograms: The Case of Coastal Waters in Fujian Province, China 利用时空半变量图评估和预测近岸海水水质：中国福建省沿海水域案例

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-17 DOI: 10.3390/ijgi13080292

Wei Wang, Wenfang Cheng, Jing Chen

引用次数: 0

Isochrone-Based Accessibility Analysis of Pre-Hospital Emergency Medical Facilities: A Case Study of Central Districts of Beijing 基于等时性的院前急救医疗设施可达性分析：北京中心区案例研究

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-16 DOI: 10.3390/ijgi13080288

Yuan Zhao, Ying Zhou

{"title":"Isochrone-Based Accessibility Analysis of Pre-Hospital Emergency Medical Facilities: A Case Study of Central Districts of Beijing","authors":"Yuan Zhao, Ying Zhou","doi":"10.3390/ijgi13080288","DOIUrl":"https://doi.org/10.3390/ijgi13080288","url":null,"abstract":"Pre-hospital emergency medical service (PHEMS) is critical for the treatment outcomes of life-threatening injuries and time-sensitive illnesses. Response time, influenced by traffic conditions and the site planning of pre-hospital emergency medical facilities (PHEMFs), is the main indicator for evaluating PHEMS. In 2020, the Beijing government released the “Special Plan for Spatial Layout of Pre-hospital Emergency Medical Facilities in Beijing (2020–2022)”. This paper evaluates the functional efficiency and spatial equity of this plan within Beijing’s central six districts using isochrone measures to assess the accessibility of the planned PHEMFs. The isochrone coverages of the area and population were calculated, and the temporal-spatial characteristics of isochrones were concluded. The analysis revealed that while the current planning meets several objectives, challenges in service availability and equity persist. Although 10-min isochrone coverage was high, 8-min coverage was insufficient, particularly during peak hours. This highlights gaps in service accessibility that necessitate additional emergency stations in underserved areas. The current planning approach leads to significant overlap at administrative boundaries, causing service oversupply and increased costs, which calls for a city-wide planning perspective that breaks administrative boundaries to optimize resource allocation. Traffic conditions significantly impact service coverage, with congestion reducing coverage in central areas and better coverage near traffic hubs. Future planning should strategically place stations based on traffic patterns and population distribution to enhance emergency medical service accessibility and equity in urban areas.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"14 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Grid Density Algorithm-Based Second-Hand Housing Transaction Activity and Spatio-Temporal Characterization: The Case of Shenyang City, China 基于网格密度算法的二手房交易活动及时空特征分析：以中国沈阳市为例

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-16 DOI: 10.3390/ijgi13080286

Jiaqiang Ren, Xiaomeng Gao

{"title":"Grid Density Algorithm-Based Second-Hand Housing Transaction Activity and Spatio-Temporal Characterization: The Case of Shenyang City, China","authors":"Jiaqiang Ren, Xiaomeng Gao","doi":"10.3390/ijgi13080286","DOIUrl":"https://doi.org/10.3390/ijgi13080286","url":null,"abstract":"Second-hand housing transactions constitute a significant segment of the real estate market and are vital for its robust development. The dynamics of these transactions mirror the housing preferences of buyers, and their spatial and temporal analysis elucidates evolving market patterns and buyer behavior. This study introduces an innovative grid density clustering algorithm, dubbed the RScan algorithm, which integrates Bayesian optimization with grid density techniques. This composite methodology is employed to assess clustering outcomes, optimize hyperparameters, and facilitate detailed visualization and analysis of transaction activity across various regions. Focusing on Shenyang, a major urban center in Northeast China, the research spans from 2018 to 2023, exploring the second-hand housing transaction activity and its spatio-temporal attributes. The results reveal temporal fluctuations in transaction intensity across different Shenyang regions, although core areas of high activity remain constant. These regions display a heterogeneous pattern of irregularly stepped and clustered distributions, with a notable absence of uniformly high-activity zones. This study pioneers a novel methodological framework for investigating second-hand housing transactions, offering crucial insights for market development and policy formulation in Shenyang.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"17 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, China 识别路网拓扑和建筑环境对无桩共享单车出行温室气体减排潜力的非线性影响：中国深圳案例研究

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-16 DOI: 10.3390/ijgi13080287

Jiannan Zhao, Changwei Yuan, Xinhua Mao, Ningyuan Ma, Yaxin Duan, Jinrui Zhu, Hujun Wang, Beisi Tian

{"title":"Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, China","authors":"Jiannan Zhao, Changwei Yuan, Xinhua Mao, Ningyuan Ma, Yaxin Duan, Jinrui Zhu, Hujun Wang, Beisi Tian","doi":"10.3390/ijgi13080287","DOIUrl":"https://doi.org/10.3390/ijgi13080287","url":null,"abstract":"Existing studies have limited evidence about the complex nonlinear impact mechanism of road network topology and built environment on bike-sharing systems’ greenhouse gas (GHG) emission reduction benefits. To fill this gap, we examine the nonlinear effects of road network topological attributes and built environment elements on the potential GHG emission reduction of dockless bike-sharing (DBS) trips in Shenzhen, China. Various methods are employed in the research framework of this study, including a GHG emission reduction estimation model, spatial design network analysis (sDNA), gradient boosting decision tree (GBDT), and partial dependence plots (PDPs). Results show that road network topological variables have the leading role in determining the potential GHG emission reduction of DBS trips, followed by land use variables and transit-related variables. Moreover, the nonlinear impacts of road network topological variables and built environment variables show certain threshold intervals for the potential GHG emission reduction of DBS trips. Furthermore, the impact of built environment on the potential GHG emission reduction of DBS trips is moderated by road network topological indicators (closeness and betweenness). Compared with betweenness, closeness has a greater moderating effect on built environment variables. These findings provide empirical evidence for guiding bike-sharing system planning, bike-sharing rebalancing strategy optimization, and low-carbon travel policy formulation.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"10 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Functional Classification of Buildings Supported by a POI Semantic Characterization Knowledge Graph 由 POI 语义特征知识图谱支持的建筑物自动功能分类

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-15 DOI: 10.3390/ijgi13080285

Youneng Su, Qing Xu, Xinming Zhu, Fubing Zhang, Yi Liu

引用次数: 0

Correction: Agriesti et al. Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data. ISPRS Int. J. Geo-Inf. 2022, 11, 148 更正：Agriesti et al.ISPRS Int.J. Geo-Inf.

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-13 DOI: 10.3390/ijgi13080284

Serio Agriesti, Claudio Roncoli, Bat-hen Nahmias-Biran

引用次数: 0

City Transmission Networks: Unraveling Disease Spread Dynamics 城市传播网络：解读疾病传播动态

IF 3.4 3区地球科学

ISPRS International Journal of Geo-Information Pub Date : 2024-08-12 DOI: 10.3390/ijgi13080283

Hend Alrasheed, Norah Alballa, Isra Al-Turaiki, Fahad Almutlaq, Reham Alabduljabbar

{"title":"City Transmission Networks: Unraveling Disease Spread Dynamics","authors":"Hend Alrasheed, Norah Alballa, Isra Al-Turaiki, Fahad Almutlaq, Reham Alabduljabbar","doi":"10.3390/ijgi13080283","DOIUrl":"https://doi.org/10.3390/ijgi13080283","url":null,"abstract":"In the midst of global efforts to curb the spread of infectious diseases, researchers worldwide are striving to unravel the intricate spatial and temporal patterns of disease transmission dynamics. Mathematical models are indispensable tools for understanding the dissemination of emerging pathogens and elucidating the evolution of epidemics. This paper introduces a novel approach by investigating city transmission networks as a framework for analyzing disease spread. In this network, major cities are depicted as nodes interconnected by edges representing disease transmission pathways. Subsequent network analysis employs various epidemiological and structural metrics to delineate the distinct roles played by cities in disease transmission. The primary objective is to identify superspreader cities. Illustratively, we apply this methodology to study COVID-19 transmission in Saudi Arabian cities, shedding light on the specific dynamics within this context. These insights offer valuable guidance for decision-making processes and the formulation of effective intervention strategies, carrying significant implications for managing public health crises.","PeriodicalId":48738,"journal":{"name":"ISPRS International Journal of Geo-Information","volume":"77 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0