Journal of Geographical Systems最新文献_第2页

Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data 揭示机器学习算法对在线地理编码服务质量的影响：使用 COVID-19 数据的案例研究

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-25 DOI: 10.1007/s10109-023-00435-8

Batuhan Kilic, Onur Can Bayrak, Fatih Gülgen, Mert Gurturk, Perihan Abay

{"title":"Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data","authors":"Batuhan Kilic, Onur Can Bayrak, Fatih Gülgen, Mert Gurturk, Perihan Abay","doi":"10.1007/s10109-023-00435-8","DOIUrl":"https://doi.org/10.1007/s10109-023-00435-8","url":null,"abstract":"<p>In today's era, the address plays a crucial role as one of the key components that enable mobility in daily life. Address data are used by global map platforms and location-based services to pinpoint a geographically referenced location. Geocoding provided by online platforms is useful in the spatial tracking of reported cases and controls in the spatial analysis of infectious illnesses such as COVID-19. The first and most critical phase in the geocoding process is address matching. However, due to typographical errors, variations in abbreviations used, and incomplete or malformed addresses, the matching can seldom be performed with 100% accuracy. The purpose of this research is to examine the capabilities of machine learning classifiers that can be used to measure the consistency of address matching results produced by online geocoding services and to identify the best performing classifier. The performance of the seven machine learning classifiers was compared using several text similarity measures, which assess the match scores between the input address data and the services' output. The data utilized in the testing came from four distinct online geocoding services applied to 925 addresses in Türkiye. The findings from this study revealed that the Random Forest machine learning classifier was the most accurate in the address matching procedure. While the results of this study hold true for similar datasets in Türkiye, additional research is required to determine whether they apply to data in other countries.</p>","PeriodicalId":47245,"journal":{"name":"Journal of Geographical Systems","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139554283","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

Deriving fuzzy topological relations from incomplete observations 从不完整的观测结果中推导出模糊拓扑关系

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-22 DOI: 10.1007/s10109-023-00432-x

Subhankar Jana, Anjali Patel, Juthika Mahanta

引用次数: 0

Simulating the effects of planning strategies on urban heat island and air pollution mitigation in an urban renewal area 模拟规划策略对城市更新区城市热岛和空气污染缓解的影响

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-22 DOI: 10.1007/s10109-023-00436-7

{"title":"Simulating the effects of planning strategies on urban heat island and air pollution mitigation in an urban renewal area","authors":"","doi":"10.1007/s10109-023-00436-7","DOIUrl":"https://doi.org/10.1007/s10109-023-00436-7","url":null,"abstract":"<h3>Abstract</h3> <p>Urbanization has caused increasingly severe heat island effect in cites, which also has worsened air quality in the urban areas due to a combination of factors. To reduce the impacts, several studies have proposed strategies based on different planning and design principles. Although some strategies were found to be useful for mitigating air pollution or urban heat island, the simultaneous effects were rarely discussed in the past studies. Therefore, this research tries to develop a framework that is able to evaluate the relative benefits of different mitigation methods on both urban heat island and air pollution, using a scenario-based computational fluid dynamics (CFD) modeling method. Six scenarios of different strategies were comprehensively evaluated and compared. It is found that pavement materials and rooftop greening showed more significant effects on reducing the heat island temperature and air pollutant concentration than that of changes in building volumes and water bodies in the study area. In addition, there are differences in mitigation effects on the two impacts, suggesting that careful comparative analysis should always be done before implementing the strategies. The proposed method could be very useful in the process of developing coping strategies for both heat island effect and air pollution in the urban areas.</p>","PeriodicalId":47245,"journal":{"name":"Journal of Geographical Systems","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139515035","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 monitoring to reduce COVID-19 vaccine hesitance 通过空间监测减少对 COVID-19 疫苗的犹豫不决

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-20 DOI: 10.1007/s10109-023-00437-6

Ge Lin, Tonglin Zhang

{"title":"Spatial monitoring to reduce COVID-19 vaccine hesitance","authors":"Ge Lin, Tonglin Zhang","doi":"10.1007/s10109-023-00437-6","DOIUrl":"https://doi.org/10.1007/s10109-023-00437-6","url":null,"abstract":"<p>Arthur Getis is a pioneer in spatial statistics. His collaboration with Keith Ord has inspired our long-standing collaboration between a geographer and a statistician. Getis often tackled real-world infectious disease problems using spatial statistics, which has motivated our work from time to time. In this paper, we report a 10-week spatial intervention for reducing COVID-19 vaccine hesitancy. In contrast to spatiotemporal modeling, we mapped and detected spatial patterning of vaccination each week in conjunction with the social vulnerability index (SVI). Between week one and week eight, we identified substantial spatial clustering effects of COVID-19 vaccine administrations. These effects were negatively associated with SVI, meaning that the more vulnerable populations were less likely to be vaccinated. This directional effect changed to positive suggesting significant progress from the intervention. Even though we observed some global spatial clustering in the early weeks, low-value clusters or cool spots for vaccine hesitance were no longer present after SVI was controlled. The use of spatial statistics and the SVI can help monitor targeted interventions to reduce vaccination disparities.</p>","PeriodicalId":47245,"journal":{"name":"Journal of Geographical Systems","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139506331","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

Analysis of a spatial point pattern in relation to a reference point 与参考点相关的空间点模式分析

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-19 DOI: 10.1007/s10109-023-00434-9

Yukio Sadahiro, Hidetaka Matsumoto

引用次数: 0

Inspired by Art 艺术的启迪

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-16 DOI: 10.1007/s10109-023-00431-y

Peter A. Rogerson

引用次数: 0

CHTopoNER model-based method for recognizing Chinese place names from social media information 基于 CHTopoNER 模型的从社交媒体信息中识别中文地名的方法

IF 2.9 3区地球科学

Journal of Geographical Systems Pub Date : 2024-01-11 DOI: 10.1007/s10109-023-00433-w

Mengwei Zhang, Xingui Liu, Zheng Zhang, Yue Qiu, Zhipeng Jiang, Pengyu Zhang

{"title":"CHTopoNER model-based method for recognizing Chinese place names from social media information","authors":"Mengwei Zhang, Xingui Liu, Zheng Zhang, Yue Qiu, Zhipeng Jiang, Pengyu Zhang","doi":"10.1007/s10109-023-00433-w","DOIUrl":"https://doi.org/10.1007/s10109-023-00433-w","url":null,"abstract":"<p>Chinese toponym recognition is crucial in named entity recognition and has significant implications for improving geographic information systems. Based on the real-time nature of social media and rich geographical data contained in social media, it is important to identify Chinese toponyms, including compound toponyms, informal toponyms, and other forms of social media content, for automatic geospatial information extraction. However, the strong word-building ability, diverse features, and ambiguity of Chinese toponyms combined with the linguistic irregularities of social media pose significant challenges for accurately locating toponym boundaries and resolving ambiguities. Furthermore, existing Chinese toponym recognition methods often ignore the fusion of local and global features during feature extraction, resulting in semantic information loss. Therefore, we used the Chinese-roberta-wwm-ext pre-trained language model to encode input text and obtain character-level information. An improved SoftLexicon-based statistical method was employed to acquire word-level semantic information, which was then integrated with character-level semantic information. A two-channel neural network layer comprising a bi-directional long short-term memory and an inception-dilated convolutional neural network was utilized to extract global and local features from text. Additionally, a conditional random field was applied to establish label constraints. The proposed deep neural network model, called CHTopoNER, is designed to identify various forms of Chinese toponyms in irregular Chinese social media content. Its effectiveness was validated on four publicly available annotated toponym datasets and a custom social media dataset. CHTopoNER surpasses state-of-the-art Chinese toponym recognition models and achieves promising results for extracting various types of toponyms and spatial location terms.</p>","PeriodicalId":47245,"journal":{"name":"Journal of Geographical Systems","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139459070","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

Geovisualization: an optimization algorithm of viewpoint generation for 3D cadastral property units 地理可视化:三维地籍属性单元视点生成的优化算法

3区地球科学

Journal of Geographical Systems Pub Date : 2023-10-08 DOI: 10.1007/s10109-023-00429-6

Lvhua Wang, Xinxin Zhou, Jian Shen, Shuting Zhou

引用次数: 0

Estimating school provision, access and costs from local pupil counts under decentralised governance 在分权管理下，根据当地学生人数估算学校供应、入学机会和成本

3区地球科学

Journal of Geographical Systems Pub Date : 2023-10-05 DOI: 10.1007/s10109-023-00425-w

Chris Jacobs-Crisioni, Ana I. Moreno-Monroy, Mert Kompil, Lewis Dijkstra

引用次数: 0

JGS Editors’ choice article JGS编辑精选文章

3区地球科学

Journal of Geographical Systems Pub Date : 2023-10-01 DOI: 10.1007/s10109-023-00430-z

引用次数: 0