Transactions in GIS最新文献_第6页

Coupling cellular automata and What If? models for residential expansion simulation: A case study of Southwest Sydney, Australia 将单元自动机和 "如果 "模型耦合用于住宅扩建模拟：澳大利亚悉尼西南部案例研究

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-14 DOI: 10.1111/tgis.13198

Yi Lu, Shawn Laffan, Christopher Pettit

{"title":"Coupling cellular automata and What If? models for residential expansion simulation: A case study of Southwest Sydney, Australia","authors":"Yi Lu, Shawn Laffan, Christopher Pettit","doi":"10.1111/tgis.13198","DOIUrl":"https://doi.org/10.1111/tgis.13198","url":null,"abstract":"The impact of urban expansion on achieving sustainable development goals (SDGs) has become a significant research topic in the field of geographic information science. In this article, we describe a coupled cellular automata (CA)—‐What If? model to explore SDG11 “Sustainable cities and communities.” The model calculates overall residential land use demand based on historical data archives using the What If? planning support system (PSS), and then allocates it using a CA model that incorporates variables related to SDG11.2.1 and 11.7.1. Historical datasets for years 2016 and 2021 from Southwest Sydney, Australia were used to assess model accuracy, after which two residential expansion scenarios (years 2021 and 2026) were generated. Based on the modeling results, the SDG‐related spatial variables can improve the overall accuracy of CA sub‐models using an XGBoost machine learning training methodology. The simulation results of these scenarios confirm the effectiveness of the coupled CA‐What If? model, which has the potential to generate more reliable scenario results than the standalone What If? PSS for modeling urban growth of cities across Australia and internationally.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141342591","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

Deep learning approaches for delineating wetlands on historical topographic maps 在历史地形图上划分湿地的深度学习方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-07 DOI: 10.1111/tgis.13193

Jakub Vynikal, Jana Müllerová, Jan Pacina

{"title":"Deep learning approaches for delineating wetlands on historical topographic maps","authors":"Jakub Vynikal, Jana Müllerová, Jan Pacina","doi":"10.1111/tgis.13193","DOIUrl":"https://doi.org/10.1111/tgis.13193","url":null,"abstract":"Historical topographic maps are an important source of a visual record of the landscape, showing geographical elements such as terrain, elevation, rivers and water bodies, roads, buildings, and land use and land cover (LULC). Historical maps are scanned to their digital representation, a raster image. To quantify different classes of LULC, it is necessary to transform scanned maps to their vector equivalent. Traditionally, this has been done either manually, or by using (semi)automatic methods of clustering/segmentation. With the advent of deep neural networks, new horizons opened for more effective and accurate processing. This article attempts to use different deep‐learning approaches to detect and segment wetlands on historical Topographic Maps 1: 10000 (TM10), created during the 50s and 60s. Due to the specific symbology of wetlands, their processing can be challenging. It deals with two distinct approaches in the deep learning world, semantic segmentation and object detection, represented by the U‐Net and Single‐Shot Detector (SSD) neural networks, respectively. The suitability, speed, and accuracy of the two approaches in neural networks are analyzed. The results are satisfactory, with the U‐Net F1 score reaching 75.7% and the SSD object detection approach presenting an unconventional alternative.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372762","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

Coupling human mobility and social relationships to predict individual socioeconomic status: A graph neural network approach 将人的流动性和社会关系结合起来，预测个人的社会经济地位：图神经网络方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-07 DOI: 10.1111/tgis.13189

Xiao Chen, Tao Pei, Ci Song, Hua Shu, Sihui Guo, Xi Wang, Yaxi Liu, Jie Chen

{"title":"Coupling human mobility and social relationships to predict individual socioeconomic status: A graph neural network approach","authors":"Xiao Chen, Tao Pei, Ci Song, Hua Shu, Sihui Guo, Xi Wang, Yaxi Liu, Jie Chen","doi":"10.1111/tgis.13189","DOIUrl":"https://doi.org/10.1111/tgis.13189","url":null,"abstract":"Understanding individual's socioeconomic status (SES) can provide supporting information for designing political and economic policies. Acquiring large‐scale economic survey data is time‐consuming and laborious. The widespread mobile phone data, which can reflect human mobility and social network characteristics, has become a low‐cost data source for researchers to infer SES. However, previous studies often oversimplify human mobility features and social network features extracted from mobile phone data into general statistical features, resulting in discounting some important temporal and relational information. Therefore, we propose a comprehensive framework for individual SES prediction that effectively utilizes a combination of human mobility and social relationships. In this framework, Word2Vec module extracts human mobility features from mobile phone positioning data, and graph neural network (GNN) module GraphSAGE captures social network characteristics constructed from call detail records. We evaluated the effectiveness of our proposed approach by training the model with real‐world data in Beijing. According to the experimental results, our proposed hybrid approach outperformed the other methods evidently, demonstrating that human mobility and social links are complementary in the characterization of SES. Coupling human mobility and social links can further deepen our understanding of cities' economic geography.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141375746","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

Predicting and analyzing crime—Environmental design relationship via GIS‐based machine learning approach 通过基于地理信息系统的机器学习方法预测和分析犯罪与环境设计之间的关系

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-05 DOI: 10.1111/tgis.13195

G. Bediroglu, Husniye Ebru Colak

引用次数: 0

HTile: A high‐performance real‐time raster tile service with data‐fusion and data‐hiding approaches HTile：采用数据融合和数据隐藏方法的高性能实时光栅瓦片服务

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-04 DOI: 10.1111/tgis.13194

Jyun‐Yuan Chen, C. Kuo

{"title":"HTile: A high‐performance real‐time raster tile service with data‐fusion and data‐hiding approaches","authors":"Jyun‐Yuan Chen, C. Kuo","doi":"10.1111/tgis.13194","DOIUrl":"https://doi.org/10.1111/tgis.13194","url":null,"abstract":"Publication of raster tile services is a widely adopted method for presenting and sharing geographically referenced data, and enhancing geographic information systems (GIS) by serving as either base layers or featured layers. However, the establishment of raster tile services can still be improved in terms of data fusion efficiency and diversity from various raster and vector sources. In addition, addressing data security concerns while maintaining flexibility to meet the requirements and expectations of clients and publishers is crucial. HTile is proposed as a solution to efficiently publish high‐performance real‐time raster tile services. This solution incorporates an innovative tile generation process that enables customized data fusion and data‐hiding and offers dynamic styling while utilizing minimal storage space, ensuring rapid response time to meet the objectives of satisfactory data protection and visualization. Implementations of HTile leverage commonly used raster and vector data, which demonstrate compelling evidence of data‐fusion and data‐hiding capacities with exceptional performance. This study makes a significant contribution to the innovation strategy in publishing raster tile services, proving a novel approach that holds promising potential for GIS paradigms in data management and sharing flexibility.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141387409","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

Integrating geospatial data and street‐view imagery to reconstruct large‐scale 3D urban building models 整合地理空间数据和街景图像，重建大规模三维城市建筑模型

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-06-04 DOI: 10.1111/tgis.13192

Changbin Wu, Xinyang Yu, Can Ma, Rongkai Zhong, Xinxin Zhou

{"title":"Integrating geospatial data and street‐view imagery to reconstruct large‐scale 3D urban building models","authors":"Changbin Wu, Xinyang Yu, Can Ma, Rongkai Zhong, Xinxin Zhou","doi":"10.1111/tgis.13192","DOIUrl":"https://doi.org/10.1111/tgis.13192","url":null,"abstract":"3D urban building modeling is a vital foundational step for building Digital Twins and Smart Cities. In response to existing challenges, such as high time costs, complex production processes, and low consistency with real‐world textures in large‐scale 3D urban building modeling methods, this research proposes a reconstructing 3D urban building models (3DUBM) approach that integrates geospatial data and street view. The approach achieves an enhanced generation of large‐scale 3DUBMs. Based on open geospatial data and street‐view imagery (SVI), the approach was tested in modeling experiments conducted in Shanghai, Hongkong, and Nanjing. Furthermore, a dataset covering unique blocks of 30 cities in China was constructed to demonstrate the approach's characteristics of large coverage, high time efficiency, high model quality and low economic cost. The accuracy of texture mapping from SVI to 3DUBM reached 85%. This achievement has significant economic value in bridging the gap in the production of large‐scale and low‐cost 3DUBM data, promoting the construction of Digital Twins, Smart Cities, and Real‐world 3D modeling.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141387833","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

GEUKE: A geographic entities uniformly explicit knowledge embedding model GEUKE：地理实体统一显性知识嵌入模型

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-05-29 DOI: 10.1111/tgis.13191

Yongquan Yang, Dehui Kong, Min Cao, Min Chen

{"title":"GEUKE: A geographic entities uniformly explicit knowledge embedding model","authors":"Yongquan Yang, Dehui Kong, Min Cao, Min Chen","doi":"10.1111/tgis.13191","DOIUrl":"https://doi.org/10.1111/tgis.13191","url":null,"abstract":"Knowledge embedding for geographic knowledge graphs can effectively improve computational efficiency and provide support for knowledge reasoning, knowledge answering and other applications of knowledge graphs. To maintain a more comprehensive understanding of spatial features through knowledge embedding, it is crucial to integrate the representation and computation of various entity types, encompassing points, lines, and polygons. This article proposes a geographic entities uniformly explicit knowledge embedding model (GEUKE). In GEUKE, spatial data of point, line, and polygon‐type geographic entities are expressed in the form of subgraphs, and space embedding is generated using a SubGNN‐based uniform spatial feature encoder. GEUKE improves the energy function in TransE to train spatial feature‐based embedding and structural‐based embedding of geographic entities into a unified vector space. Experimental results show that GEUKE has higher performance than TransE, TransH, TransD, and TransE‐GDR on link prediction and triple classification task. Within the spatial feature embedding process, GEUKE effectively preserves the inherent features of entities, encompassing location, neighborhood, and structural attributes, while simultaneously ensuring a coherent spatial data representation across all three entity types: points, lines, and polygons. By maintaining the spatial features of geographic entities and their interrelations, this capability unleashes the full potential of applications such as knowledge reasoning and geospatial question answering in a manner that is conducive to diverse geospatial scenarios.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141189144","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

Delineation of basins and hills by Morse theory and critical nets 用莫尔斯理论和临界网划分盆地和丘陵

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-05-27 DOI: 10.1111/tgis.13161

Gert W. Wolf

引用次数: 0

Incorporating mental imagery into geospatial environments for narrative visualizations 将心理想象融入地理空间环境，实现叙事可视化

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-05-27 DOI: 10.1111/tgis.13187

Ronny A. Rowe, Antoni B. Moore

{"title":"Incorporating mental imagery into geospatial environments for narrative visualizations","authors":"Ronny A. Rowe, Antoni B. Moore","doi":"10.1111/tgis.13187","DOIUrl":"https://doi.org/10.1111/tgis.13187","url":null,"abstract":"Methods for evaluating cognitively inspired geospatial interfaces have been important for revealing and helping solve their cognitive and usability issues. We argue that this is now true of interfaces in GIScience that deliver narrative visualizations, including 3D virtual narrative environments. These spaces allow for controlled conditions and realistic natural settings, where spatio‐temporal data can be collected and used to ascertain how well an interface design fulfilled a given narrative function. This study investigates the function of a cognitively inspired geospatial interface (Future Vision) that aimed to determine how mental images can be situated in geospatial environments and used to convey narratives that improve user cognition and decision‐making. The results of a two‐alternative forced‐choice (2AFC) decision‐making task showed that participants using future thinking guidance (mental images as a split‐second display of correct path choice) had statistically significant improvements in their task completion times, movement speeds and 2AFC decision‐making, compared to the unguided control group. Implications of the results include benefits for cue‐based navigation of real and conceptual spaces in GIScience. Future research can improve the interface design by modifying the interface code to reduce visual loss caused by eye blinks and saccades.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141188910","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

Accurate calculation method of terrain viewshed for wireless signal as line of sight 无线信号视线地形视图的精确计算方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-05-20 DOI: 10.1111/tgis.13188

Yiwen Wang, Wanfeng Dou

{"title":"Accurate calculation method of terrain viewshed for wireless signal as line of sight","authors":"Yiwen Wang, Wanfeng Dou","doi":"10.1111/tgis.13188","DOIUrl":"https://doi.org/10.1111/tgis.13188","url":null,"abstract":"Viewshed analysis is an important research content of digital terrain analysis. The terrain viewshed refers to the range that can be seen at the current position, which varies with the nature of the observer. When the observer is a wireless signal tower, it is the communication viewshed, which refers to the area consisted of grid cells where the receiving antennas can receive the signals from a transmitting antenna set up on a grid cell of terrain. The core of base station location problem includes two aspects: combinatorial optimization and the calculation of the coverage rate of signal. The calculation of communication viewshed is an important research content for determining signal coverage range. In this article, we propose an accurate communication viewshed computation algorithm for wireless signal (CVCWS) using the projection curve of 3D Fresnel zone analysis based on DEM. The CVCWS method can calculate the signal reception quality at different locations more precisely. Besides, a signal attenuation model is proposed to compute the theoretical attenuation value according to the signal receiving quality index. The proposed algorithm is compared with the existing DEM‐based communication viewshed algorithms, and the theoretical attenuation values are compared with the measured values. The experimental results show that the theoretical values gained by the CVCWS algorithm are close to the measured values, indicating high accuracy of the CVCWS algorithm. The proposed method can provide theoretical support for communication tower location planning and other related applications.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141119424","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