Transactions in GIS最新文献_第9页

A deep pedestrian trajectory generator for complex indoor environments 适用于复杂室内环境的深度行人轨迹生成器

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-02-15 DOI: 10.1111/tgis.13143

Zhenxuan He, Tong Zhang, Wangshu Wang, Jing Li

{"title":"A deep pedestrian trajectory generator for complex indoor environments","authors":"Zhenxuan He, Tong Zhang, Wangshu Wang, Jing Li","doi":"10.1111/tgis.13143","DOIUrl":"https://doi.org/10.1111/tgis.13143","url":null,"abstract":"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 model to synthesize pedestrian trajectory data. IPTG first produces feature sequences that encode the spatial–temporal and semantic features of the walking process and then interpolates them into complete trajectories using A* and perturbation algorithms. IPTG has specially designed loss functions that preserve topological constraints and semantic characteristics. Incorporating the prior knowledge of environment constraints and pedestrian walking patterns, the IPTG model is capable of generating topologically and logically sound indoor pedestrian trajectories. We evaluated the synthesized trajectories based on multiple metrics and examined the generated trajectories qualitatively. The results show that IPTG outperforms several baselines, demonstrating its ability to generate semantically meaningful and spatiotemporally coherent trajectories.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771713","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

Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix 分析城市撞车事故：利用时空权重矩阵的先进内生方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-02-14 DOI: 10.1111/tgis.13138

Reza Mohammadi, Mohammad Taleai, Philipp Otto, Monika Sester

{"title":"Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix","authors":"Reza Mohammadi, Mohammad Taleai, Philipp Otto, Monika Sester","doi":"10.1111/tgis.13138","DOIUrl":"https://doi.org/10.1111/tgis.13138","url":null,"abstract":"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 STWM integrates external covariates, including road network topological measurements and economic variables, offering a more comprehensive view of the spatiotemporal dependence of road accidents. To evaluate the functionality of the presented STWM, random effect eigenvector spatial filtering analysis is employed on Boston's traffic accident data from January to March 2016. The STWM improves analysis, surpassing distance-based SWM with a lower residual standard error of 0.209 and a higher adjusted R2 of 0.417. Furthermore, the study emphasizes the influence of road length on crash incidents, spatially and temporally, with random standard errors of 0.002 for spatial effects and 0.026 for non-spatial effects. This is particularly evident in the north and center of the study area during specific periods. This information can help decision-makers develop more effective urban development models and reduce future crash risks.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"9 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771708","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

Spatiotemporal stacking method with daily-cycle restrictions for reconstructing missing hourly PM2.5 records 带日周期限制的时空堆叠法重建缺失的 PM2.5 小时记录

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-02-13 DOI: 10.1111/tgis.13141

Chuanfa Chen, Kunyu Li

{"title":"Spatiotemporal stacking method with daily-cycle restrictions for reconstructing missing hourly PM2.5 records","authors":"Chuanfa Chen, Kunyu Li","doi":"10.1111/tgis.13141","DOIUrl":"https://doi.org/10.1111/tgis.13141","url":null,"abstract":"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 station with missing values are selected at a daily scale. Subsequently, the non-null data within the ST neighbors undergo an iterative P-BSHADE interpolation process for re-interpolation. Next, a stacking ML model is constructed using the re-interpolation values and several environmental factors associated with PM2.5 as the predictors, while the observed PM2.5 is taken as the independent variable. Finally, the missing values are reconstructed by inputting the predictors into the trained stacking model. The study utilized hourly PM2.5 data in the Beijing-Tianjin-Hebei region as a case study to assess the effectiveness of the proposed method, using daily missing ratios of 10%, 30%, and 50%, respectively. The accuracy of the proposed method was then compared to four contemporary ST interpolation methods. The results indicate that the proposed method exhibits superior performance compared to the classical methods. Specifically, it achieves a reduction in the average root mean square error and mean absolute error by at least 40.6% and 40.1%, respectively. Additionally, the proposed method demonstrates the successful recovery of extreme values in the hourly PM2.5 records, in contrast to the classical methods which often exhibit a tendency to overestimate low values and underestimate high values. Overall, the proposed method presents a viable and efficient approach to recover missing values in the hourly PM2.5 records that demonstrate evident daily periodic patterns.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"37 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771676","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

Adapting moving-window metrics to vector datasets for the characterization and comparison of simulated urban scenarios 根据矢量数据集调整移动窗口指标，以确定模拟城市场景的特征并进行比较

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-02-09 DOI: 10.1111/tgis.13139

Ramón Molinero-Parejo, Francisco Aguilera-Benavente, Montserrat Gómez-Delgado

{"title":"Adapting moving-window metrics to vector datasets for the characterization and comparison of simulated urban scenarios","authors":"Ramón Molinero-Parejo, Francisco Aguilera-Benavente, Montserrat Gómez-Delgado","doi":"10.1111/tgis.13139","DOIUrl":"https://doi.org/10.1111/tgis.13139","url":null,"abstract":"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 spatial moving-window metrics, a useful mechanism for extracting accurate information from simulated land-use maps on urban diversity and urban growth patterns. This article seeks to explore this question further and has two main aims. First, to develop and implement vSHEI and vLEI, two multiscale composition and configuration vector moving-window metrics for calculating urban diversity and urban growth patterns. Second, to test these metrics using the spatially explicit simulation of three prospective scenarios in the Henares Corridor (Spain), comparing the results and analyzing how well the scenario narratives match their spatial configuration, as measured using vSHEI and vLEI. Via the implementation of vSHEI and vLEI, we obtained urban diversity and urban expansion values at a local level, offering more precise and more realistic, mappable information on the composition and configuration of urban land use than that provided by raster metrics or by vector Patch-Matrix model metrics. We also used these metrics to test whether the simulated scenarios matched their description in the narrative storylines. Our results demonstrate the potential of vector moving-window metrics for characterizing the urban patterns that might develop under different scenarios at the parcel level.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"9 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139771711","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

A data-driven adaptive geospatial hotspot detection approach in smart cities 智慧城市中数据驱动的自适应地理空间热点检测方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-02-02 DOI: 10.1111/tgis.13137

Yuchen Yan, Wei Quan, Hua Wang

引用次数: 0

Identify social and job disparities in the relationship between job-housing balance and urban commuting using Baidu trajectory big data 利用百度轨迹大数据识别职住平衡与城市通勤关系中的社会和工作差异

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-01-18 DOI: 10.1111/tgis.13135

Lei Zhou, Weiye Xiao, Han Li, Chen Wang, Xueqin Wang, Zhenlong Zheng

{"title":"Identify social and job disparities in the relationship between job-housing balance and urban commuting using Baidu trajectory big data","authors":"Lei Zhou, Weiye Xiao, Han Li, Chen Wang, Xueqin Wang, Zhenlong Zheng","doi":"10.1111/tgis.13135","DOIUrl":"https://doi.org/10.1111/tgis.13135","url":null,"abstract":"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 status and job types. Origin–destination analysis indicates that job-housing relationships for commercial and public service sectors are balanced in the urban core, whereas, for the secondary sector, the relationship is more balanced in the suburban area compared to the central urban area. Network analysis further reveals the presence of self-contained communities for the secondary sector in peripheral areas. We find that high-income workers in the secondary sector experience longer commuting distances, in contrast to their counterparts in the commercial and public service sectors. These insights underscore the significance of considering workers' skills in urban and economic planning.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"110 1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139501373","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

Developments in deep learning for change detection in remote sensing: A review 遥感变化检测深度学习的发展：综述

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-01-17 DOI: 10.1111/tgis.13133

Gaganpreet Kaur, Yasir Afaq

{"title":"Developments in deep learning for change detection in remote sensing: A review","authors":"Gaganpreet Kaur, Yasir Afaq","doi":"10.1111/tgis.13133","DOIUrl":"https://doi.org/10.1111/tgis.13133","url":null,"abstract":"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 been a valuable resource for the scientific community. Researchers have developed numerous approaches for change detection, and the proposed work provides a summary of the most recent ones. Additionally, it introduces the common DL techniques used for detecting changes in satellite photos. The meta-analysis conducted in this article serves two purposes. Firstly, it tracks the evolution of change detection in DL investigations, highlighting the advancements made in this field. Secondly, it utilizes powerful DL-based change detection algorithms to determine the best strategy for monitoring changes at different resolutions. Furthermore, the proposed work thoroughly analyzes the performance of several DL approaches used for change detection. It discusses the strengths and limitations of these approaches, providing insights into their effectiveness and areas for improvement. The article also discusses future directions for DL-based change detection, emphasizing the need for further research and development in this area.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"11 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139495375","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

Combining error models to reduce the imprecision of geometric length measurement in vector databases 结合误差模型减少矢量数据库中几何长度测量的不精确性

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-01-16 DOI: 10.1111/tgis.13132

Jean-François Girres

引用次数: 0

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components 环境科学研究数据基础设施--以软件组件集成为重点的挑战和实施方法

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-01-11 DOI: 10.1111/tgis.13131

Christin Henzen, Arne Rümmler, Heiko Figgemeier, Michael Wagner, Lars Bernard, Ralph Müller-Pfefferkorn

引用次数: 0

Construction of an open knowledge framework for geoscientific models 构建地球科学模型的开放式知识框架

IF 2.4 3区地球科学

Transactions in GIS Pub Date : 2024-01-10 DOI: 10.1111/tgis.13134

Kai Xu, Songshan Yue, Qingbin Chen, Jin Wang, Fengyuan Zhang, Yijie Wang, Peilong Ma, Yongning Wen, Min Chen, Guonian Lü

{"title":"Construction of an open knowledge framework for geoscientific models","authors":"Kai Xu, Songshan Yue, Qingbin Chen, Jin Wang, Fengyuan Zhang, Yijie Wang, Peilong Ma, Yongning Wen, Min Chen, Guonian Lü","doi":"10.1111/tgis.13134","DOIUrl":"https://doi.org/10.1111/tgis.13134","url":null,"abstract":"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, metadata documents, and web pages) are scattered and varied in structure and content. To help model users from different disciplinary backgrounds find, access, implement, and reuse models more conveniently, we propose an open knowledge framework for geoscientific models. The knowledge framework includes three levels: a resource level for indicating where to find a model, a connection level for indicating what materials are related to a model, and an application level for indicating how the model is applied. Through such a three-level framework, model users can collaboratively provide descriptive information for a model, link different materials to a model (e.g., data, references, and tools), and contribute experiences regarding model application in practical cases (as reusable solutions). Thus, a web-based community can be formed to facilitate the better use of geoscientific models. This article introduces the Open Geographic Modeling and Simulation System (OpenGMS) as the implementation of this open knowledge framework. Case studies are given to showcase the effectiveness and capability of the proposed framework.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"29 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139423521","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