ShpStreetGraph:从街道空间关系到图形表示法

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software Impacts Pub Date : 2024-10-18 DOI:10.1016/j.simpa.2024.100711
Pablo V.R. Silva , Aurelienne A.S. Jorge , Leonardo B.L. Santos , Vander L.S. Freitas
{"title":"ShpStreetGraph:从街道空间关系到图形表示法","authors":"Pablo V.R. Silva ,&nbsp;Aurelienne A.S. Jorge ,&nbsp;Leonardo B.L. Santos ,&nbsp;Vander L.S. Freitas","doi":"10.1016/j.simpa.2024.100711","DOIUrl":null,"url":null,"abstract":"<div><div>Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"22 ","pages":"Article 100711"},"PeriodicalIF":1.3000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ShpStreetGraph: From spatial relations of streets to graph representations\",\"authors\":\"Pablo V.R. Silva ,&nbsp;Aurelienne A.S. Jorge ,&nbsp;Leonardo B.L. Santos ,&nbsp;Vander L.S. Freitas\",\"doi\":\"10.1016/j.simpa.2024.100711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability.</div></div>\",\"PeriodicalId\":29771,\"journal\":{\"name\":\"Software Impacts\",\"volume\":\"22 \",\"pages\":\"Article 100711\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Software Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S266596382400099X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266596382400099X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

基于图形的模型是分析空间实体间结构和内在关系的相关工具。在此,我们介绍 ShpStreetGraph,这是一款利用形状文件构建地理图表的软件,明确侧重于街道数据集。在这一框架中,节点代表街道,链接是地理关系,如交叉口或邻近性。该工具为网络构建提供了一系列标准,使用户能够高效地对城市街道网络进行建模和分析。事实证明,在处理大型网络时,ShpStreetGraph 比同类工具更快,从而证明了它的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
ShpStreetGraph: From spatial relations of streets to graph representations
Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
期刊最新文献
mGFD: CloudGenerator SlabCutOpt: A code for ornamental stone slab cut optimization LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond EnhancedBERT: A python software tailored for arabic word sense disambiguation PostgreSQL: Relational database structures application on capacitated lot-sizing for pharmaceutical tablets manufacturing processes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1