“streetscape” package in R: A reproducible method for analyzing open-source street view datasets and facilitating research for urban analytics

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-21 DOI:10.1016/j.softx.2024.101981

Xiaohao Yang, Mark Lindquist, Derek Van Berkel

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引用次数: 0

Abstract

Street view imagery (SVI) is an increasingly important data source for urban analytics and environmental researchers studying the visual quality of the built environment. Compared to remote sensing imagery, SVI can provide a different plane of perspective at ground level and better determine the interplay between urban physical settings and socio-ecological factors that enhance well-being and sustainability. Mapillary, a platform for volunteered street view imagery, has emerged as a promising alternative to Google Street View, offering greater accessibility. Nonetheless, the utility of this open-source database can be limited by the current Mapillary Application Programming Interface (API), which only partially meets the needs of urban analytics research. To address this, we introduce "streetscape," an R package designed to provide user-friendly functions for collecting and analyzing street view imagery data from Mapillary. In addition, the package supports the generation of surveys for the qualitative study of urban landscapes.

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R 中的 "streetcape "软件包：分析开源街景数据集和促进城市分析研究的可复制方法

对于研究建筑环境视觉质量的城市分析和环境研究人员来说，街景图像（SVI）是一个日益重要的数据源。与遥感图像相比，街景图像可以提供不同的地面视角，更好地确定城市物理环境与社会生态因素之间的相互作用，从而提高幸福感和可持续性。Mapillary 是一个自愿提供街景图像的平台，它的出现为谷歌街景提供了更大的可访问性，是一个很有前途的替代品。然而，当前的 Mapillary 应用编程接口（API）只能部分满足城市分析研究的需求，从而限制了这一开源数据库的实用性。为了解决这个问题，我们引入了 "streetcape"，这是一个 R 软件包，旨在为从 Mapillary 收集和分析街景图像数据提供用户友好型功能。此外，该软件包还支持生成用于城市景观定性研究的调查问卷。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.