An Introduction to Open Source Geospatial Science for Urban Studies

Mobasheri, Amin

doi:10.1007/978-3-030-58232-6_1

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…The spectrum of projects that use open geospatial data, develop OS GIS software and implement OS GIS standards is extensive and is expected to grow even further. As a result, research and practices in the OS GIS domain with its broad range of applications has become a timely topic of interest in the geospatial community (Mobasheri, 2021).…”

Section: Introductionmentioning

confidence: 99%

Highlighting recent trends in open source geospatial science and software

Mobasheri

Mitášová

Neteler

et al. 2020

Transactions in GIS

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Over the past decade, open source software has become widely accepted across governments, industries and academia. The geospatial domain is no exception and this trend is also reflected in geospatial research and practice. Nowadays, governments and stakeholders from the business sector both participate and promote open geospatial science including open geospatial data and open source geospatial software. As a result, open source geospatial science and software (i.e., open source GIS) is a growing area of research with numerous applications and great potential. The consistent prevalence of open source GIS studies motivated this thematic collection. The contributions are divided into two main categories. In the first, novel open source geospatial software and standards are presented, each of which has been implemented for and applied to a certain use case, and at the same time may be applied to other use cases due to the reproducibility of open source software. The second category presents and discusses the applicability and usability of open source GIS solutions for various interdisciplinary domains, mostly related to urban studies.

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Section: Introductionmentioning

confidence: 99%

Highlighting recent trends in open source geospatial science and software

Mobasheri

Mitášová

Neteler

et al. 2020

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

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Rethinking Progress in Approaches and Techniques for the Urban Environmental Studies

Rahman

Roy

Talukdar

et al. 2023

GIScience and Geo-Environmental Modelling

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Volunteered mass cycling self-tracking data – grade of representation and aptitude for planning

Schnötzlinger

Brezina²,

Emberger³

2021

Transportmetrica A: Transport Science

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Until recently, bicycles have been neglected as an equitable mode of transport in urban traffic. Promoting bicycle traffic, however, is challenging since capturing the diverse behaviour of cyclists is quite difficult. Traditionally, information was point-based (traffic counting) or asked for cost-intensive and time-consuming surveys. GPS data and the popularity of digital applications are increasingly used to capture people's movement data. Thus the question arises if such data could supplement or even replace conventional methods. About 42,354 trajectories from a Vienna dataset were analysed for how representative they are, which new information they offer and whether and to what extent the data may be used for future transportation planning. The results indicate a strong correlation between GPS-recorded and counted bicycle volumes (R 2 = up to 0.95). Due to the very restricted grade of representation of 0.032-0.25%, the GPS data can create additional value but cannot replace conventional methods.

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An Introduction to Open Source Geospatial Science for Urban Studies

Cited by 3 publications

References 27 publications

Highlighting recent trends in open source geospatial science and software

Highlighting recent trends in open source geospatial science and software

Rethinking Progress in Approaches and Techniques for the Urban Environmental Studies

Volunteered mass cycling self-tracking data – grade of representation and aptitude for planning

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