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POSTS | ROBIN LOVELACE stplanr paper published. I am very happy to announce that the paper stplanr: A package for transport planning has been published in The R Journal (Lovelace and Ellison 2018) 🎉. This is the result of around 3 years of work: it took us (co-author Richard Ellison and me) over a year to get round to writing the paper after the stplanr package COXCOMB PLOTS AND 'SPIECHARTS' IN R Coxcomb plots and 'spiecharts' in R. Last updated on Jan 1, 2021 9 min read R. After switching to a new site I decided to revive some old posts. I found this one that was written back 7 years ago (in January 2021 when this update was written), back in December 2013. The results of the book are now published in the book Low Impact Living: A SPATIAL MICROSIMULATION WITH R 6 Alternative approaches to population synthesis. This chapter briefly describes other techniques for spatial microsimulation. We have different methods, each corresponding to a section: GREGWT contains a method based on a Generalized Regression Weighting procedure.; Population synthesis as an optimization problem explains how we can make spatial microsimulation thanks to optimization SPATIAL MICROSIMULATION WITH R 2 SimpleWorld: A worked example of spatial microsimulation. This chapter focuses on the minimum input datasets needed for the classical type of microsimulation. We will use input data on the inhabitants of an imaginary world (geographical individual level) called SimpleWorld to demonstrate the basic concepts and techniques to perform spatial microsimulation with R. CHAPTER 2 GEOGRAPHIC DATA IN R Chapter 2 Geographic data in R | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic CHAPTER 4 SPATIAL DATA OPERATIONS Chapter 4 Spatial data operations | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic CHAPTER 3 ATTRIBUTE DATA OPERATIONS Chapter 3 Attribute data operations | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in CHAPTER 7 GEOGRAPHIC DATA I/O Chapter 7 Geographic data I/O | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data CHAPTER 9 BRIDGES TO GIS SOFTWARE Chapter 9 Bridges to GIS software | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in ROBIN LOVELACEPOSTSSEMINARSSEVERANCE, PARALLELS AND INTEGRATION Biography. I am Associate Professor of Transport Data Science at the Leeds Institute for Transport Studies where I research, develop and teach free, open, reproducible and internationally scalable techniques for working with data to support evidence-based policies. I am author of papers and books on transport planning, energy, geographic data POSTS | ROBIN LOVELACE stplanr paper published. I am very happy to announce that the paper stplanr: A package for transport planning has been published in The R Journal (Lovelace and Ellison 2018) 🎉. This is the result of around 3 years of work: it took us (co-author Richard Ellison and me) over a year to get round to writing the paper after the stplanr package SPATIAL MICROSIMULATION WITH R Welcome. Welcome to the online home Spatial Microsimulation with R.. This is a book by Robin Lovelace and Morgane Dumont (with chapter 10 contributed by Johan Barthélemy, chapter 11 contributed by Richard Ellison and David Hensher and chapter 12 contributed by Maja Založnik).. It is published by CRC Press. See their online store if you’d like to buy a copy. . If you’d like to crack on GEOCOMPUTATION WITH R Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with HUMAN COMPATIBLE BOOK REVIEW Review. I recently completed the book Human Compatible by Professor of Computer Science at Berkeley, Stuart Russell (Russell 2019).The first book on the subject I have read, it greatly enhanced my understanding of a complex subject and made me feel compelled to write a brief review, for the benefit of myself (I’m still consolidating my understanding of the books key ideas and find that SPATIAL MICROSIMULATION WITH R 12.1 Note. This is a preview version of a chapter in the book Spatial Microsimulation with R (Lovelace and Dumont 2016), published by CRC Press.. This chapter, contributed by Maja Založnik, is the most advanced chapter of the book. 41 It covers one of the most enticing and potentially useful extensions of the methods developed in the book: agent-based modelling (ABM). CHAPTER 6 REPROJECTING GEOGRAPHIC DATA Chapter 6 Reprojecting geographic data | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested inCHAPTER 14 ECOLOGY
Chapter 14 Ecology | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including CHAPTER 1 INTRODUCTION Chapter 1 Introduction | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data CHAPTER 12 TRANSPORTATION Chapter 12 Transportation | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data ROBIN LOVELACEPOSTSSEMINARSSEVERANCE, PARALLELS AND INTEGRATION Biography. I am Associate Professor of Transport Data Science at the Leeds Institute for Transport Studies where I research, develop and teach free, open, reproducible and internationally scalable techniques for working with data to support evidence-based policies. I am author of papers and books on transport planning, energy, geographic data POSTS | ROBIN LOVELACE stplanr paper published. I am very happy to announce that the paper stplanr: A package for transport planning has been published in The R Journal (Lovelace and Ellison 2018) 🎉. This is the result of around 3 years of work: it took us (co-author Richard Ellison and me) over a year to get round to writing the paper after the stplanr package SPATIAL MICROSIMULATION WITH R Welcome. Welcome to the online home Spatial Microsimulation with R.. This is a book by Robin Lovelace and Morgane Dumont (with chapter 10 contributed by Johan Barthélemy, chapter 11 contributed by Richard Ellison and David Hensher and chapter 12 contributed by Maja Založnik).. It is published by CRC Press. See their online store if you’d like to buy a copy. . If you’d like to crack on GEOCOMPUTATION WITH R Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with HUMAN COMPATIBLE BOOK REVIEW Review. I recently completed the book Human Compatible by Professor of Computer Science at Berkeley, Stuart Russell (Russell 2019).The first book on the subject I have read, it greatly enhanced my understanding of a complex subject and made me feel compelled to write a brief review, for the benefit of myself (I’m still consolidating my understanding of the books key ideas and find that SPATIAL MICROSIMULATION WITH R 12.1 Note. This is a preview version of a chapter in the book Spatial Microsimulation with R (Lovelace and Dumont 2016), published by CRC Press.. This chapter, contributed by Maja Založnik, is the most advanced chapter of the book. 41 It covers one of the most enticing and potentially useful extensions of the methods developed in the book: agent-based modelling (ABM). CHAPTER 6 REPROJECTING GEOGRAPHIC DATA Chapter 6 Reprojecting geographic data | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested inCHAPTER 14 ECOLOGY
Chapter 14 Ecology | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including CHAPTER 1 INTRODUCTION Chapter 1 Introduction | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data CHAPTER 12 TRANSPORTATION Chapter 12 Transportation | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data REFLECTIONS ON 2020 AND IDEAS FOR 2021 Reflections on 2020 and ideas for 2021. Last updated on Jan 1, 2021 8 min read. 2020 has been a crazy year all-round with US elections, Brexit negotiations reaching their conclusions and of course the global pandemic that has swept across countries and disrupted lives worldwide. Looking back over the year a huge amount has changed and Iwanted
POSTS | ROBIN LOVELACE stplanr paper published. I am very happy to announce that the paper stplanr: A package for transport planning has been published in The R Journal (Lovelace and Ellison 2018) 🎉. This is the result of around 3 years of work: it took us (co-author Richard Ellison and me) over a year to get round to writing the paper after the stplanr package SPATIAL MICROSIMULATION WITH R 12.1 Note. This is a preview version of a chapter in the book Spatial Microsimulation with R (Lovelace and Dumont 2016), published by CRC Press.. This chapter, contributed by Maja Založnik, is the most advanced chapter of the book. 41 It covers one of the most enticing and potentially useful extensions of the methods developed in the book: agent-based modelling (ABM). CHAPTER 1 INTRODUCTION Chapter 1 Introduction | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data SPATIAL MICROSIMULATION WITH R 6 Alternative approaches to population synthesis. This chapter briefly describes other techniques for spatial microsimulation. We have different methods, each corresponding to a section: GREGWT contains a method based on a Generalized Regression Weighting procedure.; Population synthesis as an optimization problem explains how we can make spatial microsimulation thanks to optimization SPATIAL MICROSIMULATION WITH R 2 SimpleWorld: A worked example of spatial microsimulation. This chapter focuses on the minimum input datasets needed for the classical type of microsimulation. We will use input data on the inhabitants of an imaginary world (geographical individual level) called SimpleWorld to demonstrate the basic concepts and techniques to perform spatial microsimulation with R. CHAPTER 4 SPATIAL DATA OPERATIONS Chapter 4 Spatial data operations | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic CHAPTER 3 ATTRIBUTE DATA OPERATIONS Chapter 3 Attribute data operations | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in CHAPTER 9 BRIDGES TO GIS SOFTWARE Chapter 9 Bridges to GIS software | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in WHAT IS SPATIAL MICROSIMULATION? · SPATIAL MICROSIMULATION What is spatial microsimulation? Like many words, the meaning attributed to the term spatial microsimulation varies from one user to the next. As the eminent physicist Richard Feynman has stated, the “difference between knowing the name of something andSEARCH
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Robin Lovelace __
Robin Lovelace
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Light Dark AutomaticROBIN LOVELACE
ASSOCIATE PROFESSOR OF TRANSPORT DATA SCIENCEUNIVERSITY OF LEEDS
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BIOGRAPHY
I am Associate Professor of Transport Data Science at the Leeds Institute for Transport Studies where I research, develop and teach free, open, reproducible and internationally scalable techniques for working with data to support evidence-based policies. I am author of papers and books on transport planning, energy, geographic data analysis and modelling. I lead the Transport Data Science module , which is available to students taking Data Science and Data Analyticsand
Data Science and Urban Analytics courses at the University of Leeds.INTERESTS
* Geocomputation
* Transport modelling * Reproducible geographic data analysis * Mode shift, especially uptake of active modesEDUCATION
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PhD in Transport and Energy, 2013 University of Sheffield* __
MSc in Environmental Science and Management, 2009University of York
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BSc in Environmental Geography, 2008 University of Bristol FEATURED PUBLICATIONS Robin Lovelace January 2021 _Journal of Geographical Systems_ OPEN SOURCE TOOLS FOR GEOGRAPHIC ANALYSIS IN TRANSPORT PLANNING Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent tools of the trade are proprietary and were developed to support growth in motor traffic, limiting their utility for transport planners who have been tasked with twenty-first century objectives such as enabling citizen participation, reducing pollution, and increasing levels of physical activity by getting more people walking and cycling. Geographic techniques— such as route analysis, network editing, localised impact assessment and interactive map visualisation— have great potential to support modern transport planning priorities. The aim of this paper is to explore emerging open source tools for geographic analysis in transport planning, with reference to the literature and a review of open source tools that are already being used. A key finding is that a growing number of options exist, challenging the current landscape of proprietary tools. These can be classified as command-line interface, graphical user interface or web-based user interface tools and by the framework in which they were implemented, with numerous tools released as R, Python and JavaScript packages, and QGIS plugins. The review found a diverse and rapidly evolving ecosystem tools, with 25 tools that were designed for geographic analysis to support transport planning outlined in terms of their popularity and functionality based on online documentation. They ranged in size from single-purpose tools such as the QGIS plugin AwaP to sophisticated stand-alone multi-modal traffic simulation software such as MATSim, SUMO and Veins. Building on their ability to re-use the most effective components from other open source projects, developers of open source transport planning tools can avoid `reinventing the wheel' and focus on innovation, the ‘gamified’A/B Street
software, based on OpenStreetMap, a case in point. The paper, the source code of which can be found at github.com/robinlovelace/open-gat , concludes that, although many of the tools reviewed are still evolving and further research is needed to understand their relative strengths and barriers to uptake, open source tools for geographic analysis in transport planning already hold great potential to help generate the strategic visions of change and evidence that is needed by transport planners in the twenty-first century.Cite Code DOI
Robin Lovelace , Jakub Nowosad, Jannes Muenchow
January 2019 _CRC Press_ GEOCOMPUTATION WITH R Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.Cite Code
RECENT PUBLICATIONS
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__ Rafael A. dos Reis , Susan Grant-Muller , Robin Lovelace, Frances Hodgson
(2020). Different People, Different Incentives? Examining the Public Acceptance of Smartphone-Based Persuasive Strategies for Sustainable Travel Using Psychographic Segmentation . _International Journal of Sustainable Transportation_.Cite DOI
__ Robin Lovelace , Roger Beecham , Eva Heinen , Eugeni Vidal Tortosa , Yuanxuan Yang , Chris Slade , Antonia Roberts (2020). Is the London Cycle Hire Scheme Becoming More Inclusive? An Evaluation of the Shifting Spatial Distribution of Uptake Based on 70 Million Trips . _Transportation Research Part A: Policy and Practice_.Cite DOI
__ Robin Lovelace , John Parkin , Tom Cohen (2020). Open Access Transport Models: A Leverage Point in Sustainable Transport Planning . _Transport Policy_.Cite Video DOI
__ Robin Lovelace , Joseph Talbot, Malcolm Morgan ,
Martin Lucas-Smith (2020). Methods to Prioritise Pop-up Active Transport Infrastructure . _Transport Findings_.Cite DOI
__ Andrea Gilardi , Robin Lovelace (2020). Street Networks in R. _OSF_.
Cite DOI
See all publications __RECENT POSTS
CYCLEWAYS IN EAST LEEDS: A PHOTOBLOG Taking advantage of a sunny Sunday, a friend and I decided to check-out some recent active travel infrastructure developments in East Leeds. We planned the route around two destinations and one well-established route: Last updated on Apr 11, 2021 6 min read __cycling HUMAN COMPATIBLE BOOK REVIEW Rating Highly recommended, 5/5. One sentence review Outstanding and original description of artificial intelligence (AI) in the 21st Century, the problems it could pose, and a lucid proposal for ‘provably beneficial AI. Last updated on Feb 21, 2021 7 min read __reviews OPEN SCIENCE IN TRANSPORTATION WORKSHOP Today I am presenting at the Transport Research Board’s 2021 Annual meeting, aka #TRB2021. I say ‘presenting’ but in fact, the talk was a pre-record - see the video below! Last updated on Jan 21, 2021 1 min read __talk REFLECTIONS ON 2020 AND IDEAS FOR 2021 2020 has been a crazy year all-round with US elections, Brexit negotiations reaching their conclusions and of course the global pandemic that has swept across countries and disrupted livesworldwide.
Last updated on Jan 1, 2021 8 min read EVIDENCE TO PRIORITISE POP-UP CYCLEWAYS I gave a talk today at the ‘Ideas with Beers’ seminar series, hosted each Tuesday for the past several months by Brian Deegan, an experienced transport infrastructure engineer and Principal Design Engineer at Urban Movement. May 26, 2020 2 min read __cyclingSee all posts __
RECENT & UPCOMING TALKS INVITED TALK: REPRODUCIBLE RESEARCH TO INFORM POLICY Jun 24, 2021 4:00 PM University of Oxford OPEN SOURCE TOOLS FOR GEOGRAPHIC AND TRANSPORT RESEARCHOn
Thursday
25th February
,
we will be hosting our next virtual ReproducibiliTea journal club session. The paper we will be discussing … Feb 25, 2021 1:30 PM — 2:30 PMCode Slides
OPEN ACCESS TRANSPORT MODELS The talk explores the concepts, demonstrate some evolving new tools and discuss future avenues of research and development. Feb 16, 2021 3:00 PM — 4:00 PMCode
Slides
OPEN ACCESS TRANSPORT MODELS: FROM COLLABORATIVE CODE TO CITIZENSCIENCE
Jan 21, 2021 8:30 PM — 9:00 PM OnlineCode
Project Slides
Video
SEMINAR FOR THE ONLINE WHY R CONFERENCE I was invited to co-present on the topic of Recent changes in R spatial at the Why R conference which, like many other events, has moved on-line. Event link: meetup. Apr 23, 2020 12:00 AMSee all events __
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