Resources

Reproducibility

Reproducible Research with R for Urbanists workshop

Introduction

• slides

Organisation

• slides

Automation

• lesson
• script

Documentation

• slides
• R Markdown document

Dissemination

• slides

Wrap-up

• slides

General resources on reproducibility

• The Turing Way handbook to reproducible, ethical and collaborative data science - Guide for Reproducible Research

For R users

• R Workflow
• Reproducible Research Data and Project Management in R
• The holepunch package
• rrtools: Tools for Writing Reproducible Research in R
• Building reproducible analytical pipelines with R - This is an excellent book written by Bruno Rodrigues a practicing data scientist who is an advocate of software engineering in the field of data science. The book provides an in-depth overview of the tools, practices and techniques for reproducible analytical pipelines (RAPs). The book does not teach R programming basics, nor does it cover statistics and visualisation. The language is accessible and non-academic, with multiple references to the pains encounters by data science practitioners due to the lack of reproducibility.
• Getting started with R Markdown (episode part of the R for Social Scientists Data Carpentry curriculum) - 1 hour

From urbanism research

• GIS and Computational Notebooks
• Evolution of Urban Patterns: Urban Morphology as an Open Reproducible Data Science
• Reproducible Graduate Theses in GIScience

Scalability

Scalable GIS workshop

• Workshop program: link

• Introduction: slides

• Introduction to Big Geodata Insfrastricture, by Serkan Girgin: slides

• SURF infrastructure, by Natalie Danezi: slides

• Tutorial 1 - Scaling up the analysis of urban form, by Lukas Beuster: repository

• Tutorial 2 - Scaled-up network analysis using the RS DAT framework, by Francesco Nattino & Ou Ku: repository

• Scale-up exercise in groups: assignments

• Wrap-up: slides