Economics of Low-Carbon Markets workshop
Geocomputation and spatial data science for research and evidence-based policies
Open source software and research
From research to impact
Geocomputation is the application and development of computational methods for geographic data processing, analysis, modeling and visualisation with command-line tools and scripts, focussed on performance, reproducibility and modularity
Source: Geocomputation with R (Lovelace, Nowosad, and Muenchow 2019)
For more open source books see bookdown.org
Multidisciplinary event focused on the economics of low carbon markets
Methodological and empirical research
On multiple geographic scales
How can geocomputation help?
Open communication + sharing can lead to new collaborations
Cas study: paper with statisticians on modelling transport safety (Gilardi et al. 2022)
GitHub is not just for programmers (Braga et al. 2023)
Collaborative writing platorms
--- title: "Geocomputation, reproducible research and open tools to inform the transition away from fossil fuels" subtitle: "Economics of Low-Carbon Markets workshop" format: revealjs execute: cache: true bibliography: references-oldenburg.bib --- ## Abstract
Enables understanding of distributional impacts of policies, e.g. agglomeration. Source: Moreno-Monroy, Lovelace, and Ramos (2018)
Souce: Lovelace et al (2022) ‘Jittering: A Computationally Efficient Method for Generating Realistic Route Networks from Origin-Destination Data’.
How can Geocomputation be better used to support low carbon economics research?
Source: Morton et al. 2018 ‘Fuel Price Differentials and Car Ownership: A Spatial Analysis of Diesel Cars in Northern Ireland’.
See slides online at robinlovelace.net/presenations/oldenburg-2023.html
For more on zoning systems, see: Lovelace, Robin, Martijn Tennekes, and Dustin Carlino. 2022. “ClockBoard: A Zoning System for Urban Analysis.” Journal of Spatial Information Science, no. 24 (June): 63–85. https://doi.org/10.5311/JOSIS.2022.24.172.
For more on Geocomputation with R, see https://r.geocompx.org, and join our Discord server at https://discord.gg/PMztXYgNxp