18 hours, 50 miles, some fun and lots of pain. A write up on how the day went, and a lesson on just because you say you will do something, it doesn’t necessarily mean you should.
Some examples of using animated plots with geospatial data.
A short introduction on how to use R to produce data-driven flowcharts.
I have been delaying it for a while, but I finally decided to move to blogdown. This post is designed to quickly capture my reasons for me changing, and highlight some of the features that may make you consider doing the same. Note: this post does not intend to be a full tutorial on how to set up your blog.
For my PhD research, I needed to collect local political data for the UK. This article documents the data sources and procedure used to create a suitable dataset for my analysis, and allows for the analysis to be easily reproduced for use within your own workflow/
Learn why you should consider the benefits of RMarkdown for doing data-driven research. This post shares a presentation which I gave to the Spatial Modelling group, and provides some useful resources for futher reading.
Although R is widely used for data processing and statistical modelling, it is less frequently known for its powers of handing Geospatial Data. This presentation is aimed to show people the benefits of using R in their analyses, and provides practical guidance on how to get started on your first project.
Conference paper presented at ECOS 2017 on my research into understanding why some wind farms are more successful than others.
Back in May 2016, a friend and I undertook one of the challenges which we had wanted to do for years and cycled the length of the United Kingdom from Land’s End to John O’ Groats. It was a fantastic experience and something I would love to do again one day. This blog provides a summary of our trip and aims to aid anyone who may be planning their own trip.
Data scientist with interests in data visualisation, machine learning, geospatial modelling, energy and international development.
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