Spatial data and maps conference – FOSS4G

I’m helping organise a conference on (geo)spatial open source software – FOSS4G. We’re hosting it in the great city of Edinburgh, Scotland in September 2019. Abstract submissions: https://uk.osgeo.org/foss4guk2019/talks_workshops.html We’re very interested in hearing… Continue reading →

Git push to multiple remotes

Like many, I develop work in a closed environment. But when a project is nearing completion I want to release it into the wild. My research needs to be supported by available code,… Continue reading →

Plotting Scottish census data with some tidyverse magic

I’ve been working with the Scottish census recently, to investigate employment in land-based (agriculture, forestry and fishing) industry. A friend of mine has recently moved to Dumfries and Galloway – a rural, farming… Continue reading →

I fell out with tapply and in love with dplyr

dplyr is much more useful than tapply, read on to find out why.

Monitoring electricity use

Find out how to use R to summarise electricity use by hour or day.

Many reports from 1 RMarkdown file

I was at the EdinbR talk this week by the RStudio community lead – Curtis Kephart. It was really interesting, but I disagree with his suggestion to point and click different parameters when… Continue reading →

Presenting survey data

Use R to present findings from likert questions in surveys.

Ordnance Survey Terrain 50: merging in R

I’ve written previously about Ordnance Survey’s Terrain 50 data and how you can merge it together. You can download the dataset from the OS’s opendata repo. I’d like to update that post with… Continue reading →

GB postcode polygons – open data

Newly published postcode open data!

dplyr, (mc)lapply, for-loop and speed

Want to know whether lapply is quicker than a for-loop? Is there a faster solution? This is the place!