This week we had our first ever Python Coding Dojo! Around 25 current and former undergraduate students, PhDs and staff got together for evening of coding, pizza and fun.
I’m really pleased to share a piece that Dani Arribas-Bel and I recently co-authored in Geography Compass on the sometimes fraught relationship between (human) geography and computers, and advocating for the creation of a Geographic Data Science. For those of a ‘TL; DR’ nature (or without the privilege of an institutional subscription!), we wanted to share some of our key ideas in a more accessible format.
Over the past year, we’ve been supporting our first cohort of Geocomputation & Spatial Analysis (GSA) students as they learn to code and work with geo-data in an open computing context (predominantly FOSS). This post reflects on some of the problems – and solutions – that emerged as a result.
While working with Naru to design our new 2nd year GIS methods training course (with parallel QGIS and ArcGIS streams!), I came across a rather striking map on the ESRI blog that managed to combine both slope (steepness) and aspect (direction) in a single representation. This post explains both a problem with the way that the colour scheme was specified and how to replicate this type of map in QGIS (with style sheet).
We’re looking for someone with a passion for teaching and research that uses quantitative and computational methods to understand geographical systems. If that sounds like you, submit your application for the position of Lecturer in Spatial Analysis at King’s College London.
On Friday 18 December, we hosted a workshop on ‘the future of geocomputation’ involving over 30 researchers from across the UK and Ireland. We’re still working to synthesise and write up the discussions that made up the second half of the workshop, but below are the presentations that kicked off the day. Some of the tweets from the day are embedded below but from more see our storify for the day or search #fogeocomp.
Today is the first day of our new Gecomputation and Spatial Analysis (GSA) pathway on our undergraduate degree. Over the summer Jon Reades, Naru Shiode and I have been developing module material and today we (well, Jon and I) finally get to use it with our students. We provide a very brief overview of the pathway on the About page of this website, but I thought today is opportune moment to discuss it in a little more depth.