R

stats19 v4.0.0 unifies column names across 45 years of data, eliminates parsing warnings, fixes a coordinate precision bug in 2024 data, and adds vehicle data cleaning and collision cost estimation tools.

Having recently acquired a new laptop, an Entroware Proteus (shown below), I had to remind myself how to set-it-up for my needs. This includes the usual things like document editing, web browsing and email.

Last week I presented at UCL’s summer school which, by all accounts, was a very successful event in which many people learned many new skills. The presentation format was a refreshing changes from the PowerPoint slides you’re often asked to prepare.

UseR! is the highest profile and, I believe, most popular annual meeting for R enthusiasts, known affectionately as ‘UseRs’ for the purposes of the event. For those who have been living under a stone for the past decade ;) R is an open source statistical programming language that has seen explosive growth since ‘data science’ became a buzzword.

I am very happy to announce that the paper stplanr: A package for transport planning has been published in The R Journal (Lovelace and Ellison 2018) 🎉. This is the result of around 3 years of work: it took us (co-author Richard Ellison and me) over a year to get round to writing the paper after the stplanr package was first released on CRAN in November 2015 (see its archive on CRAN for details); it wasn’t until March 2017 that the paper was formally submitted.

The previous post demonstrated a new method to aggregate overlapping lines. It showed how to combine 2 lines that have an area of overlap. More excitingly, it led to the creation of a new function in stplanr, overline_sf(), that lives in the development version of the package.

Introduction It’s been a busy 12 months but with the Geocomputation with R book nearing completion1 I’ve finally found some time to update my blog and do a bit of thinking, about the tangled topic of line aggregation.

I’ve finally got a new blog post, to test that my new set-up is working, using the wonderful new blogdown package. Here’s a test plot, to show how it allows R code to be embedded:

Last week I went to GEOSTAT 2016. Given the amount of fun had at GEOSTAT 2015, expectations were high. The local organisers did not disappoint, with a week of lectures, workshops, spatial data competitions and of course lots of Geostatistics.

The 23rd iteration of the GIS Research UK conference (#GISRUK) conference was the largest ever. 250 researchers, industry representatives and academics attended from the vibrant geospatial research communities in the UK, Europe and beyond.