House prices

3D visualisation of GB house prices using three.js.


Interactive map of Townsend deprivation scores


An R package to make spatial microsimulation (‘raking’) as easy as possible.

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Doncaster Festival of Research 2017 On Friday 20 October I was delighted to present a poster at the Doncaster Festival of Research 2017 Fringe Event in Denaby and Cadeby Miner’s Welfare in Denaby Main. With my poster I tried to summarise my doctoral research, which is challenging because it’s probably most relevant for a policy and practitioner audience. I hope it was useful for the people who came to talk to me about it.


I’ve patched rakeR on CRAN to v0.2.1 to fix a couple of problems in the examples and tests, which were using old labels and failing on some machines (thanks to Derek Atherton for the feedback). I’ve also updated the documentation website to use the new pkgdown template to be consistent with other R packages, most notably the tidyverse. And, that’s about it. If you’re using v0.2.0 and are happy there are no changes to the API to worry about.


I am absolutely delighted to announce that the latest version of rakeR, version 0.2.0, is on CRAN. You can install it in R or RStudio with: install.packages("rakeR") DOI rakeR now has a DOI. This is probably more useful for me than it is for you but nevertheless, if you use rakeR please be sure to cite it and use the DOI: Changes and improvements Speed improvements in integerise() The most noticeable change is that the integerise() step, which previously took hours on a reasonable–sized data set, now takes minutes.