Want to know whether lapply is quicker than a for-loop? Is there a faster solution? This is the place!
Slides from January 2018 EdinbR session on spatial data in R.
Network analysis presentation from the 7th Scottish QGIS user group. Featuring Ordnance Survey open data, QGIS, GRASS and R.
This is part two in a series I’m writing on network analysis. The first part is here. In this section I’m going to cover allocating resources, again using the St James’ development in Edinburgh as an example. Most excitingly (for me) the end of this post covers the impact of changes in resource allocation.
In April I spoke for the Royal Statistical Society (Glasgow branch) at their event celebrating 20 years of CRAN. The other speakers were Charis Chanialidis and Colin Gillespie. Like most people I find… Continue reading
The database PostgreSQL can have different schemas. These work like a window for users, where they get to see specific things within a database, e.g. tables. In this post we’ll look at how… Continue reading
I’ve been having a more sustained play with R and GRASS together. I’ve previously used them, in tandem, for processing satellite images, but haven’t been much further. In this post I’ll look at… Continue reading
When you write an ESRI Shapefile from R, writeOGR assumes your numeric fields are real numbers and so you get a lot of redundant zeros appended. This is misleading and distracting when you… Continue reading
Ordnance Survey have a great OpenRoads dataset, but unfortunately it contains a column called ‘primary’, which is a keyword in SQL. This makes it challenging/impossible to import the OpenRoads dataset into a SQL… Continue reading
I was supplied spatial point data this summer where the locations were detailed in Ordnance Survey’s National Grid (NGR) format. If you’re not familiar with it, rather than using eastings and northings (in… Continue reading