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Michael Spencer
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Bit of overlap here: I'm presenting next week at the EdinbR user group:

*Getting started with spatial data*

This talk will be a brief introduction to using R (and other open source software) for working with spatial data. The talk will cover:

* types of spatial data
* which software for different parts of your workflow
* some examples of spatial analysis including:
- shortest path between locations
- allocation networks
- digital terrain models

Some of these topics are shown in this blog post https://scottishsnow.wordpress.com/2017/11/13/spatial-networks-stjames-2/.

R beginners very welcome.

I need to convert 650 OS national grid references to easting and northing (m). I've seen some of the online conversion tools, has anyone come across a package for R/Python/QGIS/Grass/etc. that I can incorporate into a workflow? Failing that, which online (batch) conversion tool do you prefer?

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Does anyone know how I can get this in a shp file format? Or at least make it play nicely with gdal!

https://data.gov.uk/dataset/data-zone-boundaries-2011

I did find a shp version here: https://saspac.org/data/2011-census/scotland-2011/, but the data zone codes don't match the others I'm working with...

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v.net.distance network analysis for all GB postcodes (1.6M) to train stations (3k) via Ordnance Survey Open Roads (3M), mapped in CartoDB: https://mikerspencer.cartodb.com/viz/c7cf448e-2727-11e6-8d2f-0ecd1babdde5/public_map. For those interested, it took ~ 23 hrs of processing time running single core on an Intel i5 4460 and used up to 16GB of ram and 6GB of swap partition. Follow the school/hospital example to try for yourself! https://grass.osgeo.org/grass70/manuals/v.net.distance.html

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I've been trying out CartoDB via the QGIS plugin. Here's a map showing the distance from Scottish postcodes to the nearest train station, using Ordnance Survey Open Roads and network analysis in GRASS.
Postcode 2 train station
Postcode 2 train station
mikerspencer.cartodb.com

If anyone would like to use my ticket for today's Scottish meet up, go ahead. I'm calling in sick.

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Getting stuck into #ggplot with #rstats including annotating line descriptions onto a facet of plots: https://scottishsnow.wordpress.com/2015/03/20/tapply-on-steroids-by-climate-trends-in-scottish-seasons/

Plus Scottish climate variables through time.

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Thanks for your copy.com ppa. I've added details to my #Linux   #science   install script: https://scottishsnow.wordpress.com/software/
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Here's a walk through for using GRASS and SQLite with R for data management, analysis and scripting:

http://scottishsnow.wordpress.com/2014/08/24/many-rastered-beast/

Example uses daily satellite data from MODIS.

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Follow the OSGeo UK group for open source spatial news beyond QGIS:

https://plus.google.com/u/0/115785138379916145979/about
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