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No prizes for guessing which city I have to be in, and which city I want to be in! A special mention to Montreal for (just) taking me outside of UK & US!
14 Sunday Jan 2018
Posted Data visualisation, Geo data
inTags
No prizes for guessing which city I have to be in, and which city I want to be in! A special mention to Montreal for (just) taking me outside of UK & US!
30 Saturday Dec 2017
Posted Geo data
in15 Sunday Jan 2017
Posted Data visualisation, Geo data
inTags
After years of deliberation, months of data wrangling and several reviews by family, I have finally finished version 1 of the jamesgeo well-travelled map. This map aims to answer the question “how well travelled am I?”. Unsurprisingly the answer is not very.
The map is made by taking every point that I’ve been to on the Earth’s surface and buffering by 100 km, without letting this cross any international borders, unless I did. I have chosen 100 km as I argue that culture, geography, geology etc changes significantly over about this distance.
26 Monday Dec 2016
Posted Geo data
inTags
Whilst zooming in to check the data quality on the inputs to my ‘well-travelled’ map I realised that the data made a nice summary of my time in the American West. This made me want to buy a GPS logger for my SLR. Maybe Father Christmas will bring me one next year.
19 Monday Dec 2016
Posted Geo data
inTags
I have finally finished amassing data for my well-travelled map, a map that’s going to illustrate how little of the world I’ve actually seen. The four (so far) input layers are shown below. All were automatically produced, apart from the legacy routes.
28 Monday Nov 2016
14 Monday Nov 2016
Posted Geo data
inTags
Last post we saw a map of all the towns in North America that are named after periodic elements. This post has some more detail.
Whilst I’m confident that the sainted Leadville was named after lead (a bi-product of the silver mining industry), I’m less confident about Leader, Carbonera and Tinaia, NM. I’ll ask a linguist.
06 Sunday Nov 2016
Posted Geo data, Populations
in20 Monday Jun 2016
Posted Geo data
inTags
Using successive Google timeline points, provided they are less than 10 minutes apart, I created a map of my speeds. Red tracks are slow, green are fast. Blue are really fast.
A police officer’s guide to my speeds:
06 Monday Jun 2016
Posted Geo data
inLast post we saw how our benign overlords friends at Google have been tracking my phone. Joining the dots creates tracks showing where I’ve been (shown here with and without a context map). I have only created tracks when points are less than 30 minutes apart, which means that they adhere quite well to the road network. It also explains why some of last week’s black dots have disappeared.
A stalker’s guide to my life: