Well travelled map – inputs

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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.

input_layers

Inputs to my ‘well-travelled’ map and calculation

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SSH login attempts

UGB has a server. Whenever somebody fails to login he records their IP address. jamesgeo.com uses the IP location service from freegeoip.net to turn these IP addresses into locations.

Two maps showing failed logon attempts over a 37 day period. Note that the IP lookup’s locations may not be entirely accurate (note the cluster at 0, 0).

count_ssh_login_locations

All SSH login attempt locations, 17th Oct to 22nd Nov 2016.

count_ssh_100plus

Locations with 100 or more failed login attempts, 17th Oct to 22nd Nov.

Element towns pt 2

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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.

co_all_elements

All of the elemental towns in Colorado

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.

western_states_labelled

The Western States, ignoring gold, silver and copper

Speed check

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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:

  • All of my speeds are below the speed limit for the vehicle I was using.
  • My skiing speeds are extremely fast, until I skied with Eddie, and then they were slow.
  • The blue section on I-25 North of Denver is when I attached wings to my car, a la chitty chitty bang bang

Making tracks

Last 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:

  1. The two cluster in the South-West are Breckenridge and Keystone ski resorts.
  2. Denver is the city on the Eastern edge of the map is Denver. The I-70 interstate (motorway) connects Denver to the mountains.
  3. I quite like Boulder (NW of Denver)