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Our take on Pixar's organisation structure, visualised using data from a paper written by Ed Catmull, studio president at Pixar Animation Studios.
The map shows Shetland. The height of the tracks indicates roughly how 'busy' the area is (how many ships were in that area in 2015). The lane into Lerwick is obviously quite busy, and you can make out some ferries.
How it was done:-
Used Blender and QGIS3. The new QGIS 3 save-to-image lets you specify the image size, which is perfect for this use case! By rendering the lines with very low opacity white (<2%) on a black background, it's possible to get nice graduation from black to white for a heightmap.
Used GIMP/Gaussian Blur to smooth the heightmap before doing mesh displacement in Blender (otherwise it looked a bit too 'noisy').
The track mesh is a blend of Translucent and Glass shaders, which gives a 'cling film' effect. It's a bit noisy, I should probably ramp up samples to 1024 and leave it running overnight :)
About the dataset :-
Shout out to Liam Mason for the open data - Liam's stream has some other examples with this dataset
Data used was of anonymised GPS traces for the first week of each month in 2015, which might influence results (e.g. if a regular ferry only goes mid-month, it might not appear as a trace).
Collection of old maps scanned from books and other print sources Download them all at Photoshop Roadmap.
Taken on July 17, 2013 at Mickey and the Magical Map at the Fantasyland Theatre in Fantasyland at Disneyland (Disneyland Resort, Anaheim, CA)
This visualizations shows the geographic location of 1,139,441,531 ip adresses. The locations are grouped by city, divided into four categories according to the total number of ip adresses belonging to a city. The categories are net-metropoles (more than 10,000,000 IPs), net-capitals (1,000,000 up tp 10,000,000 IPs), net-cities (100,000 up 1,000,000 IPs) and net-villages (fewer than 100,000 IPs). IP adresses that cannot be allocated to a city were left out.
I created this visualization using ActionScript, based on my classes for map projections and polygon maths, which you can download for own usage. The data was extracted from the free GeoLite-City database by MaxMind.
displayed Arms and Armour at The Chhatrapati Shivaji Maharaj Vastu Sangrahalaya, formerly Prince of Wales Museum of Western India (Mumbai museum)
A map of my childhood neighborhood in Boulder, CO. We moved away in 1986, when I was only 6 years old, so I don't remember it very well. It does match what I do remember, though.
Inspired by mathowie's childhood.
World Map Skirt, handmade by Interrobang Art & Fashion. Available for sale here: www.interrobangart.co.uk/shop/4575737000/Map-of-The-World...
Map 63-95-1 at the Seattle Public Utilities Engineering Vault. Seattle Municipal Tower floor 47.
An excerpt appears in my article on Capitol Hill Seattle Blog for the Capitol Hill Historical Society.
It appears that this map is from 1977. I couldn't find a typical print year on it, just a code that said 1/77, which is likely the print date. This map does show all the Amoco gas stations in Delaware, Maryland, Virginia, and West Virginia at the time. The locations were few and far between though.
This map also had some interesting ads in it too some chains were represented by a certain number on the map. Others, such as Albert Pick Hotels, Holiday Inn, and Coachmen Recreational Vehicles were represented by their logo.
Here are some more maps and map images that I figured I would share to go along with the ones I posted before. I figured I would do these as a mass upload then go back to the more typical retail pictures I post.
The full road maps were way too large to fit into the scanner and I didn't want to risk damaging the maps so I mostly copied covers, advertisements, and certain city maps. I do want to figure out a decent way to photograph the full maps without harming them. All of these ones are larger than the Ohio Turnpike Map I posted before.
Ouachita map turtle (Graptemys ouachitensis).
Photographed by Sam Stukel (USFWS) at Gavins Point National Fish Hatchery (Yankton, SD).
Newsflash!:
Google today reveals that the Camden Town tube station has been demolished! Google maps employs sophisticated algorithms to analyse web patterns and user behaviour, allowing them to update their maps of the area to reflect reality before the news gets out on any other channels.
Residents and businesses in around Camden are today in a state of denial about the reality of the situation, as this busy transport hub has been removed. The lack of a station at this location will also mean that passengers wishing to to travel to different branches of the northern line will no longer be able to change. Choose your train wisely.
When asked to explain, a TfL spokesman also tried to deny that changes to London transport network had taken place. But there can be no cover-up of this. The truth is right there on google maps!
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But seriously...
This a pretty serious navigational problem. Do you link to google maps when you email a friend with directions? Are you using google maps on your website? If you do this in the Camden area you may not be being as helpful as you thought you were. Maybe it's time to use a better map, the open licensed map from the London-born not-for-profit OpenStreetMap.