Posts Tagged ‘KML’

Growth of Wal-Mart, Google Earth Animation

January 27th, 2009

Here’s a Google Earth time animation showing 3176 Walmart store openings in the USA, from 1962 to 2006. See how the business started out with a single retail location in Arkansas, then spread at an accelerating rate across different regions.
Video showing the animation running in Google Earth:

Grab the KML file for Google Earth here:
Walmart [...]

Visualization , , , , ,

Google Earth - Complete US Air Routes

February 6th, 2008

A couple of weeks ago I put together a small collection of Google Earth airline route maps for various countries. These work interactively, using mouse hovers over airport Icons to activate and reveal destinations.
The previous files each had fewer than a thousand routes, and were fairly limited in scope. So, I was wondering, how effectively do [...]

Flight Maps , , ,

Google Sky Orrery x3

January 22nd, 2008

Two new additions to the family of animated Solar System diagrams for Google Earth Sky.
These Orrerys combine KML Screen Overlays to display a top-down view of current planet positions in the top left corner of the screen, and run on a 3 month time-loop alongside the default Our Solar System Layer.
To squeeze everything into the corner [...]

Other Planets , , ,

ZIPScribble Animated

January 20th, 2008

This is a Google Earth, time animated version of the U.S .ZIP map in my post from a couple of days ago. Based on Robert Kosara’s ZipScribble maps. 
The KML file contains 43,000 lines connecting every ZIP code in the country, TimeStamped in ascending numerical order.  
Just a slight warning: This is a very large and detailed time animation. It runs smoothly on my [...]

Animations, Visualization , , , ,

KML ZIP Scribble Map

January 18th, 2008

About a year ago, Robert Kosara at published a fascinating set of visualizations demonstrating the overall structure of ZIP (and post) codes in various countries, for obvious reasons he called them ZipScribble maps. Robert compiled  PDF maps of the USA,  and a dozen more countries. 
The concept he uses is remarkably straightforward:
 1) Plot the centroid of every ZIP code area onto a map.
 2) Join these [...]

Visualization , , , ,