Tuesday, June 30, 2015

Earthquakes!

Visualizing earthquakes is pretty satisfying: they happen at a specific location and time, the global database extends back 100+ years, and they occur in a distinct spatial pattern that tells us a lot about the inner working of our planet. Here are three great visualizations:
  1. As an animated map (1915 to 2015)
  2. As a heatmap (1915 to 2015)
  3. As a beautiful static map
Now...which data viz is the 'best'?

How about tremors over the past day, week, or month?
Or Understanding Earthquakes (based on 10 years of data)?

Monday, June 29, 2015

DownGlacier

Here's a nice example of open-source / community-reviewed / cutting-edge scientific research: The DownGlacier statistical downscaling tool that is used in a paper published in the open-access journal The Cryosphere - Discussion.

Saturday, June 27, 2015

Projection Wizard

Give it at try! Projection Wizard

IMO - projections is one of these 'legacy' topics from 20+ years ago that geographers and cartographers still love to be obsessed with while the our software has made dealing with projections 99.5 percent unnecessary. Get over it folks!

Thursday, June 25, 2015

Liberals don't get married!

As opposed to people from Utah and southern Idaho - the spatial patterns are remarkable! More at How Your Hometown Affects Your Chances of Marriage


What's Warming The World?

What's Warming The World? by Bloomberg Business is a beautiful and subtle data visualization that answers the question that some folks still have problems with: what factors (= forcings) can account for the observed rise in temperature?
  • Natural forcings (solar, orbital, volcanic): No!
  • Human forcings (land use, ozone, aerosol pollution, GHG): Yes!
There is no new science here - these things have been known for quite a while, but the data viz is well-done. And minimalistic = letting the data to the talking.

Google Street View on El Cap

This has caused a lot of buzz on the web: Google slepped their Street View 'orb' up The Nose on El Cap and (as expected...) captured some pretty cool images. Somehow I'm not all that impressed - sure, this was a pretty big effort to do, but ultimately simply a function of throwing enough $$$ at it.

Have a look at Project 360 by Mammut for 360° experiences of the Eiger, Matterhorn, and other mountains.

This is mapping!

Sure - we all know that mapping means visualizing geospatial data and in the world of GIS that usually refers to spatial data dealing with 'geo' = the Earth (aka mapping at scales that we can walk around on). But, 'geo' also includes much smaller (or larger) scales and here are some great examples of 'mapping' really tiny things (via Maps Mania) using the Google Maps API:

Wednesday, June 24, 2015

Atlas by Quartz

Atlas is billed as a new platform for sharing and discovering great charts. You can search or explore different categories and then share the chart you found. Plus, usually, you can download the underlying data.

Tuesday, June 23, 2015

Happy Maps

Happy maps by Daniele Quercia is well-worth the 7:15 minutes, but if you are in a hurry:
  • 3:30 to 5:23: Shortest vs. happiest vs. quietest vs. most beautiful path
  • 6:40 to 7:15: A world fabricated for efficiency

Mapping Edges

One of the most-difficult to explain concepts in GIS is topology = the (quantitative) definition of spatial relationships between things. Maybe this helps: Socio-economic tectonics maps the differences between adjacent counties as interactive borders of different thickness.


More on R

In case you are interested - here are a bunch of resources and tutorials related to R.

Wednesday, June 17, 2015

Average Age in Germany

Interesting visualization, interesting patterns!


What Is Code?

This is intense (and rather long...), but an excellent introduction/overview of coding, programming languages, and data: What Is Code?

Baby Names

Better viewed full-screen: Little Waves of Baby Names

Mapping the Ocean

Here is an interesting quick video highlighting some of the issues associated with mapping an irregular 3-D object (= the Earth) in 2-D space (= on a map):

Looking for more examples? Have a look at Eight Projections or What Your Favorite Map Projection Says About You (by xkcd).