Ist die Schweiz zu klein, ein Atom-Land zu sein?

Gebiete, die nicht weiter als 30/50Km von einem AKW entfernt sind, wurden auf dieser Karte der Bevölkerungsdichte eingefärbt.
Aber für Notfälle haben wir ja noch das Reduit....



Eine Vielzahl von Kartogrammen bringt der Blog "Views of the World" von Benjamin D. Hennig (University of Sheffield). Ein aktuelles Beispiel: Die Visualisierung der von Erdbeben bedrohten Personen; Blog: People at Risk: Visualising Global Earthquake Intensity. Hier ein gleich ein Auszug:

The following map shows a more general approach of mapping the risk of earthquakes. It is a visualisation of all major earthquakes that have been complied in the Global Significant Earthquake Database. The database created by NOAA’s National Geophysical Data Centercontains information on destructive earthquakes from 2150 B.C. to the present that meet at least one of the following criteria: Moderate damage (approximately $1 million or more), 10 or more deaths, Magnitude 7.5 or greater, Modified Mercalli Intensity X or greater, or the earthquake generated a tsunami“.

Following an approach of spatial-analyst.net, a kernel density has been calculated from these records to visualise the areas most at risk of earthquakes during that time period. In a last step, I have transformed the world earthquake intensity map (see map inset) using a density equalising cartogram algorithm applied to a population grid. Simply said, the resulting map gives each person living on earth the same amount of space while also preserving the geographical reference. This map allows to understand the earthquake intensity in relation to today’s population distribution, and thus gives an idea of where most people are of risk related to seismic activity:

Paying some tribute to the most recent events in Japan, here is a new population cartogram of the country which is created from a more detailed population grid than the original map from our World Population Atlas. The cartogram shows the shape a very densely populated country and helps to understand, where the majority of Japan’s population is concentrated: “80 million of the urban population is heavily concentrated on the Pacific shore of Honshū. Metropolitan Tokyo-Yokohama, with 35,000,000 people, is the world’s most populous city” (see Wikipedia). The map also includes Japan’s topography (see map inset for a conventional reference map and the surrounding bathymetry, which apparently played a crucial role in the development of the tsunami which followed the earthquake and caused much of the destruction on that densely populated Pacific shore.

(via Newsletter von statoo.ch)

Visualisierung des Erdbebens in Japan


Data-Driven Documents

Mike Bostock's JavaScript library D3.js for manipulating documents based on data. 

"D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. As a trivial example, you can use D3 to generate a basic HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a traditional visualization framework. Rather than provide a monolithic system with all the features anyone may ever need, D3 solves only the crux of the problem: efficient manipulation of documents based on data. This gives D3 extraordinary flexibility, exposing the full capabilities of underlying technologies such as CSS3,HTML5 and SVG. It avoids learning a new intermediate proprietary representation. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. And, for those common needs, D3’s functional style allows code reuse through a diverse collection of optional modules."

Hier noch ein paar Beispiele


Beim Voronoi-Diagramm ist vor allem beeindruckend, mit welcher Geschwindigkeit die Polygone beim Darüberfahren mit der Maus neu berechnet werden.

Und noch eine spielerische Anwendung (man kann irgendein Bild als Paramter übergeben, http://koalastothemax.com?<your image url>)


Filme kompakt

Eine wirklich sehr kompakte Darstellung von Filmen (eine Art "Filme aufräumen", bisher 74 Filme, unten z.B. Babel (2006)); erinnert etwas an das Projekt Interactive Information Visualization of a Million Items.
FlowingData: Choice of color in a movie can say a lot about what's going on in a scene. It sets the mood, changes the tone, indicates a change in point of view, so on and so forth, which is why moviebarcode is so fun to click through. The concept is simple. Take every frame in a movie and compress it into a sliver, and put them next to each other. Voilá. Movie barcode."



Fractal Lab

Tom Beddard: 

A WebGL based web application for rendering 2D and 3D fractals in real-time.

You will need a WebGL enabled browser, currently Google Chrome or Firefox 4 beta are the best choices, and a reasonably modern graphics card.

MIt Google Chrome auf dem Mac funktioniert die Applikation (Link) problemlos, hier ein Screenshot:



Karsten Schmidt aka Toxi hat bei den ETH-Architekten einen 50-minütigen Vortrag zu "Code as the primary design tool" im Rahmen des Master of Advanced Studies "Computer Aided Architectural Design 2011" gehalten.
Er zeigt darin viele (meist künstlerische) Beispiele:

Sie beruhen auf der toxiclib-Processing-Library (toxiclibs.org). Die dortigen Beispiele (und die Beispiele im Rahmen des Vortrags) haben mich beeindruckt.


Map Baidu

Sehr detailliert gezeichnete Gebäude statt StreetView bei der chinesischen Suchmaschine Baidu:

Im Detail:

Flash vs. Canvas

Ein Vergleich von Canvas/JavaScript und Flash aufgrund verschiedener Kriterien. Die Schlussfolgerung:
Canvas is the future of 2D (and possibly 3D) graphics on the web. Sure, it has a few shortcomings, but as time passes, it will only get better.
You can write it with the same language (JavaScript) as the rest of the interaction logic on your web page. It's fast and getting faster. Once a few competent frameworks appear, it will be just as easy to use as Flash for a huge variety of tasks. And once the iPad ships, Flash will become a liability.
My advice for web developers: if something on your site CAN be done in Canvas, it SHOULD be done in canvas.
(aus: "Bye Bye Flash: Network Graph is now Canvas")

Google Public Data Explorer

Mit dem Google Public Data Explorer kann man auch Karten machen (hier gleich live):

Fahndungsfotos in Florida

In den USA ist man in Bezug auf Datenschutz einiges weniger empfindlich:

GeoNames WebServices



  <fclName>city, village,...</fclName>
  <fcodeName>populated place</fcodeName>
  <adminName2>Distretto di Blenio</adminName2>
  <timezone dstOffset="2.0" gmtOffset="1.0">Europe/Zurich</timezone>

Natural Earth: Free Vector and Raster Map Data

Eine reichhaltige Sammlung von GIS-Daten (administrative Umrisse, Ozeane, Flüsse, Seen, Städte; verschiedene auf dem Relief beruhende Raster) auf globalem Niveau. Hier ein Beispiel für die Länderumrisse (1:10 Mio.):

Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.
Natural Earth was built through a collaboration of many volunteers and is supported by NACIS(North American Cartographic Information Society), and is free for use in any type of project.