Showing posts with label #dataviz. Show all posts
Showing posts with label #dataviz. Show all posts

Jan 7, 2022

Property looted from Jews in Vienna: Unser Wien MAP

http://maps.tacticalspace.org/unserwien/map.html


Behind every orange dot, property looted from Jews after the Nazi Anschluss of 1938

Map by Tactical Space, based on the inventory of stolen property under the Nazis, in the study by Stephan Templ, Unser Wien.accessed January 7, 2022

http://maps.tacticalspace.org/unserwien/map.html













http://maps.tacticalspace.org/unserwien/

Unser Wien Map

Unser Wien (Our Vienna) is a book co-authored by Stephan Templ and Tina Walzer that details how hundreds of Jewish businesses in Vienna were seized by the Nazis and never given back.

Continue to the map

Stephan Templ is an Austrian citizen, author, and journalist who has been jailed by Austria because of a restitution claim he made on behalf of his mother for Nazi-looted property.

This project is a translation of the addresses listed in the book as a digital map. This map is part of the Open Maps project. Credit for location entry and translation goes to Melanie Lyn. Technical implementation by Josh Harle.







Nov 16, 2020

Influence Networks: the Students of Paul Sachs and F. Lane Faison

 




Above: Some students of Paul Sachs and F. Lane Faison, along with a glimpse of some of the institutions where they studied or worked. (Wikidata Query November 16, 2020).  

(The graph misses a lot of data which has not yet been entered in Wikidata.)


https://w.wiki/mmw

Let's try to extend the graph to include some more information about the other teachers of Sach's and Lane's students













see Wikidata Query :
https://w.wiki/mn2 

Comments:
The datavisualization, while potentially interesting, is still clumsy and hard to read given the limits of a computer screen.
How can we zoom in on the networks we want to explore? 
How to transform a graph of this type into a truly useful tool for exploring networks of influence in the art world?
Is it by improving the underlying data, by improving the Wikidata query, or by switching to another more flexible, interactive tool for dataviz and navigation?

Could the addition of color help?