visualizing data
A couple of months ago I launched my appeal for data visualisation stories from around the world . The purpose of this series is to invite designers, journalists, academics, bloggers, analysts or just simply residents, from as many different countries as possible, to illuminate the rest of us with their observations about the visualisation scene in their country or region. You can see the growing collection of articles in this series here. After reading about Alberto Cairo’s experiences from Brazil in the first part of this series, in this second article we hear from another major emerging economy, namely India.
Data visualisation stories from… India, by Ananth Mani
During my recent stint as guest-editor on Infosthetics, I profiled a new tool called DataAppeal which allows you to upload and map geospatial data in three-dimension on top of a Google Earth map. Nadia Amaroso, the DataAppeal.com founder, has responded quickly to yesterday’s unusual earthquakes on the US east cost. She has retrieved a dataset form the “did you feel it” pages of the US Geological Society , uploaded it onto DataAppeal and produced a range of different visualisations based on the recorded intensities of recorded readings in the cities impacted. These visualisations are presented here as snapshot images but can be produced and shared as KML/KMZ files which allow you to explore and navigate around them in 3D via Google Earth, thus overcoming the shortcomings of viewing 3D data in a 2D landscape.
DataAppeal maps US east coast earthquake
Part 8: The essential collection of visualisation resources
This is the eighth part of a multi-part series designed to share with readers an inspiring collection of the most important, effective, useful and practical data visualisation resources. The series will cover visualisation tools, resources for sourcing and handling data, online learning tutorials, visualisation blogs, visualisation books and academic papers. Your feedback is most welcome to help capture any additions or revisions so that this collection can live up to its claim as the essential list of resources. This eighth part, alongside part seven and part nine , presents a comprehensive collection of the books that have had most influence on my knowledge about data visualisation and its many closely-related subject areas. The selection presented includes only the books I own or I have read from a library – I have decided to exclude any books I’ve not yet read, even if they might be on other reading lists.
Part 7: The essential collection of visualisation resources
This is the seventh part of a multi-part series designed to share with readers an inspiring collection of the most important, effective, useful and practical data visualisation resources. The series will cover visualisation tools, resources for sourcing and handling data, online learning tutorials, visualisation blogs, visualisation books and academic papers. Your feedback is most welcome to help capture any additions or revisions so that this collection can live up to its claim as the essential list of resources.At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking articles I’ve come across during the previous month. If you follow me on Twitter – and now Google+ too – you will see many of these items tweeted as soon as I find them. Here’s the latest collection from August 2011:
