Event

Mar 5, 2019
How to Create Maps with Palladio

How do you show your data in maps and create visual arguments? There are easy ways. In this Brown Bag Lunch, we will show how to find coordinates based on the place names or addresses in your data. Your map can also overlay on other reference layers, such as historical layers and terrain layers, to show more contexts of your data. We will demonstrate with Palladio, an online visualization tool developed by Stanford University, which makes creating maps and visualizing data easy.

You are invited, although not required, to follow along with the lesson on your own computer. 

Address

Boltzmannstraße 22, 14195 Berlin, Germany

Room
Room 265
Contact and Registration

All are welcome to attend, regardless of prior experience of the digital humanities. Registration is required for external participants. To register, and for further information on the Digital Humanities Brown Bag Lunch series please email Research IT Group.

About This Series

Brown Bag Lunch is a bi-weekly meeting of researchers at the MPIWG who use or want to learn more about digital research methods, broadly encompassed by the term Digital Humanities. In the Brown Bag Lunch meetings, researchers can discuss tools, share ideas and experiences (good and bad), and learn from each other. Each session explores a new topic; workshops are usually interactive, and we often invite external speakers. Please feel free to bring your lunch, and a laptop or notebook in order to participate!

2019-03-05T12:00:00SAVE IN I-CAL 2019-03-05 12:00:00 2019-03-05 13:30:00 How to Create Maps with Palladio How do you show your data in maps and create visual arguments? There are easy ways. In this Brown Bag Lunch, we will show how to find coordinates based on the place names or addresses in your data. Your map can also overlay on other reference layers, such as historical layers and terrain layers, to show more contexts of your data. We will demonstrate with Palladio, an online visualization tool developed by Stanford University, which makes creating maps and visualizing data easy. You are invited, although not required, to follow along with the lesson on your own computer.  MPIWG Robert CastiesShih-Pei ChenFlorian KräutliDirk Wintergrün admin@example.com Europe/Berlin public