Creating a map of the world’s top ten most populated cities with Matplotlib and Basemap. Data from: http://en.wikipedia.org/wiki/List_of_metropolitan_areas_by_population
JSON-LD EDM experiments
This gist contains two attempts to describe the artist Rita Angus as an EDM Agent contextual entity using the JSON-LD format. They are intended to facilitate conversation between DigitalNZ and Europeana rather than indicate a final data format.
rita_angus_v1.jsonis close to the examples expressed in the "JSON-LD profile for EDM contextual entities" proposal document.
rita_angus_v2a.jsondeviates significantly from the
v1context mapping structure. The document's fieldnames are terms like
description, which differ from the EDM Agent schema
@contextsection rather then presenting it inline. This is the default format that we are likely to adopt.
rita_angus_v2 examples follows the model presented by Manu Spooney in the JSON-LD W3.org context specs. See: [EXAMPLE 5: In-line context defini
Recommended reading for Indie Maps + DIY Cartography Auckland Laneway Learning class.
Useful / inspirational books
- "Everything Sings: Maps for a Narrative Atlas", Denis Wood (2010).
- "You Are Here: Personal Geographies and Other Maps of the Imagination", Katharine Harmon (2003).
- "Mapping It Out: Expository Cartography for the Humanities and Social Sciences", Mark Monmonier (1993).
- "Semiology of Graphics: Diagrams, Networks, Maps", Jacques Bertin (1983)
- "Maps and Diagrams", F. J. Monkhouse and H. R. Wilkinson (1952).
The Data Poets' Society is a Twitter joke that grew into a group who meet every couple of months to talk about data, visualisation and storytelling. We are scientists, artists, journalists, software developers, business professionals, students, museum folk, historians and geographers. We don't do formal talks. Instead we have a brief show and tell at the start of each meeting and spend the rest of the time sharing anecdotes and ideas over drinks and food.
At our first meeting we compiled a list of things we wanted to get out of Auckland Data Poets' Society. The numbers in brackets indicate how many votes an item received.
- (8) "Art" of data visualisation.
- (6) Seeing other peoples' stuff.
- (5) Telling stories with data.
- (5) Making stuff.
- (4) Understanding the craft*.
- (4) Exploring possible concepts.