Cities: Input / Output, Thursday Night Lectures

61
CITY: INPUT / OUTPUT FACULTY OF ARCHITECTURE, DESIGN & PLANNING THURSDAY NIGHT LECTURE SERIES 2013

description

Part of the Thursday Night Lecture series from the Faculty of Architecture, Design and Planning http://sydney.edu.au/architecture/tnl/ at the University of Sydney. We spoke about the relationship between data, maps, people, and data visualisation in understanding cities and how – as organisations with data and citizens who demand data, we should use open data practices to make data accessible, and datavis to create insight and understanding.

Transcript of Cities: Input / Output, Thursday Night Lectures

Page 1: Cities: Input / Output, Thursday Night Lectures

CITY: INPUT / OUTPUTFACULTY OF ARCHITECTURE, DESIGN & PLANNINGTHURSDAY NIGHT LECTURE SERIES 2013

Page 2: Cities: Input / Output, Thursday Night Lectures

Andrea LauCo-FounderDesignerCoder

Emma CheeDesigner

James HiscockCoder

Jack ZhaoCo-FounderDesignerCoder

François RobichetCoder

2GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES

Page 3: Cities: Input / Output, Thursday Night Lectures

3

MAPS

Page 5: Cities: Input / Output, Thursday Night Lectures

5

Page 8: Cities: Input / Output, Thursday Night Lectures

WHERE DO TOURISTS GO, ERIC FISCHER, HTTP://WWW.FLICKR.COM/PHOTOS/WALKINGSF/4672149966/IN/SET-721576242091586328

Page 11: Cities: Input / Output, Thursday Night Lectures

CASINO BUS MAP, HTTP://SMALL.MU/WORK/WHERE-CASINO-PICKS-UP-PUNTERS-INTERACTIVE-MAPS/11

SPEAK ENGLISH ONLY LANGUAGES OTHER THAN ENGLISH

STAR CASINO BUSES

Page 12: Cities: Input / Output, Thursday Night Lectures

12

CENSUS

Page 13: Cities: Input / Output, Thursday Night Lectures

STATISTICAL REPRESENTATIONS FROM POPULAR TEXTS FOR THE ORDINARY CITIZEN, 1889–1914 | MARIJA DALBELLO4, ANSELM SPOERRI13

Page 15: Cities: Input / Output, Thursday Night Lectures

15

AUSTRALIAN CENSUS DATA

Page 16: Cities: Input / Output, Thursday Night Lectures

SBS CENSUS EXPLORER HTTP://WWW.SBS.COM.AU/CENSUS/16

MANDARIN ITALIAN

ITALIANMANDARIN

SBS CENSUS EXPLORER

Page 17: Cities: Input / Output, Thursday Night Lectures

17

INPUTS

Page 18: Cities: Input / Output, Thursday Night Lectures

18

RESTAURANT REVIEWS

GEOLOCATED BLOG POSTS

PARLIAMENT MINUTES

SHOPPING CENTRES

SUPERMARKETS

CAR PARKING AND FINES

COUNCIL PLANTING

LOCATION-BASED DATA

EVENTS AND ATTENDANCE

FOURSQUARE CHECK-INS

CRIME REPORTS

LOCAL NEWS

HISTORICAL MAPS

PLANNING PROPOSALS

SEISMIC ACTIVITY

MENTIONS IN FILM

SURF CONDITIONS

TWEETS

OFFICIAL GOVERNMENT CENSUS DATA

CORPORATE DATA

WEATHER DATA

PUBLIC TRANSPORT

TAXIS

ENERGY COMPANY DATA

DATA COLLECTED BY SCHOOLS

ROADS AND TRAFFIC AUTHORITY DATA

POLLUTION SENSORS

ANIMAL DIVERSITY DATA

APPS

WATER SYSTEMS

PEAK ELECTRICITY USAGE

FOOTBALL CLUBS

RECYCLING DEPOTS

COUNCIL RATES

LEGAL PROCEEDINGS

Page 19: Cities: Input / Output, Thursday Night Lectures

19

INDIVIDUAL SUBURB LGA ELECTORATE AREA CITY STATEBLOCK

Page 20: Cities: Input / Output, Thursday Night Lectures

GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES20

DATA COLLECTION IS BECOMING UBIQUITOUS

Page 21: Cities: Input / Output, Thursday Night Lectures

HTTP://WWW.FITBIT.COM/AU HTTP://CUBESENSORS.COM/21

Page 23: Cities: Input / Output, Thursday Night Lectures

23

PROBLEMS

Page 24: Cities: Input / Output, Thursday Night Lectures

24

“Ordinary people are relentlessly spied on, and not compensated for information taken from them.”- Jaron Lanier“...gather data from the network, often without having to pay for it. The data is analysed using the most powerful available computers, run by the very best available technical people. The results of the analysis are kept secret, but are used to manipulate the rest of the world to advantage.”

“Information supremacy for one company becomes, as a matter of course, a form of behaviour modification of the rest of the world.”

Page 25: Cities: Input / Output, Thursday Night Lectures

READYPLAYERONE.COM25

A DYSTOPIC FUTURE?

Page 26: Cities: Input / Output, Thursday Night Lectures

26

Page 27: Cities: Input / Output, Thursday Night Lectures

SUPER SERVERS

EVERYONE ELSE

27

Page 28: Cities: Input / Output, Thursday Night Lectures

28

SOLUTIONS

Page 29: Cities: Input / Output, Thursday Night Lectures

29

1. OPEN DATA

Page 31: Cities: Input / Output, Thursday Night Lectures

OPEN STREET MAPS, HTTPS://VIMEO.COM/4891975931

OPEN STREET MAP

Page 32: Cities: Input / Output, Thursday Night Lectures

HTTP://DATA.GOV.AU/32

Page 33: Cities: Input / Output, Thursday Night Lectures

HTTP://DEVELOPER.NYTIMES.COM/DOCS/READ/ARTICLE_SEARCH_API_V233

Page 34: Cities: Input / Output, Thursday Night Lectures

HTTP://WWW.KAGGLE.COM/34

Page 35: Cities: Input / Output, Thursday Night Lectures

OPENAUSTRALIA.ORG/35

Page 36: Cities: Input / Output, Thursday Night Lectures

HTTPS://SCRAPERWIKI.COM/36

Page 37: Cities: Input / Output, Thursday Night Lectures

37

2. DATA VISUALISATION

Page 38: Cities: Input / Output, Thursday Night Lectures

GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES38

DATA VISUALISATION CAN SAVE THE WORLD

Page 39: Cities: Input / Output, Thursday Night Lectures

JON SNOW

39

Page 40: Cities: Input / Output, Thursday Night Lectures

GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES40

JOHN SNOW

Page 46: Cities: Input / Output, Thursday Night Lectures

HTTP://GDP.NFB.CA/INTRO46

Page 47: Cities: Input / Output, Thursday Night Lectures

HTTP://WWW.HIGHWATERLINE.ORG/47

Page 48: Cities: Input / Output, Thursday Night Lectures

HTTPS://OPEN.ABC.NET.AU/PROJECTS/NOW-AND-THEN-14TM2SH/48

Page 50: Cities: Input / Output, Thursday Night Lectures

PULSE49 OFFICE TOWERSENERGY BREAKDOWN EVERY 15 MINUTES

HTTP://WWW.INVESTA.COM.AU/OFFICE/INVESTA-FROM-ABOVE/50

Page 52: Cities: Input / Output, Thursday Night Lectures

52

HOW?

Page 53: Cities: Input / Output, Thursday Night Lectures

JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML53

"Please make me a visualisation."- Jer Thorp

Page 54: Cities: Input / Output, Thursday Night Lectures

JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML54

"Please make me a visualisation."sandwich

- Jer Thorp

Page 55: Cities: Input / Output, Thursday Night Lectures

55

A BETTER APPROACH

Page 56: Cities: Input / Output, Thursday Night Lectures

JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML56

"Please visualise our data."

Page 57: Cities: Input / Output, Thursday Night Lectures

JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML57

"Please visualise our data."

solutionsnew ideas

better questions

Page 58: Cities: Input / Output, Thursday Night Lectures

58

OUR WORKFLOW

Page 59: Cities: Input / Output, Thursday Night Lectures

SMALL MULTIPLES PROCESS59

Page 60: Cities: Input / Output, Thursday Night Lectures

60

CITIES NEED

OPEN DATA = OWNERSHIP

DATA VISUALISATION = PROCESS

Page 61: Cities: Input / Output, Thursday Night Lectures

61

SMALL [email protected]://small.mu