game design 2: micro and macro data visualisation

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Game Design 2 Lecture 14: Micro / Macro Readings http://www.comu346.com [email protected] 2011

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Page 1: Game Design 2: Micro and Macro Data Visualisation

Game Design 2Lecture 14: Micro / Macro Readings

http://www.comu346.com [email protected]

2011

Page 2: Game Design 2: Micro and Macro Data Visualisation

Micro / Macro Readings

‘A method for presenting large quantities of data at high densities in a way that a broad overview of the data is

given and yet an immense amount of detail is provided.’Ruddle 2002

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Definition

• Visualising data at two levels in one image

• Micro Data (low level detail)

• Macro Data (high level detail)

• User / Viewer can get a rough idea at a glance but also see detailed information

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Layering & Separation?

• Layering & Separation == multiple types of information + how to separate

• Micro & Macro == multiple scales of information

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Spatial

• Maps can show geographical breakdown of a location as well as local detail

• Geometry of land mass as well as regional breakdown.

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4th Dimension

• More subtle macro readings can look into time.

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• The circular layout of the centre of Senlis shows its history as a Gallo-Roman fortification.

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• Glasgow’s industrial history, built around the River Clyde is apparent by the density on its shore.

• Stirling borders a river but the lack of focus shows its different history.

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Symbolic Use

• Micro / Macro designis not always geographic.

• This poster shows that from the work of manyhands, one great planwill be fulfilled.

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Character Design

• In games, it is often possible to read many scales of information from looking at a character:

• character class, team, attack, defence, health etc.

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Combining M/M & L&S

• The London Air Quality Network website has to provide a very dense set of data in an intuitive interface.

• They layer user interface elements over a rich map which shows different types of data as well as different scales of data.

• http://bit.ly/londonair

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ddddddddddfsdfadf

• dd

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Meaning through Scale

• The Vietnam Veterans Memorial achieves its visual and emotional strength through micro / macro design. (Tufte, p43)

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• 58,000 dead soldiers

• scale can be seen at a distance

• Individual names up close

• Ordered by date ofdeath

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Relative Data• http://bit.ly/billiondollargram

• Shows spend / cost in billionsfrom US budget and events

• Can see immediately highestspent areas

• Can also see actual numbers

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Stem and Leaf

• Like a bar chart / histogram but uses the space that would normally be used by solid blocks of colour.

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218 Mountains

• d

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• Glance tells distribution

• Analysis provides more

• Scale given

• Necessary to round

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292 Trains

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292 Trains (badly)

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• 777 more characters

• hard to see how frequently trains leave at a given hour

• rush hour?

• 11pm trains?

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Stem & Leaf Improve?

• How can you modify the stem & leaf plot to show more information (such as platform number)?

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Back to Back S&L

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Missile or Toothbrush?

• 7000 objects > 10 cm in diameter in space

• rocket engines, bin bags, frozen sewage, shrapnel from tests, 1 wrench and 1 toothbrush

• Only 5% are functional satellites

• Necessary to track for safety of launches

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• Note the ring on the second image.

• this is the geostationary orbit used by satellites

• The scale of the problem can be seen, not only in overall but also in terms of orbit height and relative density of areas.

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Why Micro & Macro?

• We thrive in information rich contexts

• Visually rich displays are not only appropriate to convey information but are often the optimal way to do so.

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• If information is spread over multiple screens, the user needs to keep that information in memory

• If information is condensed into one screen / graphic, it only requires understanding.

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• Micro / Macro designs enforce local and global comparisons but do so without the need to context switch.

• Power is given to the user to decide what level of detail is required.

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Downsides of M/M

• creating good Micro / Macro design is hard.

• it is easier to have one display for each scale of data.

• it may be necessary to gather or process more data (e.g. stem plot vs bar chart)

• it may be difficult to blend the scales together.

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Too complicated?

• Don’t forget that the data is never the problem.

‘Clutter and confusion are failures of design, not attributes of information‘ (Tufte)