Positioning geovisualization geovisual analytics
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positioning geovisualization & geovisual analytics. GSTI Workshop: Alan M. MacEachren GeoVISTA Center, Dept. of Geography, Penn State Geovisualization , Geovisual Analytics, Spatial Cognition, Spatial Language. Cognitive Science. Information Science. Spatially Integrated

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Positioning geovisualization geovisual analytics

positioning geovisualization& geovisual analytics

GSTI Workshop: Alan M. MacEachrenGeoVISTA Center, Dept. of Geography, Penn StateGeovisualization, Geovisual Analytics, Spatial Cognition, Spatial Language

Cognitive

Science

Information

Science

Spatially Integrated

Social Science

Computer

Science

GIScience

Spatial

Cognition

Geovisual analytics

Geovisualization

Environmental

Informatics

Cartography

Geography


Preamble

Preamble

  • Popular web mapping tools have made geographic information accessible to orders of magnitude more people than was the case just a decade ago.

  • For most people geographic visualization probably is synonymous with Google Earth.

  • Visualization for many is considered successful if the computer-generated renderings look like the world.

  • As a field of research, geovisualization has much broader roots and goals than usually recognized. Neither the label nor the disciplinary focus is primarily about what it appears to be.

  • Geographic information comes in a bewildering array of forms, both explicit and implicit, and the challenge is nottorender it but to represent and reason with it

Alan M. MacEachren, GeoVISTA Center, Dept. of Geography, Penn State – [email protected]


From cartography through geovisualization to geovisual analytics data info knowledge reasoning

from cartography, through geovisualization, to geovisual analytics: data  info  knowledge  reasoning

  • Visualization in Scientific Computing (VisSC): prompting a shift from cartography geovisualization –

  • dynamic geovisualization – (Cartography + VisSC + EDA + HCI + InfoVis): prompting hypotheses and enabling insight

  • geovisualization + computation – (…) + KDD: turning data to info, uncovering patterns and relationships, supporting knowledge construction

  • (geo)visual analytics – (visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces) – geovisual analytics: information foraging, heterogeneous info integration, analytical reasoning & sense-making, knowledge construction/management, and decision-making – facilitated by geo-visual (geospatial & geotemporal) interfaces

Alan M. MacEachren, GeoVISTA Center, Dept. of Geography, Penn State – [email protected]


Moving beyond traditional infovis geovis

Visual Inquiry Toolkit

Foraging loop 

Sense-making loop 

Search & filter 

Read & extract 

Schematize 

Build case 

Tell story 

External data source

Shoebox

Evidence file

Schema

Hypotheses

Presentation

after Pirolli & Card

Search for support

Reevaluate

Search for information

Search for relations

Search for evidence

Moving beyond “traditional” infovis/geovis

  • linking visual & computational methods

  • connecting numerical data with pictures, text, concepts

  • supporting an iterative, extended process of analysis

    • evidence assembly

    • hypothesis formation and assessment

    • story-telling

Improvise: Hotels.viz


Gsti workshop

GSTI Workshop

  • What is solved?

    • rendering spatial o=info at global scale

    • many aspects of understanding enough about human perception to generate practical design guidelines for static map-based display (e.g., choosing color) – fundamental challenges remain for dynamic display

    • supporting interactive multiview analytical interaction for 101 – 104/105 fixed records – fundamental scaling challenges remain

  • What is almost solved?

    • serving real-time navigation info to mobile display

  • What has failed?

    • attempted to take humans completely out of the loop in strategies for addressing hard analytical problems

    • convincing developers/users to take advantage of what we know about perception/readability when designing map-based (and other) displays

Alan M. MacEachren, GeoVISTA Center, Dept. of Geography, Penn State – [email protected]


Gsti workshop1

GSTI Workshop

  • What is missing?

    • attention to the challenges of using heterogeneous data in real analytical work;

    • attention to challenges of implicit geographic information

  • What is next

    • visually-enabled analytical reasoning with a (roughly) geo-referenced social network of 1, 10, or 100-billion records;

    • understanding and integrating human and computational reasoning with large volumes of dynamic geo-spatial/temporal info

    • representation of geo-spatial/temporal context (a critical underpinning to solving most other questions);

    • moving visual-analytical power to everyday devices and tasks

    • integrating missing bits into the above

Alan M. MacEachren, GeoVISTA Center, Dept. of Geography, Penn State – [email protected]


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