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Geovisualization for Constructing and Sharing Concepts Alan M. MacEachren, Mark Gahegan, & Bill Pike GeoVISTA Center Geography, Penn State maceachren@psu.edu www.geovista.psu.edu This work is supported by NSF (BCS-9978052, BCS-0113030, BCS-0219025) and the U.S. Geological Survey
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Outline introduction background HERO (human-environment regional observatory) concepts and their visual representation HERO geocollaboratory visually-enabled concept building & sharing discussion: where next www.geovista.psu.edu
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Introduction scientific knowledge science is dynamic scientific concepts change and evolve concepts are situated … in place, in time, in tasks, in knowledge schemata, in paradigms … thus, static concepts (and ontologies and knowledge maps) will produce static science we need methods to support dynamic and situated concept development, sharing, and application … our approach: visual representation, thinking, and collaboration methods
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Background: HERO (human-environment regional observatory) conceptual and technological infrastructure to support long-term study of local implications of global environmental change one goal support for defining and applying concepts
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prototypical concept vulnerability as a flexible concept Adaptive Capacity Exposure Sensitivity Vulnerability Assessment method Vulnerability Sensitivity CSensitivity BSensitivity A Sensitivity C Vulnerability
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Background: concepts and their visual representation/exploration information visualization representing and exploring hierarchies depicting categorical information diagrammatic reasoning visual languages for group learning spatial annotation for shared decisions spatialization exploratory geovisualization
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representing/exploring concepts: InfoVis representing and exploring hierarchies string theory landscape source: Chen and Kuljis, 2003 job vacancies by region source: Fluit, Sabou, van Harmelen, 2002
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representing/exploring concepts: diagrams visual languages for group learning input text a b c drawing Belvedere – Suthers, 1999 concepts principle theory hypothesis claim report unspecified relations supports explains and conflicts justifies undercuts
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visual languages for group learning spatial annotation for shared decisions input text a b c drawing Belvedere – Suthers, 1999 concepts principle theory hypothesis claim report unspecified relations supports explains and conflicts justifies undercuts Argumentation maps: GIS-based discussion support for online planning Rinner, 2001 representing/exploring concepts: diagrams
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representing/exploring concepts: spatialization source: Fabrikant & Skupin, in press
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representing/exploring concepts: geovisualization link graph … dynamically linked to … map Clearfield
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HERO geocollaboratory collaboratory overview electronic notebook/knowledge portal
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HERO: geocollaboratory a collaboratory is a: “... center without walls, in which the nation’s researchers can perform research without regard to geographical location – interacting with colleagues, accessing instrumentation, sharing data and computational resources, and accessing infor- mation from digital libraries” Cerf, et. al, NRC, 1993
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HERO: collaboratory supporting both synchronous and asynchronous joint work
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HERO: collaboratory e-notebook
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HERO: collaboratory what does a geographic e-notebook look like?
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HERO: elements in knowledge portal Tools GeoVISTA Studio applets Web services Files Data Images Articles Tasks Experiment storyboards Workflow diagrams People Individual scientists Research groups Domain communities Concepts Hypotheses Categories
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Visually-enabled concept building, sharing, and application concepts to data and back again visualizing structure in scientific discourse concept graphing & acquisition
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concepts to data and back again knowledge mgt for collaborative science instantiation conceptualization representation capture comparison ontology description language meta-ontologies concept graphs web interface diagramming tools concept similarity measures workflow discovery exploratory visualization
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concepts to data and back again what concepts do we already have?
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concepts to data and back again what concepts will be in the data?
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concepts to data and back again g b h a f c e ontological conceptualization exploration of data to be analyzed visual program of analysis sequence resulting map overlay operationalized concepts d
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visualizing structure in discourse
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Delphi discourse structure – concept development
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visualizing structure in discourse demographics governance development climate trends Delphi discourse structure – semantic network
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concept graphing interface to knowledge management ontologies create from scratch from existing ontologies edit browse
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HERO: knowledge portal
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CODEX: a prototype knowledge management system
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Discussion formalizing this approach extend concept visualization visual support for group thinking empirical validation and extension through the HERO living laboratory
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challenges for collaborative science infrastructure supporting situated work practices overcoming resistance to introspection relaxing domain constraints
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