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Mapping Science Philadelphia, Dec 1-2, 2005 André Skupin Dept. of Geography San Diego State University.

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Presentation on theme: "Mapping Science Philadelphia, Dec 1-2, 2005 André Skupin Dept. of Geography San Diego State University."— Presentation transcript:

1 Mapping Science Philadelphia, Dec 1-2, 2005 André Skupin Dept. of Geography San Diego State University

2 Mapping Science premise/promise of geogr., cartogr., GIScience past results current projects future plans

3 Premise/Promise of Geography, Cartography, GIScience Perspectives on: –Conceptualization discrete objects vs. continuous fields –Metaphors place, region, scale –Methods labeling scale-dependence visualizing change –Technology GIS

4 Past Results AAG Meeting 1999: Self-Organizing Map + Hierarchical Clustering + Cluster Labeling

5 Past Results AAG Meeting 1999: SOM + Term Dominance Landscape + K-means Cluster Labeling

6 Current Projects AbstractMap Problems addressed: –source data –loose coupling –interactivity AbstractMap System AM Manager  data input, preprocessing, DB mgmt. AM Viewer  interactive exploration, queries AM Analyzer  visual domain analysis, incl. temporal

7 Current Projects AbstractMap AbstractMap Viewer

8 Current Projects AAG Conference Abstracts

9 data set –AAG Meetings 1993-2002 –# abstracts: 24,000+ –source data: MS Word, PDF spatialization 22,089 abstracts 2,586 terms 100x100 (10,000) neuron SOM 100,000 training runs approx. 1 week on Dual 2.2 GHz Xeon PC

10 AAG Meeting 1993 – 2002: Term Dominance Landscape

11 AAG Meeting 1993 – 2002: Term Dom. Landscape + Neuron Label Clusters

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13 NAS Workshop on Uncertainty Visualization: 3 sessions w/ 3-4 speakers + 1 discussant

14 Current Projects / Future Plans Change Trajectory vs. Change Surface Michael Goodchild (UC Santa Barbara) 1980 - 19891985 - 1994 [’85-’94] minus [’80-’89]

15 Another Interesting Question What’s “interactivity” anyway?

16 AAG Abstract Database – Future Work –Tool development and deployment AbstractMap System –AbstractMap Manager –AbstractMap Viewer scalability to large data sets? –Tool application time / geographic space / attribute space –cluster emergence/growth/abandonment –disciplinary evolution –institutional evolution –author trajectories / surfaces –links between conference site and topics integrate across disciplines –map of science


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