Mapping Knowledge Domains (2004) / Chapter Skim
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The world of geography: Visualizing a knowledge domain with cartographic means
The world of geography: Visualizing a knowledge domain with cartographic means
Pages 92-96
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From page 92... ...
Where ever-growing geospatial data repositories, advanced computing power, and cognitive insights meet, cartographers are advancing scientifically in a field known as geographic visualization. At the fringes of this activity, some cartographers have begun to attempt a combination of centuries of accumulated cartographic knowledge with modern computational approaches and cognitive insights, toward the visualization of nongeographic information.
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From page 93... ...
is/' Training ~ Compute 2-D · Compute 2-D Neuron Geometry Geometry Stop Word Removal _ ~ Low Frequency , Term Removal , / Term- / - / Document / Matrix , Trained / Clustering of SOM Compute Cluster SOM / ~ Neuron Vectors ~ Labels , ~ Compute 2-D _ Coordinates for _ Conference _ Abstracts 1 ~ 1 ~ >~ Visualization in r1 ~ 1 I Porter Devilment I Fig.
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From page 94... ...
Arguably, viewers of richly symbolized but static knowledge domain visualizations are engaged in a process of visual exploration as well. The choice of hierarchical clustering to create the large-format visualization discussed earlier is driven by the advantages it offers graphically, conceptually, and computationally.
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From page 95... ...
Of the three methods, the neuron label clustering approach matches the dominance landscape best, which makes sense because weighted term labels form the basis for computation of those two layers. Note how closely cluster boundaries follow Skupin "valley" features in the landscape, whereas "mountains" are enclosed.
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From page 96... ...
The computational procedures underlying multiscale visualizations may themselves be subject to visual inspection, and the resulting insights can inform the development of new or improved domain visualization methods. Conclusion This paper is largely driven by a desire to instigate reflection on the promise of the geographic metaphors and cartographic techniques that seem at the heart of so many knowledge domain visualizations.
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