967 resultados para Carceral Geography
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Mode of access: Internet.
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Mode of access: Internet.
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"Material is based on surveys made for the Medical department of the United States army ... The surveys ... represent the work of a large number of individuals associated ... with the Medical intelligence division of the Office of the # general of the United States army."--Pref.
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Translation of the author's Allegemeine erdkunde, Berlin, 1862.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Includes bibliographies.
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"This essay originated as an expansion of an address on 'Frontiers' delivered to the Hampshire branch of the Geographical association at the University college of Southampton on November 19, 1915."-Pref.
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Translation in part of Erdkunde von Asien.
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Human perception is finely tuned to extract structure about the 4D world of time and space as well as properties such as color and texture. Developing intuitions about spatial structure beyond 4D requires exploiting other perceptual and cognitive abilities. One of the most natural ways to explore complex spaces is for a user to actively navigate through them, using local explorations and global summaries to develop intuitions about structure, and then testing the developing ideas by further exploration. This article provides a brief overview of a technique for visualizing surfaces defined over moderate-dimensional binary spaces, by recursively unfolding them onto a 2D hypergraph. We briefly summarize the uses of a freely available Web-based visualization tool, Hyperspace Graph Paper (HSGP), for exploring fitness landscapes and search algorithms in evolutionary computation. HSGP provides a way for a user to actively explore a landscape, from simple tasks such as mapping the neighborhood structure of different points, to seeing global properties such as the size and distribution of basins of attraction or how different search algorithms interact with landscape structure. It has been most useful for exploring recursive and repetitive landscapes, and its strength is that it allows intuitions to be developed through active navigation by the user, and exploits the visual system's ability to detect pattern and texture. The technique is most effective when applied to continuous functions over Boolean variables using 4 to 16 dimensions.