Qualitative spatial change
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Qualitative spatial change

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Published by Oxford University Press in Oxford, New York .
Written in English

Subjects:

  • Geographic information systems,
  • Space perception

Book details:

Edition Notes

Includes bibliographical references (p. [380]-393) and index

StatementAntony Galton
SeriesSpatial information systems
Classifications
LC ClassificationsG70.212 .G35 2000
The Physical Object
Paginationix, 409 p. :
Number of Pages409
ID Numbers
Open LibraryOL17005088M
ISBN 100198233973
LC Control Number00046503

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"Spatial change occurs whenever objects possess different spatial attributes at different times. This book discusses in detail the ingredients for a theory of qualitative spatial change: time, space, objects, their spatial attributes, and how these can very.   Qualitative Spatial Reasoning. Cite this entry as: () Qualitative Spatial Change. In: Shekhar S., Xiong H., Zhou X. (eds) Encyclopedia of GIS.   Qualitative Change in Human Geography is a collection of studies that tackles concerns about human geography. The papers presented in the book deal with qualitative issues regarding human geography. The text contains eight different discussions that cover topics such as the direction of social practice research and the concept of people Book Edition: 1. Spatial knowledge representation and reasoning with spatial knowledge are relevant issues for many application areas such as robotics, geographical information systems, and computer vision. Exceeding purely quantitative approaches, more recently initiated qualitative approaches allow for dealing with spatial information on a more abstract level.

  Galton A () Qualitative spatial change. Oxford University Press, Oxford/New York Google Scholar Klippel A, Li R, Yang J, Hardisty F, Xu S () The Egenhofer-Cohn hypothesis: or, topological relativity.   Thus, qualitative social scientists can use maps to analyze spatial clusters, proximity between areas with varied characteristics and resources, change in the process or phenomenon of interest over time, the spatial relationship between two or more phenomenon or processes, and/or historical patterns of the same and related phenomenon and processes. Spatial configurations tend to change. Dealing with spatial representations often means dealing with changing representations. Change in state for qualitative spatial representation languages has been analyzed through transition graphs in which relations form conceptual neighbourhoods via potential motion. Continuity has remained an implicitly assumed notion for any such understanding of motion. Formalized qualitative reasoning processes are shown to be a necessary part of Spatial Expert Systems and Geographical Information Systems. Addressing a subset of the total problem, namely reasoning with cardinal directions, a completely qualitative method, without recourse to analytical procedures, is introduced and a method for its formal.

SFB/TR 8 Spatial Cognition University of Bremen Germany ABSTRACT Qualitative spatial conceptualizations provide a relational abstraction and interface to the metrical realities of the physical world. Humans, robots and systems that act, and interact, are embedded in space. The space itself undergoes change all the time. Qualitative Spatial and Temporal Reasoning. Author(s): Gérard Ligozat; The book also includes a presentation of fuzzy extensions of qualitative calculi, and a description of the study of complexity in terms of clones of operations. Change Password. Old Password. New Password. Too Short Weak Medium Strong Very Strong Too Long. Congrats! In this book the author investigates whether deficiencies of reinforcement learning can be overcome by suitable abstraction methods. He discusses various forms of spatial abstraction, in particular qualitative abstraction, a form of representing knowledge that has been thoroughly investigated and successfully applied in spatial cognition : Hardcover. In general, geospatial data can be divided into two formats, raster and vector formats. A raster consists of a matrix of cells where each cell contains a value representing quantitative information, such as temperature, vegetation intensity, land use/cover, elevation, etc. A vector data consists of points, lines and polygons representing location or distance or area of landscape features in.