Statistical Geoinformatics for Human Environment Interface

Statistical Geoinformatics for Human Environment Interface book cover

Statistical Geoinformatics for Human Environment Interface

Author(s): Wayne L. Myers (Author), Ganapati P. Patil (Author)

  • Publisher: Routledge
  • Publication Date: 10 Sept. 2018
  • Edition: 1st
  • Language: English
  • Print length: 223 pages
  • ISBN-10: 1138372722
  • ISBN-13: 9781138372726

Book Description

Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators.

The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons. These paired paradigms enable:

    • The capacity to cope with complexity
    • Systematic surveillance
    • Visualization and communication
    • Preliminary prioritization
    • Coupling of GIS and statistical software
    • Avenues for automation

    Illustrating the interdisciplinary nature of geoinformatics, this book offers a novel approach to the spatial analysis of human influences and environmental resources. It includes practical strategies for statistical and spatial analysis.

    Editorial Reviews

    Review

    "… a refreshingly different approach to geospatial analysis, which has the potential to unify the disparate worlds of raster and vector GIS and to provide an integrated treatment of space and time. Readers accustomed to more traditional approaches to geoinformatics may find the book particularly thought provoking."
    ―Sally E. Goldin,
    Photogrammetric Engineering and Remote Sensing, December 2013

    From the Back Cover

    Illustrating the interdisciplinary nature of geoinformatics, this book presents two paradigms (localization and multiple indicators) for the spatial analysis of human influences and environmental resources. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons.

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