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Spatial Analysis Methods and Practice: Describe ? Explore ? Explain through GIS

Spatial Analysis Methods and Practice: Describe ? Explore ? Explain through GIS

Spatial Analysis Methods and Practice: Describe ? Explore ? Explain through GIS
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Spatial Analysis Methods and Practice: Describe ? Explore ? Explain through GIS Hardback - 2020

by Grekousis, George

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  • Title Spatial Analysis Methods and Practice: Describe ? Explore ? Explain through GIS
  • Author Grekousis, George
  • Binding Hardback
  • Condition Used - Good
  • Pages 532
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-07-23
  • Features Bibliography, Index
  • Bookseller's Inventory # 1108498981.G
  • ISBN 9781108498982 / 1108498981
  • Weight 2.5 lbs (1.13 kg)
  • Dimensions 9.81 x 7.04 x 1.31 in (24.92 x 17.88 x 3.33 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Geographic information systems, Spatial analysis (Statistics)
  • Library of Congress Catalogue Number 2019038257
  • Dewey Decimal Code 910.285
  • Quantity available 1

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From the publisher

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.

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Citations

  • Choice, 05/01/2021, Page 0

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