BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

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
Stock photo: cover may vary

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

by George Grekousis

Add to wish list
  • New
  • Hardback
New

Description

. Hardback. New.
Ask the seller a question Add to wish list
A$213.56
A$5.66 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Spatial Analysis Methods and Practice: Describe – Explore – Explain through GIS
  • Author George Grekousis
  • Binding Hardback
  • Condition New
  • Pages 532
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date
  • Features Bibliography, Index
  • Bookseller's Inventory # 6378531239
  • 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

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Spatial Analysis Methods and Practice: Describe – Explore – Explain through GIS

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.

Media reviews

Citations

  • Choice, 05/01/2021, Page 0
tracking-