Spatial analysis methods and practice : describe-explore-explain through GIS
By: Grekousis, George.
Publisher: Cambridge Cambridge University Press 2020Description: xv, 518p.ISBN: 9781108712934.Subject(s): Spatial analysis (Statistics) | Geographic information systemsDDC classification: 910.285 | G863s Summary: 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.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 910.285 G863s (Browse shelf) | Available | A185453 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 910.285 G298 Geospatial technology for earth observation | 910.285 G298 Geospatial infrastructure, applications and technologies | 910.285 G29c2 Geocomputation | 910.285 G863s Spatial analysis methods and practice | 910.285 G869g3 Global navigation satellite systems, inertial navigation, and integration | 910.285 H191 The handbook of geographic information science | 910.285 Og1i Introduction to GNSS geodesy |
With solved examples in ArcGIS, GeoDa and GeoDa Space
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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