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An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
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After completing his postdoctoral studies in the USA, George Grekousis now teaches geography-related courses as Associate Professor in China. His interdisciplinary research focuses on spatial analysis, geodemographics, and artificial intelligence. Dr Grekousis has been awarded several grants from well-known international bodies, and his research has been published in several leading journals, including Computers, Environment and Urban Systems, PLOS One, and Applied Geography.
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Spatial Analysis Methods and Practice: Describe â" Explore â" Explain through GIS
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Cambridge University Press, 2020
ISBN 10: 1108712932
ISBN 13: 9781108712934
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_439479156
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Spatial Analysis Methods and Practice: Describe - Explore - Explain Through GIS
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Cambridge University Press, 2020
ISBN 10: 1108712932
ISBN 13: 9781108712934
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Spatial Analysis Methods and Practice : Describe ? Explore ? Explain Through GIS
Editore:
Cambridge University Press, 2020
ISBN 10: 1108712932
ISBN 13: 9781108712934
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Spatial Analysis Methods and Practice (Paperback)
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Cambridge University Press, Cambridge, 2020
ISBN 10: 1108712932
ISBN 13: 9781108712934
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Paperback. Condizione: new. Paperback. 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. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781108712934
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