Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS /
"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...
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Формат: | text |
Хэл сонгох: | eng |
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Cambridge, United Kingdom ; New York, NY : Cambridge University Press,
2020
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Нөхцлүүд: |
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author | Grekousis, George, author 636122 |
author_facet | Grekousis, George, author 636122 |
author_sort | Grekousis, George, author 636122 |
collection | OCEAN |
description | "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, 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"-- |
first_indexed | 2024-03-05T16:36:57Z |
format | text |
id | KOHA-OAI-TEST:590253 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-05T16:36:57Z |
publishDate | 2020 |
publisher | Cambridge, United Kingdom ; New York, NY : Cambridge University Press, |
record_format | dspace |
spelling | KOHA-OAI-TEST:5902532023-01-24T01:24:36ZSpatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / Grekousis, George, author 636122 textCambridge, United Kingdom ; New York, NY : Cambridge University Press,2020©2020eng"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, 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"--Includes bibliographical references and index.1. Think spatially: basic concepts of spatial analysis and space conceptualization -- 2. Exploratory spatial data analysis tools and statistics -- 3. Analyzing geographic distributions and point patterns -- 4. Spatial autocorrelation -- 5. Multivariate data in geography: data reduction and clustering -- 6. Modeling relationships: regression and geographically weighted regression -- 7. Spatial econometrics."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, 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"--PSZ_JBSpatial analysis (Statistics)Geographic information systemsURN:ISBN:9781108498982 |
spellingShingle | Spatial analysis (Statistics) Geographic information systems Grekousis, George, author 636122 Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title | Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title_full | Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title_fullStr | Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title_full_unstemmed | Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title_short | Spatial Analysis Methods and Practice : Describe – Explore – Explain through GIS / |
title_sort | spatial analysis methods and practice describe explore explain through gis |
topic | Spatial analysis (Statistics) Geographic information systems |
work_keys_str_mv | AT grekousisgeorgeauthor636122 spatialanalysismethodsandpracticedescribeexploreexplainthroughgis |