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Exploring spatial scale in geography / / Christopher D. Lloyd
Exploring spatial scale in geography / / Christopher D. Lloyd
Autore Lloyd Christopher D
Pubbl/distr/stampa Chichester, England : , : Wiley-Blackwell, , 2014
Descrizione fisica 1 online resource (275 p.)
Disciplina 333.9511
Soggetto topico Biodiversity
Ecosystem health
Habitat (Ecology)
Habitat conservation
ISBN 1-118-52672-4
1-118-52679-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring Spatial Scale in Geography; Contents; Preface; Acknowledgements; About the Companion Website; 1 Introduction; 1.1 The purpose of the book; 1.1.1 What this book adds; 1.1.2 Scales of analysis and alternative definitions; 1.3 Case studies and examples; 1.4 Why is spatial scale important?; 1.5 Structure of the book; 1.6 Further reading; References; 2 Scale in Spatial Data Analysis: Key Concepts; 2.1 Definitions of spatial scale; 2.2 Spatial autocorrelation and spatial dependence; 2.3 Scale dependence; 2.4 Scale and data models; 2.5 Spatial scales of inquiry
2.6 Scale and spatial data analysis2.7 Scale and neighbourhoods; 2.8 Scale and space; 2.9 Scale, spatial data analysis and physical processes; 2.10 Scale, spatial data analysis and social processes; 2.11 Summary; 2.12 Further reading; References; 3 The Modifiable Areal Unit Problem; 3.1 Basic concepts; 3.2 Scale and zonation effects; 3.3 The ecological fallacy; 3.4 The MAUP and univariate statistics; 3.4.1 Case study: segregation in Northern Ireland; 3.4.2 Spatial approaches to segregation; 3.5 Geographical weighting and the MAUP; 3.6 The MAUP and multivariate statistics
3.6.1 Case study: population variables in Northern Ireland3.7 Zone design; 3.8 Summary; 3.9 Further reading; References; 4 Measuring Spatial Structure; 4.1 Basic concepts; 4.2 Measures of spatial autocorrelation; 4.2.1 Neighbourhood size; 4.2.2 Spatial autocorrelation and kernel size; 4.2.3 Spatial autocorrelation and lags; 4.2.4 Local measures; 4.2.5 Global and local and spatial scale; 4.3 Geostatistics and characterising spatial structure; 4.3.1 The theory of regionalised variables; 4.4 The variogram; 4.4.1 Bias in variogram estimation; 4.5 The covariance function and correlogram
4.6 Alternative measures of spatial structure4.7 Measuring dependence between variables; 4.8 Variograms of risk; 4.9 Variogram clouds and h-scatterplots; 4.10 Variogram models; 4.11 Fitting variogram models; 4.12 Variogram case study; 4.12 Variogram case study; 4.13 Anisotropy and variograms; 4.13.1 Variogram surfaces; 4.13.2 Geometric and zonal anisotropy; 4.14 Variograms and non-stationarity; 4.14.1 Variograms and long-range trends; 4.14.2 Variogram non-stationarity; 4.15 Space-time variograms; 4.16 Software; 4.17 Other methods; 4.18 Point pattern analysis
4.18.1 Spatial dependence and point patterns4.18.2 Local function; 4.18.3 Cross function; 4.19 Summary; 4.20 Further reading; References; 5 Scale and Multivariate Data; 5.1 Regression frameworks; 5.2 Spatial scale and regression; 5.3 Global regression; 5.4 Spatial regression; 5.5 Regression and spatial data; 5.5.1 Generalised least squares; 5.5.2 Spatial autoregressive models; 5.5.3 Spatially lagged dependent variable models and spatial error models case study; 5.6 Local regression and spatial scale; 5.6.1 Spatial expansion method; 5.6.2 Geographically weighted regression; 5.6.3 Scale and GWR
5.6.4 GWR case study: fixed bandwidths
Record Nr. UNINA-9910140285703321
Lloyd Christopher D  
Chichester, England : , : Wiley-Blackwell, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Exploring spatial scale in geography / / Christopher D. Lloyd
Exploring spatial scale in geography / / Christopher D. Lloyd
Autore Lloyd Christopher D
Pubbl/distr/stampa Chichester, England : , : Wiley-Blackwell, , 2014
Descrizione fisica 1 online resource (275 p.)
Disciplina 333.9511
Soggetto topico Biodiversity
Ecosystem health
Habitat (Ecology)
Habitat conservation
ISBN 1-118-52672-4
1-118-52679-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring Spatial Scale in Geography; Contents; Preface; Acknowledgements; About the Companion Website; 1 Introduction; 1.1 The purpose of the book; 1.1.1 What this book adds; 1.1.2 Scales of analysis and alternative definitions; 1.3 Case studies and examples; 1.4 Why is spatial scale important?; 1.5 Structure of the book; 1.6 Further reading; References; 2 Scale in Spatial Data Analysis: Key Concepts; 2.1 Definitions of spatial scale; 2.2 Spatial autocorrelation and spatial dependence; 2.3 Scale dependence; 2.4 Scale and data models; 2.5 Spatial scales of inquiry
2.6 Scale and spatial data analysis2.7 Scale and neighbourhoods; 2.8 Scale and space; 2.9 Scale, spatial data analysis and physical processes; 2.10 Scale, spatial data analysis and social processes; 2.11 Summary; 2.12 Further reading; References; 3 The Modifiable Areal Unit Problem; 3.1 Basic concepts; 3.2 Scale and zonation effects; 3.3 The ecological fallacy; 3.4 The MAUP and univariate statistics; 3.4.1 Case study: segregation in Northern Ireland; 3.4.2 Spatial approaches to segregation; 3.5 Geographical weighting and the MAUP; 3.6 The MAUP and multivariate statistics
3.6.1 Case study: population variables in Northern Ireland3.7 Zone design; 3.8 Summary; 3.9 Further reading; References; 4 Measuring Spatial Structure; 4.1 Basic concepts; 4.2 Measures of spatial autocorrelation; 4.2.1 Neighbourhood size; 4.2.2 Spatial autocorrelation and kernel size; 4.2.3 Spatial autocorrelation and lags; 4.2.4 Local measures; 4.2.5 Global and local and spatial scale; 4.3 Geostatistics and characterising spatial structure; 4.3.1 The theory of regionalised variables; 4.4 The variogram; 4.4.1 Bias in variogram estimation; 4.5 The covariance function and correlogram
4.6 Alternative measures of spatial structure4.7 Measuring dependence between variables; 4.8 Variograms of risk; 4.9 Variogram clouds and h-scatterplots; 4.10 Variogram models; 4.11 Fitting variogram models; 4.12 Variogram case study; 4.12 Variogram case study; 4.13 Anisotropy and variograms; 4.13.1 Variogram surfaces; 4.13.2 Geometric and zonal anisotropy; 4.14 Variograms and non-stationarity; 4.14.1 Variograms and long-range trends; 4.14.2 Variogram non-stationarity; 4.15 Space-time variograms; 4.16 Software; 4.17 Other methods; 4.18 Point pattern analysis
4.18.1 Spatial dependence and point patterns4.18.2 Local function; 4.18.3 Cross function; 4.19 Summary; 4.20 Further reading; References; 5 Scale and Multivariate Data; 5.1 Regression frameworks; 5.2 Spatial scale and regression; 5.3 Global regression; 5.4 Spatial regression; 5.5 Regression and spatial data; 5.5.1 Generalised least squares; 5.5.2 Spatial autoregressive models; 5.5.3 Spatially lagged dependent variable models and spatial error models case study; 5.6 Local regression and spatial scale; 5.6.1 Spatial expansion method; 5.6.2 Geographically weighted regression; 5.6.3 Scale and GWR
5.6.4 GWR case study: fixed bandwidths
Record Nr. UNINA-9910818122003321
Lloyd Christopher D  
Chichester, England : , : Wiley-Blackwell, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Local models for spatial analysis / / Christopher D. Lloyd
Local models for spatial analysis / / Christopher D. Lloyd
Autore Lloyd Christopher D
Edizione [2nd ed.]
Pubbl/distr/stampa Boca Raton, FL, : CRC Press, 2010
Descrizione fisica 1 online resource (353 p.)
Disciplina 519.5
Soggetto topico Geographic information systems - Mathematical models
Spatial analysis (Statistics)
ISBN 1-04-006661-5
0-429-15156-X
1-282-90306-3
9786612903069
1-4398-2923-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title; Copyright; Contents; Preface to the second edition; Acknowledgements; 1 Introduction; 2 Local Modelling; 3 Grid Data; 4 Spatial Patterning; 5 Spatial Relations; 6 Spatial Prediction 1: Deterministic Methods, Curve Fitting, and Smoothing; 7 Spatial Prediction 2: Geostatistics; 8 Point Patterns and Cluster Detection; 9 Summary: Local Models for Spatial Analysis; A Software; References; Index
Record Nr. UNINA-9910817290803321
Lloyd Christopher D  
Boca Raton, FL, : CRC Press, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui