Détail de l'auteur
Auteur Daniel A. Griffith (1948-....)
Commentaire :
University of Texas at Dallas ; College of Public Health at the University of South Florida ; Department of Resource Economics and Environmental Sociology at the University of Alberta
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Documents disponibles écrits par cet auteur (5)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la rechercheAdvanced introduction to spatial statistics / Daniel A. Griffith / Cheltenham (GBR) ; Camberley (GBR) ; Northampton, MA : Edward Elgar (2022)
Titre : Advanced introduction to spatial statistics Type de document : texte imprimé Auteurs : Daniel A. Griffith (1948-....) ; Bin Li Editeur : Cheltenham (GBR) ; Camberley (GBR) ; Northampton, MA : Edward Elgar Année de publication : 2022 Collection : Elgar Advanced introductions series, ISSN 2514-8168 Importance : xviii-178 p. Présentation : fig.,tabl. Ill. en couleur Format : 22 cm ISBN/ISSN/EAN : 978-1-80037-283-2 Note générale : Bibliogr. p. 153-164. Index Langues : Anglais (eng) Descripteurs : Analyse spatiale , Estimation d'un modèle , Géostatistique , Modélisation , Variable aléatoire Tags : Geospatial data Spatial analysis (Statistics) Index. décimale : 258 Géostatistique - Environnemétrie Résumé : This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. [D'après le résumé de l'éditeur] Note de contenu : Autre ISBN (Relié) = 978-1800372818 En ligne : https://www.e-elgar.com/shop/gbp/advanced-introduction-to-spatial-statistics-978 [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=170988 Advanced introduction to spatial statistics [texte imprimé] / Daniel A. Griffith (1948-....) ; Bin Li . - Cheltenham (GBR) ; Camberley (GBR) ; Northampton, MA : Edward Elgar, 2022 . - xviii-178 p. : fig.,tabl. Ill. en couleur ; 22 cm. - (Elgar Advanced introductions series, ISSN 2514-8168) .
ISBN : 978-1-80037-283-2
Bibliogr. p. 153-164. Index
Langues : Anglais (eng)
Descripteurs : Analyse spatiale , Estimation d'un modèle , Géostatistique , Modélisation , Variable aléatoire Tags : Geospatial data Spatial analysis (Statistics) Index. décimale : 258 Géostatistique - Environnemétrie Résumé : This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. [D'après le résumé de l'éditeur] Note de contenu : Autre ISBN (Relié) = 978-1800372818 En ligne : https://www.e-elgar.com/shop/gbp/advanced-introduction-to-spatial-statistics-978 [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=170988 Réservation
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Titre : Econometric advances in spatial modelling and methodology : essays in Honour of Jean Paelinck Autre titre : [Mélanges. Paelinck, Jean H. P.] Type de document : texte imprimé Auteurs : Jean H.P. Paelinck (1930-....), Dédicataire ; Daniel A. Griffith (1948-....), Éditeur scientifique ; Carl G. Amrhein, Éditeur scientifique ; Jean-Marie Huriot, Éditeur scientifique ; Jean H.P. Paelinck (1930-....), Dédicataire Editeur : Boston, MA ; Norwell, MA ; Dordrecht (NLD) : Kluwer Academic Publishers Année de publication : 1998 Collection : Advanced Studies in Theoretical and Applied Econometrics [Kluwer 1982-2004], ISSN 1570-5811 num. 35 Importance : XV-194 p. Présentation : graph. Format : 25 cm ISBN/ISSN/EAN : 978-0-7923-4915-0 Note générale : Notes bibliogr. Index Langues : Anglais (eng) Descripteurs : Compilation de textes , Econométrie , Economie spatiale , Localisation (Théorie) Index. décimale : 28 Econométrie - Modélisation En ligne : https://www.springer.com/gp/book/9780792349150 Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=37254 Econometric advances in spatial modelling and methodology : essays in Honour of Jean Paelinck ; [Mélanges. Paelinck, Jean H. P.] [texte imprimé] / Jean H.P. Paelinck (1930-....), Dédicataire ; Daniel A. Griffith (1948-....), Éditeur scientifique ; Carl G. Amrhein, Éditeur scientifique ; Jean-Marie Huriot, Éditeur scientifique ; Jean H.P. Paelinck (1930-....), Dédicataire . - Boston, MA ; Norwell, MA ; Dordrecht (NLD) : Kluwer Academic Publishers, 1998 . - XV-194 p. : graph. ; 25 cm. - (Advanced Studies in Theoretical and Applied Econometrics [Kluwer 1982-2004], ISSN 1570-5811; 35) .
ISBN : 978-0-7923-4915-0
Notes bibliogr. Index
Langues : Anglais (eng)
Descripteurs : Compilation de textes , Econométrie , Economie spatiale , Localisation (Théorie) Index. décimale : 28 Econométrie - Modélisation En ligne : https://www.springer.com/gp/book/9780792349150 Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=37254 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 30001394754 28 GRI Ouvrage ENSAE 2. Statistique Disponible 30001381130 28 GRI Ouvrage ENSAE 2. Statistique Disponible Morphisms for Quantitative Spatial Analysis / Daniel A. Griffith / Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer (2018)
Titre : Morphisms for Quantitative Spatial Analysis Type de document : document électronique Auteurs : Daniel A. Griffith (1948-....), ; Jean H.P. Paelinck (1930-....), ; SpringerLink (Online service) Editeur : Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer Année de publication : 2018 Collection : Advanced Studies in Theoretical and Applied Econometrics [Springer 2005-....], ISSN 1570-5811 num. 51 Importance : XIII, 258 p Présentation : online resource ISBN/ISSN/EAN : 978-3-319-72553-6 Langues : Anglais (eng) Tags : Econometrics Geographical information systems Statistics Regional economics Geographical Information Systems Cartography Statistics for Social Sciences Humanities Law Regional Spatial Science Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences Humanities and Social Sciences multidisciplinary Résumé : This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011. Note de contenu : Preamble -- Introduction to Part 1: Spatial statistics -- Spatial autocorrelation and the p-Median problem -- Space-time autocorrelation -- The relative importance of spatial and temporal autocorrelation -- The spatial weights matrix and ESF -- Clustering: Spatial autocorrelation and location quotients -- Spatial autocorrelation parameter estimation for massively large georeferenced datasets -- Space-time data and semi-saturated fixed effects -- Spatial autocorrelation and spatial interaction gravity models -- General conclusions about spatial statistics -- Introduction to Part 2: Spatial econometrics -- Tinbergen-Bos systems: Combining combinatorial analysis with metric topology -- Time, space, or econotimespace?- Hybrid dynamical systems and control -- The W matrix revisited -- Clustering, some non-standard approaches -- Linear expenditure systems and related estimation problems -- Structural indicators galore -- Traveling with the salesman -- Complexer and complexer, said Alice -- General conclusions about spatial econometrics -- Epilogue -- References -- Subject index -- Author's index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=142370 Morphisms for Quantitative Spatial Analysis [document électronique] / Daniel A. Griffith (1948-....), ; Jean H.P. Paelinck (1930-....), ; SpringerLink (Online service)
ISBN : 978-3-319-72553-6
Langues : Anglais (eng)
Tags : Econometrics Geographical information systems Statistics Regional economics Geographical Information Systems Cartography Statistics for Social Sciences Humanities Law Regional Spatial Science Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences Humanities and Social Sciences multidisciplinary Résumé : This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011. Note de contenu : Preamble -- Introduction to Part 1: Spatial statistics -- Spatial autocorrelation and the p-Median problem -- Space-time autocorrelation -- The relative importance of spatial and temporal autocorrelation -- The spatial weights matrix and ESF -- Clustering: Spatial autocorrelation and location quotients -- Spatial autocorrelation parameter estimation for massively large georeferenced datasets -- Space-time data and semi-saturated fixed effects -- Spatial autocorrelation and spatial interaction gravity models -- General conclusions about spatial statistics -- Introduction to Part 2: Spatial econometrics -- Tinbergen-Bos systems: Combining combinatorial analysis with metric topology -- Time, space, or econotimespace?- Hybrid dynamical systems and control -- The W matrix revisited -- Clustering, some non-standard approaches -- Linear expenditure systems and related estimation problems -- Structural indicators galore -- Traveling with the salesman -- Complexer and complexer, said Alice -- General conclusions about spatial econometrics -- Epilogue -- References -- Subject index -- Author's index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=142370
Titre : Non-standard spatial statistics and spatial econometrics Type de document : texte imprimé Auteurs : Daniel A. Griffith (1948-....) ; Jean H.P. Paelinck (1930-....) Editeur : Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer Année de publication : 2011 Collection : Advances in geographic information science, ISSN 1867-2434 Importance : XXXV-262 p. Présentation : ill. en noir, maps Format : 24 cm ISBN/ISSN/EAN : 978-3-642-16042-4 Note générale : bibliogr., index Langues : Anglais (eng) Descripteurs : Analyse spatiale , Démographie , Econométrie , Population Index. décimale : 258 Géostatistique - Environnemétrie En ligne : http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-3-642- [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=95009 Non-standard spatial statistics and spatial econometrics [texte imprimé] / Daniel A. Griffith (1948-....) ; Jean H.P. Paelinck (1930-....) . - Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer, 2011 . - XXXV-262 p. : ill. en noir, maps ; 24 cm. - (Advances in geographic information science, ISSN 1867-2434) .
ISBN : 978-3-642-16042-4
bibliogr., index
Langues : Anglais (eng)
Descripteurs : Analyse spatiale , Démographie , Econométrie , Population Index. décimale : 258 Géostatistique - Environnemétrie En ligne : http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-3-642- [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=95009 Réservation
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Titre : Spatial statistics & geostatistics : theory and applications for geographic information science and technology Type de document : texte imprimé Auteurs : Yongwan Chun ; Daniel A. Griffith (1948-....) Editeur : Thousand Oaks, CA ; Londres : SAGE Publications Année de publication : 2013 Collection : SAGE Advances in Geographic Information Science and Technology Series Importance : XIV-181 p. Présentation : fig., tabl. Format : 25 cm ISBN/ISSN/EAN : 978-1-4462-0174-9 Note générale : Bibliogr. p. [169]-173. Index Langues : Anglais (eng) Descripteurs : Analyse spatiale , Géostatistique Tags : Geospatial data Spatial analysis (Statistics) Index. décimale : 258 Géostatistique - Environnemétrie Résumé : This book is ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. It explains difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice. Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling, spatial autocorrelation, local statistics, spatial interpolation in two-dimensions, advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. [D'après le résumé de l'éditeur] Note de contenu : Autre ISBN (hardcover) = 978-1-4462-0173-2 En ligne : https://uk.sagepub.com/en-gb/eur/spatial-statistics-and-geostatistics/book236769 Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=141399 Spatial statistics & geostatistics : theory and applications for geographic information science and technology [texte imprimé] / Yongwan Chun ; Daniel A. Griffith (1948-....) . - Thousand Oaks, CA ; Londres : SAGE Publications, 2013 . - XIV-181 p. : fig., tabl. ; 25 cm. - (SAGE Advances in Geographic Information Science and Technology Series) .
ISBN : 978-1-4462-0174-9
Bibliogr. p. [169]-173. Index
Langues : Anglais (eng)
Descripteurs : Analyse spatiale , Géostatistique Tags : Geospatial data Spatial analysis (Statistics) Index. décimale : 258 Géostatistique - Environnemétrie Résumé : This book is ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. It explains difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice. Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling, spatial autocorrelation, local statistics, spatial interpolation in two-dimensions, advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. [D'après le résumé de l'éditeur] Note de contenu : Autre ISBN (hardcover) = 978-1-4462-0173-2 En ligne : https://uk.sagepub.com/en-gb/eur/spatial-statistics-and-geostatistics/book236769 Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=141399 Réservation
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