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Spatial analysis with R: statistics, visualization, and computational methods / Tonny J. Oyana (2015)
Titre : Spatial analysis with R: statistics, visualization, and computational methods Type de document : livre Auteurs : Tonny J. Oyana, Auteur Mention d'édition : 1st ed. Editeur : Boca Raton, Florida : CRC Press Année de publication : 2015 Importance : 333 p. ISBN/ISSN/EAN : 978-0-367-53238-3 Prix : 44.99 GBP Note générale : Le site éditeur indique : In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. Langues : Anglais (eng) Mots-clés : Spatial analysis R (Computer program language) Statistical methods Geographical information systems Spatial data Note de contenu : Data for this textbook downloaded at : https://www.taylorfrancis.com/books/9781003021643 En ligne : https://www.routledge.com/Spatial-Analysis-with-R-Statistics-Visualization-and-C [...] Spatial analysis with R: statistics, visualization, and computational methods [livre] / Tonny J. Oyana, Auteur . - 1st ed. . - Boca Raton, Florida : CRC Press, 2015 . - 333 p.
ISBN : 978-0-367-53238-3 : 44.99 GBP
Le site éditeur indique : In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.
Langues : Anglais (eng)
Mots-clés : Spatial analysis R (Computer program language) Statistical methods Geographical information systems Spatial data Note de contenu : Data for this textbook downloaded at : https://www.taylorfrancis.com/books/9781003021643 En ligne : https://www.routledge.com/Spatial-Analysis-with-R-Statistics-Visualization-and-C [...] Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 69899 OYA_22_69899 Livre Salle des ouvrages 22_Géomatique Sorti jusqu'au 25/04/2049
Titre : An introduction to R for spatial analysis and mapping Type de document : livre Auteurs : Chris Brunsdon, Auteur ; Lex Comber, Auteur Mention d'édition : 2nd ed. Editeur : London : Sage Année de publication : 2019 Collection : Spatial analytics and GIS Importance : 325 p. ISBN/ISSN/EAN : 978-1-5264-2850-9 Note générale : First ed. publ. 2015, reprinted 2015, 2016, 2017; This ed. first publ. 2019; Online resources (the site contains all of the code, scripts, exercises and self-test questions contained in each chapter, and these are available to download) : https://study.sagepub.com/brunsdon2e Langues : Anglais (eng) Mots-clés : R (Computer program language) Spatial analysis Spatial data Cartography Geographical information systems Résumé : Le site éditeur indique : This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more.
Revised and updated, each chapter includes:
* example data and commands to explore hands-on;
* scripts and coding to exemplify specific functionality;
* self-contained exercises for students to work through;
* embedded code within the descriptive text.
The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.En ligne : https://uk.sagepub.com/en-gb/eur/an-introduction-to-r-for-spatial-analysis-and-m [...] An introduction to R for spatial analysis and mapping [livre] / Chris Brunsdon, Auteur ; Lex Comber, Auteur . - 2nd ed. . - London : Sage, 2019 . - 325 p.. - (Spatial analytics and GIS) .
ISBN : 978-1-5264-2850-9
First ed. publ. 2015, reprinted 2015, 2016, 2017; This ed. first publ. 2019; Online resources (the site contains all of the code, scripts, exercises and self-test questions contained in each chapter, and these are available to download) : https://study.sagepub.com/brunsdon2e
Langues : Anglais (eng)
Mots-clés : R (Computer program language) Spatial analysis Spatial data Cartography Geographical information systems Résumé : Le site éditeur indique : This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more.
Revised and updated, each chapter includes:
* example data and commands to explore hands-on;
* scripts and coding to exemplify specific functionality;
* self-contained exercises for students to work through;
* embedded code within the descriptive text.
The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.En ligne : https://uk.sagepub.com/en-gb/eur/an-introduction-to-r-for-spatial-analysis-and-m [...] Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 69868 BRU_22_69868 Livre Salle des ouvrages 22_Géomatique Sorti jusqu'au 05/02/2044 Models in spatial analysis / Sanders, L.(Ed.) (2007)
Titre : Models in spatial analysis Type de document : livre Auteurs : Sanders, L.(Ed.) Editeur : London : ISTE Editions Année de publication : 2007 Collection : Geographical information systems series Importance : 319 p. ISBN/ISSN/EAN : 978-1-905209-09-5 Note générale : Inventaire 2008: Pointé et ré-emprunté le 19/03/2008 Langues : Anglais (eng) Mots-clés : Geographic information systems Spatial analysis Statistical methods Résumé : This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters come from a range of different disciplines (geography, economy, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics. Note de contenu : Hbk; Models in spatial analysis [livre] / Sanders, L.(Ed.) . - London : ISTE Editions, 2007 . - 319 p.. - (Geographical information systems series) .
ISBN : 978-1-905209-09-5
Inventaire 2008: Pointé et ré-emprunté le 19/03/2008
Langues : Anglais (eng)
Mots-clés : Geographic information systems Spatial analysis Statistical methods Résumé : This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters come from a range of different disciplines (geography, economy, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics. Note de contenu : Hbk; Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 68150 San_22_68150 Livre Salle des ouvrages 22_Géomatique Disponible Spatial pattern analysis in plant ecology / Mark R. T. Dale (2000)
Titre : Spatial pattern analysis in plant ecology Type de document : livre Auteurs : Mark R. T. Dale, Auteur Mention d'édition : 1st pbk ed. Editeur : Cambridge, UK : Cambridge University Press Année de publication : 2000 Collection : Cambridge studies in ecology Importance : 326 p. ISBN/ISSN/EAN : 978-0-521-79437-4 Note générale : ISBN-10 : 0-521-79437-4; First publ. 1999, reprinted 2000, first paperback edition 2000; Voir aussi la version First hbk ed. 1999 à la cote 63250 (ISBN-10 : 0-521-45227-9) Langues : Anglais (eng) Mots-clés : Analyse Echantillonnage Ecologie végétale GRADIENT Methode Plant ecology Spatial analysis Statistical methods Spatial pattern analysis in plant ecology [livre] / Mark R. T. Dale, Auteur . - 1st pbk ed. . - Cambridge, UK : Cambridge University Press, 2000 . - 326 p.. - (Cambridge studies in ecology) .
ISBN : 978-0-521-79437-4
ISBN-10 : 0-521-79437-4; First publ. 1999, reprinted 2000, first paperback edition 2000; Voir aussi la version First hbk ed. 1999 à la cote 63250 (ISBN-10 : 0-521-45227-9)
Langues : Anglais (eng)
Mots-clés : Analyse Echantillonnage Ecologie végétale GRADIENT Methode Plant ecology Spatial analysis Statistical methods Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 66609 DAL_15_66609 Livre Salle des ouvrages 15_Ecologie_générale Disponible Spatial pattern analysis in plant ecology / Mark R. T. Dale (1999)
Titre : Spatial pattern analysis in plant ecology Type de document : livre Auteurs : Mark R. T. Dale, Auteur Mention d'édition : 1st ed. Editeur : Cambridge, UK : Cambridge University Press Année de publication : 1999 Collection : Cambridge studies in ecology Importance : 326 p. ISBN/ISSN/EAN : 978-0-521-45227-4 Note générale : ISBN-10 : 0-521-45227-4; Voir aussi la version First pbk ed. 2000 à la cote 66609/15 (ISBN-10 : 0-521-79437-4) Langues : Anglais (eng) Mots-clés : Analyse Echantillonnage Ecologie végétale GRADIENT Methode Plant ecology Spatial analysis Statistical methods Spatial pattern analysis in plant ecology [livre] / Mark R. T. Dale, Auteur . - 1st ed. . - Cambridge, UK : Cambridge University Press, 1999 . - 326 p.. - (Cambridge studies in ecology) .
ISBN : 978-0-521-45227-4
ISBN-10 : 0-521-45227-4; Voir aussi la version First pbk ed. 2000 à la cote 66609/15 (ISBN-10 : 0-521-79437-4)
Langues : Anglais (eng)
Mots-clés : Analyse Echantillonnage Ecologie végétale GRADIENT Methode Plant ecology Spatial analysis Statistical methods Exemplaires (1)
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