3 recherche sur le mot-clé 'Spatial data'

Spatial analysis with R: statistics, visualization, and computational methods / Tonny J. Oyana (2015)  

Public ISBD 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 25/05/2043

An introduction to R for spatial analysis and mapping / Chris Brunsdon (2019)  

Public ISBD 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

Animal movement: statistical models for telemetry data / Mevin B. Hooten (2017)  

Public ISBD Titre : Animal movement: statistical models for telemetry data Type de document : livre Auteurs : Mevin B. Hooten, Auteur ; Devin S. Johnson, Auteur ; Brett T. McClintock, Auteur ; Juan M. Morales, Auteur Editeur : Boca Raton, Florida : CRC Press Année de publication : 2017 Importance : 306 p. ISBN/ISSN/EAN : 978-1-4665-8214-9 Prix : 120.00 GBP Langues : Anglais (eng) Mots-clés : Animal ecology  Animal behaviour  Statistical methods  Biotelemetry  Spatial data Résumé : The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. After an initial overview examining the role that animal movement plays in ecology, a primer on spatial and temporal statistics provides a solid foundation for the remainder of the book. Each subsequent chapter outlines a fundamental type of statistical model utilized in the contemporary analysis of telemetry data for animal movement inference. Descriptions begin with basic traditional forms and sequentially build up to general classes of models in each category. Important background and technical details for each class of model are provided, including spatial point process models, discrete-time dynamic models, and continuous-time stochastic process models. The book also covers the essential elements for how to accommodate multiple sources of uncertainty, such as location error and latent behavior states. In addition to thorough descriptions of animal movement models, differences and connections are also emphasized to provide a broader perspective of approaches. En ligne : https://www.routledge.com/Animal-Movement-Statistical-Models-for-Telemetry-Data/ [...] Animal movement: statistical models for telemetry data [livre] / Mevin B. Hooten, Auteur ; Devin S. Johnson, Auteur ; Brett T. McClintock, Auteur ; Juan M. Morales, Auteur . - Boca Raton, Florida : CRC Press, 2017 . - 306 p. ISBN : 978-1-4665-8214-9 : 120.00 GBP Langues : Anglais (eng) Mots-clés : Animal ecology  Animal behaviour  Statistical methods  Biotelemetry  Spatial data Résumé : The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. After an initial overview examining the role that animal movement plays in ecology, a primer on spatial and temporal statistics provides a solid foundation for the remainder of the book. Each subsequent chapter outlines a fundamental type of statistical model utilized in the contemporary analysis of telemetry data for animal movement inference. Descriptions begin with basic traditional forms and sequentially build up to general classes of models in each category. Important background and technical details for each class of model are provided, including spatial point process models, discrete-time dynamic models, and continuous-time stochastic process models. The book also covers the essential elements for how to accommodate multiple sources of uncertainty, such as location error and latent behavior states. In addition to thorough descriptions of animal movement models, differences and connections are also emphasized to provide a broader perspective of approaches. En ligne : https://www.routledge.com/Animal-Movement-Statistical-Models-for-Telemetry-Data/ [...]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69712	HOO_04_69712	Livre	Salle des ouvrages	04_Ecologie_animale	Disponible