"Microelaboratori elettronici - Programmi R." . . "Wiskundige statistiek." . . "R Datenanalyse Geoinformationssystem." . . "Spatial analysis Data processing." . . "Análisis espacial (Estadística)" . . "R Geoinformationssystem Datenanalyse." . . "Spatial analysis (Statistics)" . . "Datenanalyse." . . "MATHEMATICS Probability & Statistics General." . . "R." . . "R (Programm)" . . "Medicine & Public Health." . . "Electronic books." . . "R (Llenguatge de programació)" . . "Raumdaten." . . "R (Langage de programmation)" . . "R (langage de programmation)" . "Analyse spatiale (Statistique) Informatique." . . "Analyse spatiale (statistique) Informatique." . "R (logiciel)." . . "R (logiciel)" . "R (język programowania) zastosowania naukowe." . . "Dati statistici - Elaborazione elettronica." . . "Spatial analysis (Statistics) Data processing." . . "Datenanalyse Geoinformationssystem R (Programmiersprache)" . . "Geoinformationssystem Datenanalyse R (Programmiersprache)" . . "Analiza przestrzenna (statystyka) informatyka." . . "Environmental Monitoring/Analysis." . . "Anàlisi espacial (Estadística)" . . "Spatial Analysis." . . "Cartography." . . "Cartography" . "analyse spatiale R (logiciel) statistique." . . "Analyse spatiale." . . "R (Lenguaje de programación)" . . "Raumwirtschaft." . . "GeologyxMathematics." . . "Cartografía" . . "Statistica - Metodi matematici - Programmi per microelaboratori." . . "Quantitative Geology." . . . . "R (Programmiersprache) Datenanalyse Geoinformationssystem." . . "Statistics." . . "Statistics" . . . . . . . . . . . . "Applied Spatial Data Analysis withR"@en . . . . . . . . . . . . . . . . . . . . . . . "Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, area."@en . . . . . . . "Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003."@en . . . . . . . . . "Electronic books" . "Electronic books"@en . . . . . "Libros electrónicos" . . . . . "<>"@en . . . . . . . . "Applied spatial data : analysis with R" . . . . . . . . . . . . . . . . . "Addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions."@en . . . . . . . . "\"Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science.\"--Back cover."@en . "\"Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science.\"--Back cover." . "Addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions." . . . . . . . . "Applied Spatial Data Analysis with R"@en . . "Applied Spatial Data Analysis with R" . . . "Applied spatial data analysis with R" . "Applied spatial data analysis with R"@en . . . . . . . . . "This book addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions. The book is co-authored by a group involved in the Comprehensive R Archive Network." . "Geologia Mètodes estadístics Informàtica." . . "Springer Science+Business Media." . . "R (Programmiersprache) Geoinformationssystem Datenanalyse." . . "Medicine and Public Health." . . "R (Computer program language)." . . "R (Computer program language)" . "Statistics as Topic." . .