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Geocomputation with R (Chapman & Hall/CRC The R Series) de Robin Lovelace,Jakub Nowosad

Descripción - Críticas 'Geocomputation with R offers several advantages. Firstly, it uses up-to-date packages, mainly the 'sf' package for vector processing which was not available at the time the previous books were written. 'sf’' is truly a game-changer in the field of working with spatial data in R. I believe this alone makes writing the new book worthwhile. Secondly, the book offers a very broad overview, trying?and in my opinion succeeding?to encompass all non-statistical themes involved in geo-computation, including subjects such as location and transport modeling in R (chapters 7-8) which were never published before. Thirdly, the book offers a lot of illustrations and clearly demonstrates key concepts in GIS and geo-computation from the R point of view. I believe these characteristics will give the book an advantage and quite possibly make it the most popular choice in the category of spatial analysis in R for several years to come…The book can be used both as reference and as a textbook…The present book will definitely become the main textbook for this course once published.' ~Michael Dorman, Ben-Gurion University of the Negev

Reseña del editor Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), 'bridges' to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.

Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS. Biografía del autor Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems.

Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes.

Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Geocomputation with r geocomprgithubio class center, middle, inverse, titleslide geocomputation with r ltbrgt an overview of the field and introduction to the book robin lovelace geostat 20180820 geocomputation with r chapman amp hallcrc the r 配送商品ならgeocomputation with r chapman amp hallcrc the r seriesが通常配送無料更にならポイント還元本が多数lovelace, robin, nowosad, jakub, muenchow, jannes作品ほかお急ぎ便対象商品は当日お届けも可能 6 reprojecting geographic data geocomputation with r 6 reprojecting geographic data geocomputation with r is for people who want to analyze, visualize and model geographic data with open source software it is based on r, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities the book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic

Download free books onto your phone geocomputation with r geocomputation with r rcraft geocomputation with r by jakub nowosads website december 21, 2018 this article is thanks for visiting rcraft this article is originally published at geocomputation with r chapman amp hall crc the r series geocomputation with r is for people who want to analyze, visualize and model geographic data with open source software Preface geocomputation with r preface geocomputation with r is for people who want to analyze, visualize and model geographic data with open source software it is based on r, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities the book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with Chapter 1 introduction geocomputation with r chapter 1 introduction geocomputation with r is for people who want to analyze, visualize and model geographic data with open source software it is based on r, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities the book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data

Detalles del Libro

• Name: Geocomputation with R (Chapman & Hall/CRC The R Series)
  
• Autor: Robin Lovelace,Jakub Nowosad
  
• Categoria: Libros,Ciencias, tecnología y medicina,Ciencias de la Tierra
  
• Tamaño del archivo: 18 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

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