Geocomputation with R. Robin Lovelace, Jakub Nowosad, Jannes Muenchow

Geocomputation with R

ISBN: 9781138304512 | 354 pages | 9 Mb

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  • Geocomputation with R
  • Robin Lovelace, Jakub Nowosad, Jannes Muenchow
  • Page: 354
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9781138304512
  • Publisher: Taylor & Francis
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Free audo book downloads Geocomputation with R (English Edition) by Robin Lovelace, Jakub Nowosad, Jannes Muenchow 9781138304512

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 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 by Robin Lovelace | Angus & Robertson
Geocomputation with R by Robin Lovelace in Books with free delivery over $60 at Australia's biggest online bookstore Angus & Robertson. (PDF) Open source geocomputation: using the R data analysis
PDF | We report on work in progress on the integration of the GRASS GIS, the R data analysis programming language and environment, and the PostgreSQL  Geocomputation with R
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  Geocomputation with R: workshop at eRum | R-bloggers
Together we're writing an open source book called Geocomputation with R. The project aims to introducing people to R's rapidly evolving  3 Attribute data operations - Geocomputation with R - Robin Lovelace
3 Attribute data operations | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. Geocomputation with R – the intermission | R-bloggers
Hello everybody! A lot of things have changed since the last blogpost about Geocomputation with R. In this post I'll give an update of our  6 Reprojecting geographic data | Geocomputation with R
6.1 Introduction. Section 2.4 introduced coordinate reference systems (CRSs) and demonstrated their importance. This chapter goes further. It highlights issues  

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