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.
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1 Geocomputation, Sustainability and Environmental Planning Murgante · Borruso Lapucci (Eds.) 348 Studies in Computational Intelligence 1 3 348 The experience developed by Ian McHarg represents the first attempt to base Geocomputation with R - CRC Press Book
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. GEOCOMPUTATION TECHNIQUES IN SPATIAL DATA ANALYSIS: A SURVEY
GEOCOMPUTATION TECHNIQUES FOR SPATIAL ANALYSIS: IS IT THE CASE FOR HEALTH DATA SETS? GILBERTO CÂMARA ANTÔNIO MIGUEL VIEIRA MONTEIRO Image Processing Division, National Institute for Space Research, Brazil Abstract Geocomputation is an emerging field of research, which advocates the use of GitHub - rstudio/bookdown: Authoring Books and Technical ...
bookdown. A open-source (GPL-3) R package to facilitate writing books and long-form articles/reports with R Markdown. Features include: Generate printer-ready books and ebooks from R Markdown documents; A markup language easier to learn than LaTeX, and to write elements such as section headers, lists, quotes, figures, tables, and citations Download PDF Geocomputation With R eBook
Description : 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 skill (PDF) Geocomputation and Urban Planning - ResearchGate
PDF | Sixteen years ago, Franklin (1992) estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with Geocomputation With R | Download eBook PDF/EPUB
Format Available : PDF, ePub, Mobi Total Read : 40 Total Download : 558 File Size : 41,5 Mb. Description : Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. GeoComputation
The GeoComputation community has centred itself around a series of international research conferences initiated in 1996. From 2002 GeoComp has alternated every alternate year with GIScience . The conference moves to a different location each time.
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