Learning geospatial analysis par michael dorman (21 résultats)

Etat : Good. Key Features Book DescriptionThis book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software?a working installation of R is all that is necessary to begin.What you will learn Make inferences from tables by joining, reshaping, and aggregating Familiarize yourself with the R geospatial data analysis ecosystem Prepare reproducible, publicationquality plots and maps Efficiently process numeric data, characters, and dates Reshape tabular data into the necessary form for the specific task at hand Write R scripts to automate the handling of raster and vector spatial layers Process elevation rasters and time series visualizations of satellite images Perform GIS operations such as overlays and spatial queries between layers Spatially interpolate meteorological data to produce climate maps Who this book is for.…

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : Good. Key Features Book DescriptionThis book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software?a working installation of R is all that is necessary to begin.What you will learn Make inferences from tables by joining, reshaping, and aggregating Familiarize yourself with the R geospatial data analysis ecosystem Prepare reproducible, publicationquality plots and maps Efficiently process numeric data, characters, and dates Reshape tabular data into the necessary form for the specific task at hand Write R scripts to automate the handling of raster and vector spatial layers Process elevation rasters and time series visualizations of satellite images Perform GIS operations such as overlays and spatial queries between layers Spatially interpolate meteorological data to produce climate maps Who this book is for.…

Etat : New.

Etat : New.

Etat : New. Learning R for Geospatial Analysis (Paperback or Softback).

Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781783984367. …

Etat : As New. Unread book in perfect condition.

Etat : Used: Good. Occasion - Bon Etat - Learning R for geospatial analysis (2014) - Grand Format.

Etat : New. 364.

Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Etat : New. Print on Demand 364.

Etat : New. PRINT ON DEMAND 364.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnMichael Dorman is currently a PhD candidate at the Department of Geography and Environmental Development, Ben-Gurion University of the Negev. His research explores the response of planted pine forests to changing climate t.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage the power of R to elegantly manage crucial geospatial analysis tasksKey FeaturesWrite powerful R scripts to manipulate your spatial dataGain insight from spatial patterns utilizing R's advanced computation and visualization capabilitiesWork within a single spatial analysis environment from start to finishBook DescriptionR is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book shows you how to get the most out of R's visualization capabilities. The book culminates with examples of cutting-edge applications utilizing R's strengths as a statistical and graphical tool.What you will learnMake inferences from tables by joining, reshaping, and aggregatingFamiliarize yourself with the R geospatial data analysis ecosystemPrepare reproducible, publication-quality plots and mapsEfficiently process numeric data, characters, and datesReshape tabular data into the necessary form for the specific task at handWrite R scripts to automate the handling of raster and vector spatial layersProcess elevation rasters and time series visualizations of satellite imagesPerform GIS operations such as overlays and spatial queries between layersSpatially interpolate meteorological data to produce climate maps.…

Taschenbuch. Etat : Neu. Learning R for Geospatial Analysis | Leverage the power of R to elegantly manage crucial geospatial analysis tasks | Michael Dorman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Packt Publishing | EAN 9781783984367 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…