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210123 ||| eng |
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|a 9781783984374
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| 050 |
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4 |
|a G70.217.G46
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| 100 |
1 |
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|a Dorman, Michael
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| 245 |
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|a Learning R for geospatial analysis
|b leverage the power of R to elegantly manage crucial geospatial analysis tasks
|c Michael Dorman
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| 260 |
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|a Birmingham, England
|b Packt Publishing
|c 2014
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| 300 |
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|a 364 pages
|b color illustrations
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| 505 |
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|a Subsetting with numeric vectors of indicesSubsetting with logical vectors; Dealing with missing values; Missing values and their effect on data; Detecting missing values in vectors; Performing calculations on vectors with missing values; Writing new functions; Defining our own functions; Setting default values for the arguments; Working with dates and time series; Specialized time series classes in R; Reading climatic data from a CSV file; Converting character values to dates; Examining our time series; Creating subsets based on dates; Introducing graphical functions
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| 505 |
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|a Calling functions to perform operationsA short sample session; Summary; Chapter 2: Working with Vectors and Time Series; Vectors -- the basic data structures in R; Different types of vectors; Using the assignment operator to save an object; Removing objects from memory; Summarizing vector properties; Element-by-element operations on vectors; The recycling principle; Using functions with several parameters; Supplying more than one argument in a function call; Creating default vectors; Creating repetitive vectors; Substrings; Creating subsets of vectors
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|a Includes bibliographical references and index
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|a Displaying vectors using base graphicsSaving graphical output; The main graphical systems in R; Summary; Chapter 3: Working with Tables; Using the data.frame class to represent tabular data; Creating a table from separate vectors; Creating a table from a CSV file; Examining the structure of a data.frame object; Subsetting data.frame objects; Calculating new data fields; Writing a data.frame object to a CSV file; Controlling code execution; Conditioning execution with conditional statements; Repeatedly executing code sections with loops
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The R Environment; Installing R and using the command line; Downloading R; Installing R; Using R as a calculator; Coding with R beyond the command line; Approaches to editing R code; Installation of RStudio; Using RStudio; Evaluating expressions; Using arithmetic and logical operators; Using functions; Dealing with warning and error messages; Getting help; Exploring the basic object types in R; Everything is an object; Storing data in data structures
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| 505 |
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|a Automated calculations using the apply family of functionsApplying a function on separate parts of a vector; Applying a function on rows or columns of a table; Inference from tables by joining, reshaping, and aggregating; Using contributed packages; Shifting between long and wide formats using melt and dcast; Aggregating with ddply; Joining tables with join; Summary; Chapter 4: Working with Rasters; Using the matrix and array classes; Representing two-dimensional data with a matrix; Representing more than two dimensions with an array; Data structures for rasters in the raster package
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|a Analyse spatiale (Statistique)
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| 653 |
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|a Spatial analysis (Statistics) / http://id.loc.gov/authorities/subjects/sh85126347
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| 653 |
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|a Geospatial data / fast
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| 653 |
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|a LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General / bisacsh
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| 653 |
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|a Geospatial data / http://id.loc.gov/authorities/subjects/sh2006006177
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| 653 |
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|a Données géospatiales
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| 653 |
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|a Spatial analysis (Statistics) / fast
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| 653 |
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|a spatial analysis / aat
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
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|a Community Experience Distilled
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| 015 |
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|a GBB6G3207
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| 776 |
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|z 1783984368
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| 776 |
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|z 1783984376
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| 776 |
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|z 9781783984367
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| 776 |
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|z 9781783984374
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781783984367/?ar
|x Verlag
|3 Volltext
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|a 500
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|a 025.06910285
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|a 519.5
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| 520 |
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|a Annotation
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