Cargando…
Learning R for Geospatial Analysis.
R 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....
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ma 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn899134729 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 150102s2014 xx o 000 0 eng d | ||
| 040 | |a IDEBK |b eng |e pn |c IDEBK |d EBLCP |d DEBBG |d OCLCQ |d FEM |d S8J |d OCLCO |d OCLCF |d ZCU |d XFH |d OCLCQ |d MERUC |d OCLCQ |d REB |d ICG |d AU@ |d OCLCQ |d WYU |d DKC |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d OCLCL | ||
| 019 | |a 968074906 |a 968996035 |a 994403822 | ||
| 020 | |a 1322566801 |q (ebk) | ||
| 020 | |a 9781322566801 |q (ebk) | ||
| 020 | |a 9781783984374 | ||
| 020 | |a 1783984376 | ||
| 020 | |a 1783984368 | ||
| 020 | |a 9781783984367 | ||
| 029 | 1 | |a DEBBG |b BV043617048 | |
| 029 | 1 | |a AU@ |b 000067108628 | |
| 035 | |a (OCoLC)899134729 |z (OCoLC)968074906 |z (OCoLC)968996035 |z (OCoLC)994403822 | ||
| 037 | |a 687962 |b MIL | ||
| 050 | 4 | |a T55.4-60.8 | |
| 082 | 0 | 4 | |a 004.0924 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Dorman, Michael. | |
| 245 | 1 | 0 | |a Learning R for Geospatial Analysis. |
| 260 | |b Packt Publishing, |c 2014. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a R 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. | ||
| 505 | 0 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 505 | 8 | |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. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Geospatial data. | |
| 650 | 0 | |a Spatial analysis (Statistics) | |
| 650 | 6 | |a Données géospatiales. | |
| 650 | 6 | |a Analyse spatiale (Statistique) | |
| 650 | 7 | |a spatial analysis. |2 aat | |
| 650 | 7 | |a Geospatial data |2 fast | |
| 650 | 7 | |a Spatial analysis (Statistics) |2 fast | |
| 758 | |i has work: |a Learning R for geospatial analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGY3WQVpq7yhcvvTttmHP3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Erscheint auch als: |n Druck-Ausgabe |t Dorman, Michael. Learning R for Geospatial Analysis |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1911526 |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL1911526 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis30424043 | ||
| 994 | |a 92 |b IZTAP | ||