Getting Started with WebEx

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R

What is R?

• Open programming language for statistical computing and data analysis
   
• Implementation of the S programming language developed at Bell Laboratories
   
• Active user community constantly contributing new packages
   
• Over 8000 packages available on the Comprehensive R Archive Network (CRAN)

Why use R?

• De facto standard language for statisticians
  • Most state-of-the-art statistical methods implemented in packages available on CRAN
     
• One the fastest growing programming languages over the past ~5 years
   
• Powerful language for creating high quality plots and graphics
  • base R plots, ggplot2, ggvis

Development Environments

• RStudio
  • Open source and enterprise-ready professional software for R
  • Developed and maintained by team of reputable software engineers including Hadley Wickham
  • Keep your work organized using RStudio projects
     
• Recently announced R Tools for Visual Studio
  • Soon to be released, but can sign up for early access version

Getting Started with R

R Data Types

• R offers many of the conventional data types you may be used to using in other languages

  • numeric, integer, logical, character, list

• Several unique data types:

  • vector, data.frame, matrix, factor

Third Party Packages

• Many third party packages that extend the capabilities of base R
• Hadley stack

  • ggplot2, dplyr, stringr, tidyr, devtools

• Statistical modelling

  • car, lme4, caret, mgcv

• Spatial data

  • arcgisbinding, sp, maptools

• Time-series

  • zoo, xts, spacetime

• CRAN Task Views for categorized view of packages

The dplyr Package

• Package developed by Hadley Wickham to give users a fast, consistent tool for working with tabular data in R
• Improves on many of the base R methods for data frame manipulation
• Function for each basic verb of data manipulation:

  • filter, arrange, select, mutate, summarize

• Introduces the forward-pipe operator (i.e., %>%) for producing more intuitive workflows in R

crime_df %>%
  filter(Equity_Score > 80) %>%
  select(Neighbourhood, Thefts, Vehicle.Thefts) %>%
  arrange(Thefts, Vehicle.Thefts)

R - ArcGIS Bridge

R - ArcGIS Bridge

• ArcGIS developers can create custom tools that integrate R with ArcGIS
• Allows R users to access their organization's GIS data managed in traditional GIS ways 
• Create custom geoprocessing tools that are powered by R scripts

https://r-arcgis.github.io

Installing the R - ArcGIS Bridge

• Navigate to the R-Bridge Install GitHub page and download the Python toolbox
• Before installing, ensure that you have the correct version of R and ArcGIS installed:
  • R 3.1 or later
  • ArcGIS Pro 1.1 or later (for 64-bit R)
  • ArcGIS for Desktop 10.3.1 or later
    • 32-bit R by default in Desktop
    • 64-bit R available via ArcGIS for Server and background geoprocessing
• In future, will be able to use Conda to manage R environments

The arcgisbinding Package

• The arcgisbinding package allows R users to access data stored using ArcGIS native data types (e.g., geodatabase feature classes)

  • arc.open, arc.select, arc.write

• Convert ArcGIS data to an sp object, perform some analysis, and then write back to a geodatabase

  • arc.data2sp, arc.sp2data

• Convert between WKT and proj.4

  • arc.fromP4ToWkt, arc.fromWktToP4

• Interact with geometries

  • arc.shapeinfo, arc.shape2sp

• Package Documentation

Closing

Outreach

• Very interested in having other members of the R community contribute to the R - ArcGIS Bridge
  • Sample tools available on GitHub
  • Have questions?  Contact us!
  • Collaboration with R package developers

R Webinar Resources

• Download RStudio project and ArcGIS Pro project used during webinar:
  • https://github.com/cplouffe/r-arcgis-webinar​

Integrating R with ArcGIS: Part 2

• Quick review of arcgisbinding package
• Basic components of an R - ArcGIS script tool
• Writing a stand-alone R script that can be attached to an ArcGIS geoprocessing tool
• Constructing an R-ArcGIS script tool using ArcGIS Pro
• Using R-ArcGIS script tools in ModelBuilder workflows

Thanks

• R - ArcGIS Bridge Team at Esri US
  • Shaun Walbridge, Mark Janikas, Steve Kopp, Dmitry Pavlushko, Konstantin Krivoruchko
• ​Hadley Wickham
• R spatial community

Contact Information

Cameron Plouffe

cplouffe@esri.ca

R - ArcGIS Bridge Team

R_bridge@esri.com