GithubHelp home page GithubHelp logo

arheem / r-bridge-tutorial-notebooks Goto Github PK

View Code? Open in Web Editor NEW

This project forked from r-arcgis/r-bridge-tutorial-notebooks

1.0 1.0 0.0 52.07 MB

Jupyter notebooks demonstrating setup and use of the R-ArcGIS bridge. The repo includes datasets required to run the Jupyter notebooks.

Jupyter Notebook 98.19% R 1.75% Batchfile 0.05%

r-bridge-tutorial-notebooks's Introduction

R-ArcGIS Bridge Tutorial Notebooks

Take the survey!

Static Notebooks

Overview

The goal of these notebooks is to serve as a reference. All code snippets and documentation notes are meant to be read. Any R coding practice should be done using the notebooks as a guide while in R or RStudio. This helps to ensure the information in the notebooks is maintained and not modified.

If attending a seminar held by the R-ArcGIS bridge team all data found in the notebooks will be loaded onto your machine. Data location will vary by organization.

Get Started

These notebooks were created in a conda environment set-up in the following fashion:

  1. Install R
  2. Install the R-ArcGIS Bridge
  3. Open the C:\ArcGIS\Pro\bin\Python\Scripts\proenv batch file
  4. Clone arcgispro-py3 environment: conda create --name arcgispro-r --clone arcgispro-py3
  5. Activate your new environment: activate arcgispro-r
  6. Install R-Essentials: conda install -c r r-essentials r-reticulate
  7. By default, the R version install is quite old. Update your packages: conda update --all
  8. Make sure your R version now it at least greater than 3.2.2
  9. In ArcGIS Pro, make sure you set your environment to arcgispro-r in the Python Package Manager

Running Notebooks Locally

If you wish to use these notebooks on a local machine, here are the details on how to do so:

  1. Set-up the proper environment to run them in.
  2. Paste notebooks into that location. For instance: C:\ArcGIS\Pro\bin\Python\envs\arcgispro-r
  3. Paste the data folder into that location as well. For instance: C:\ArcGIS\Pro\bin\Python\envs\arcgispro-r

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.