![]() An image can be downloaded and used to create a local container, allowing end-users to get software up and running quickly. A selection of pre-installed software in Docker is called an image. You are now ready for the workshop! Option B: Dockerĭocker provides developers with a means for creating interactive containers that contain pre-installed software. Type the following into the console and hit enter. Open RStudio by double-clicking the RStudio application icon. To install these packages in RStudio, do the following:ġ. The following R packages are used in the various geospatial lessons. In order to address issues with ggplot2, learners and instructors should run a recent version of RStudio (v1.2 or greater). You will need the free Desktop version for your computer. RStudio is a GUI for using R that is available for Windows, macOS, and various Linux operating systems. Instructions for a number of different Linux operating systems are available. To install R, Linux users should select “Download R for Linux” from RStudio and CRAN’s cloud download page, which will automatically detect a CRAN mirror for you to use. pkg file containing the necessary components of base R can be downloaded by clicking on the first available link (this will be the most recent), which will read R-3.x.x.pkg. To install R, macOS users should select “Download R for (Mac) OS X” from RStudio and CRAN’s cloud download page, which will automatically detect a CRAN mirror for you to use. exe executable file containing the necessary components of base R can be downloaded by clicking on “Download R 3.x.x for Windows”. Select the base subdirectory after choosing the Windows download page. To install R, Windows users should select “Download R for Windows” from RStudio and CRAN’s cloud download page, which will automatically detect a CRAN mirror for you to use. Participants who do not already have R installed should download and install it. $ sudo apt-get install -y libudunits2-dev macOS - Install with Homebrew (Advanced)Īlternatively, participants who are comfortable with the command line can install the geospatial libraries individually using homebrew: You can enable the installation by following these instructions for installing programs from unidentified developers. ![]() Depending on your security settings, you may get an error message about “unidentified developers”. Be aware that several other libraries are also installed, including the UnixImageIO, SQLite3, and NumPy.Īfter downloading the package in the link above, you will need to double-click the cardbord box icon to complete the installation. The simplest way to install these geospatial libraries is to install the latest version of Kyng Chaos’s pre-built package for GDAL Complete. To install the geospatial libraries, install the latest version RTools macOS - Install with Packages (Beginner) These are all dependencies for sf, the R package that we will be using for spatial data operations throughout this workshop. The installation of the geospatial libraries GDAL, GEOS, and PROJ.4 varies significantly based on operating system. If an installation doesn’t work for you, please refer to the installation instructions for that software listed in the table above. As there are different operating systems and many different versions of operating systems and environments, these may not work on your computer. At points, they assume familiarity with the command line and with installation in general. We provide quick instructions below for installing the various software needed for this workshop. Software environment for statistical and scientific computing Geospatial model for reading and writing a variety of formatsĬoordinate reference system transformations Option A: Local Installation Software Software To expand this file, double click the folder icon in your file navigator application (for Macs, this is the Finderįor a full description of the data used in this workshop see the data page. The file is 218.2 MB.Ĭlicking the download link will automatically download all of the files to your default download directory as a single compressed ![]() You can download all of the data used in this workshop by clicking We provide instructions below to either install all components manually (option A), or to use a Docker image that provides all the software and dependencies needed (option B). Then, you need to set up your machine to analyze and process geospatial data. First, you will need to download the data we use in the workshop. This workshop is designed to be run on your local machine. Geospatial Workshop Overview: Setup Overview
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |