1/31/2024 0 Comments Shatter by feeder free download![]() Select ‘Clone Existing Repository’ and paste the link from your GitHub account into the top box and the local directory that you want to create to store your repo in the bottom box (note, you will need to add a name for a new folder, once you have selected an existing directory, don’t create a new folder in windows explorer you have to specify it in the file path).Īfter a few moments, you should now be able to view a copy of your GitHub repo on your local machine. Now in the windows start menu, go to Git > GUI The first thing you need to do is copy the Clone URL for your repo from the github website - click the green button in your repo for ‘Clone or Download’ and copy the link:.There are a couple of ways of doing this, but the easy one is to use the GUI that comes packaged with your git installation. Now you have created your repo online, you need to ‘clone’ it so that there is an identical copy of it in a local folder on your computer.GitHub is an online repository that allows anyone to view the code you have produced (in whatever language you choose to program in) and use/scrutinise/contribute to/comment on it. Git is a software version control system which allows you to keep track of the code you produce and the changes that you or others make to it. For more information on RMarkdown look here. RMarkdown is a version of the Markdown markup language which enables plain text to be formatted to contain links to data, code to run, text to explain what you a producing and metadata to tell your software what kinds of outputs to generate from your markdown code. RStudio is a graphical user interface (that you should already be familiar with) - it contains a number of features which make it excellent for authoring reproducible and open geographic data science work. As more and more researchers and organisations publish assocaited code with their manusripts or documents it’s very imporant to become adept at using these tools. In this practical you will learn how to produce work that is open, reproducible, shareable and portable using RStudio, RMarkdown, Git and GitHub. 8.11 Events / meet other spatial data professionals.8.7 Task 3 - Spatial Non-stationarity and Geographically Weighted Regression Models (GWR).8.6.6 TASK: Investigating Further - Adding More Explanatory Variables into a multiple regression model.8.6.5 Extending your regression model - Dummy Variables.8.6.1 Dealing with Spatially Autocorrelated Residuals - Spatial Lag and Spatial Error models.8.5.12 Assumption 5 - Independence of Errors.8.5.10 Assumption 3 - No Multicolinearity in the independent variables.8.5.9 Assumption 2 - The residuals in your model should be normally distributed.8.5.8 Assumption 1 - There is a linear relationship between the dependent and independent variables. ![]()
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