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.
8.22 Events / meet other spatial data professionals. 8.19 Remote sensing background (optional). 8.12 Urban area and temperature relationship. 
8.11 Calucating urban area from Landsat data.8.10.1 Calculating tempearture from Landsat data.8.5.1 Remote sensing background (required).7.7 Task 3 - Spatial Non-stationarity and Geographically Weighted Regression Models (GWR).
7.6.6 TASK: Investigating Further - Adding More Explanatory Variables into a multiple regression model. 7.6.5 Extending your regression model - Dummy Variables. 
7.6.1 Dealing with Spatially Autocorrelated Residuals - Spatial Lag and Spatial Error models. 7.5.10 Assumption 5 - Independence of Errors. 7.5.8 Assumption 3 - No Multicolinearity in the independent variables. 7.5.7 Assumption 2 - The residuals in your model should be normally distributed. 7.5.6 Assumption 1 - There is a linear relationship between the dependent and independent variables. 7.5.5 Assumptions Underpinning Linear Regression. 7.5 Analysing GCSE exam performance - testing a research hypothesis. 6.9 Analysing Spatial Autocorrelation with Moran’s I, LISA and friends. 6.7 Density-based spatial clustering of applications with noise: DBSCAN. 4.5.6 If have have an existing project - way 3. 4.5.5 Create a new version control in RStudio - way 2. 1.4 The Basics of Geographic Information. How to download data and files from GitHub.
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