This is a GitHub page containing some data sets and Jupyter notebooks used in the workshop CARTO for Spatial Data Science (https://carto.com/) at The Bartlett Centre for Advanced Spatial Analysis - UCL (London).

In the notebooks directory, you can find the following Jupyter notebooks:

• notebooks/Visualizing_spatial_data.ipynb - A good place to start. It shows how to easily visualize data on a map using CARTOframes.

• notebooks/Spatial_dependence.ipynb - A Jupyter notebook for exploring spatial dependence in your data and for visualizing the results using CARTOframes.

• notebooks/Discrete_spatial_models.ipynb - A Jupyter notebook to run some examples of spatial models for discrete processes and for visualizing the results using CARTOframes.

• notebooks/Continous_spatial_models.ipynb - A Jupyter notebook to run some examples of spatial models for continuous processes and for visualizing the results using CARTOframes.

• notebooks/Optimization_TSP.ipynb - A Jupyter notebook to solve the Travelling salesman optimization problem and for visualizing the results using CARTOframes.

• notebooks/Connect_to_DB.ipynb - A Jupyter notebook showing how to upload, download, query and visualize data on a map using CARTOframes.

The notebooks/data directory contains data, which are needed to run the examples.

The notebooks/src_import directory contains some helper functions.

• Python. Follow instructions here: https://www.anaconda.com/distribution/ If you want to set up a virtual environment here is how you can do it: https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/.

• R. Follow instructions here: https://cran.r-project.org/?source=post_page-----917519326e41----------------------

• Jupyter notebooks. Follow instructions here: https://jupyter.readthedocs.io/en/latest/install.html?source=post_page-----917519326e41----------------------

• R kernel for Jupyter. Follow the instructions here: https://medium.com/@kyleake/how-to-install-r-in-jupyter-with-irkernel-in-3-steps-917519326e41 or if you have a MAC here: https://www.r-bloggers.com/how-to-install-r-kernel-for-jupyter-on-mac-os-x/.

• All python packages in the notebooks/requirements.txt file. To install them, open your terminal and run pip install -r requirements.txt.

Finally, the demos/ directory contains the html versions of the jupyter notebooks discussed during the session.

Good luck!