https://github.com/diego-vicente/sdsc-2024-spacetime

All the content for the workshop "Where and When: A Space-Time Analysis of Vehicle Collisions in London"
https://github.com/diego-vicente/sdsc-2024-spacetime

Last synced: about 1 month ago
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All the content for the workshop "Where and When: A Space-Time Analysis of Vehicle Collisions in London"

• Host: GitHub
• URL: https://github.com/diego-vicente/sdsc-2024-spacetime
• Owner: diego-vicente
• Created: 2024-05-06T10:36:44.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-15T11:33:23.000Z (8 months ago)
• Last Synced: 2024-05-16T14:02:25.046Z (7 months ago)
• Homepage: https://spatial-data-science-conference.com/2024/london
• Size: 24.2 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# _Where & When_: A Space-Time Analysis of Vehicle Collisions in London

> Join us to explore a comprehensive use case, analyzing data with CARTO's Analytic Toolbox function through both the Workflows interface and the SQL console. We'll delve into space-time functions, working with geolocated time series data, and extracting insights through methods like space-time Getis-Ord, hotspot analysis, and time series clustering.

This repository contains all the material used in the workshop, organized in different formats for ease of use. Here you can find:

- A [complete transcript](./transcript.md) with supporting material like code, maps or images;

- A folder containing [all of the SQL queries](./sql) used in the workshop and the maps;

- Links to the other relevant materials like [the slides](https://docs.google.com/presentation/d/1FgxZquH9_zdcNDMwSfhbk4bK8FZfoGeUaVtAuykASRQ/preview) used.

## Notes on the code

All the code uses the Google BigQuery project ``sdsc-london-2024.spacetime`` to store the tables and ``sdsc-london-2024.preview_carto`` to store the Analytics Toolbox preview functions. There are some caveats for this:

- It is a public project, so every table mentioned in the code is accesible for any user using the BigQuery console.

- It is read-only, so every time the code attempts to write a table in it, will fail. Please edit the code with a project and dataset that you are allowed to write to.

- All of those tables do exist, so you can explore the output of each query without the need of actually running it.