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gabrielspadon merged 1 commit into from
Jul 3, 2026
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Retarget org URLs and metadata: AISViz -> MAPS Lab #2

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2 changes: 1 addition & 1 deletion 0-quick-start.ipynb
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Expand Up @@ -478,7 +478,7 @@
"\n",
"This walkthrough touched every stage of the AISdb pipeline once. Each stage has a focused\n",
"tutorial that goes deeper, and the numbered notebooks in the\n",
"[AISViz Tutorials repository](https://github.com/AISViz/Tutorials) follow the same order:\n",
"[AISViz Tutorials repository](https://github.com/MAPS-Lab/AISdb-Tutorials) follow the same order:\n",
"database loading, querying, cleaning, visualization, interpolation, calculations, using\n",
"your own AIS data, CSV export, and bathymetric enrichment.\n",
"\n",
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2 changes: 1 addition & 1 deletion LICENSE
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Expand Up @@ -630,7 +630,7 @@ state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.

<one line to give the program's name and a brief idea of what it does.>
Copyright (C) 2024-2026 AISViz, Dalhousie University
Copyright (C) 2024-2026 MAPS Lab, Dalhousie University

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
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10 changes: 5 additions & 5 deletions README.md
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@@ -1,6 +1,6 @@
# Tutorials

Hands-on Jupyter notebook companions to the [AISViz GitBook tutorials](https://aisviz.gitbook.io/tutorials/). Each notebook is a runnable walkthrough of one part of the [AISdb](https://github.com/AISViz/AISdb) workflow, from decoding raw AIS messages into a database through querying, cleaning, interpolation, calculations, visualization, and export. The notebooks run against a bundled sample database, so no external data downloads are needed to follow along.
Hands-on Jupyter notebook companions to the [AISViz GitBook tutorials](https://aisviz.gitbook.io/tutorials/). Each notebook is a runnable walkthrough of one part of the [AISdb](https://github.com/MAPS-Lab/AISdb) workflow, from decoding raw AIS messages into a database through querying, cleaning, interpolation, calculations, visualization, and export. The notebooks run against a bundled sample database, so no external data downloads are needed to follow along.

## Notebooks

Expand All @@ -25,7 +25,7 @@ Install AISdb and Jupyter, then launch from a clone of this repository so the no

```bash
pip install aisdb jupyter
git clone git@github.com:AISViz/Tutorials.git
git clone git@github.com:MAPS-Lab/AISdb-Tutorials.git
cd Tutorials
jupyter lab
Comment on lines +28 to 30
```
Expand All @@ -46,9 +46,9 @@ Continuous integration validates that every notebook parses as nbformat 4 and ca

## Related projects

- [AISdb](https://github.com/AISViz/AISdb), the core Python/Rust platform for storing, querying, and analyzing AIS data
- [AISdb-lite](https://github.com/AISViz/AISdb-lite), a lightweight AISdb variant built on PostGIS and TimescaleDB hypertables
- [NOAA-Integrator](https://github.com/AISViz/NOAA-Integrator), an acquisition pipeline from NOAA Marine Cadastre into AISdb-aligned databases
- [AISdb](https://github.com/MAPS-Lab/AISdb), the core Python/Rust platform for storing, querying, and analyzing AIS data
- [AISdb-lite](https://github.com/MAPS-Lab/AISdb-lite), a lightweight AISdb variant built on PostGIS and TimescaleDB hypertables
- [NOAA-Integrator](https://github.com/MAPS-Lab/AISdb-NOAA-Integrator), an acquisition pipeline from NOAA Marine Cadastre into AISdb-aligned databases

## License

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