Safe Harbor

With the rise of California sea temperatures rising, where would the animals? Utilizing 20 years of data, Safe Harbor utilizes a decision tree in order to predict where marine life travel

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Inspiration

Taking a look at the coastal scene, what breathes life into it are the creature which live in it, and they are being highly affected by the climate change and the increase in water temperature. This as a result has major impacts to both humans and animals. By being able to predict where the temperature changes lead the species, we can adapt to help mitigate the effects of irregular migration.

What it does

Takes seas surface temperature (SST) and animals sighting coordinates, in order to create a relation, allowing the water temperature predictions to them help predict the migration of the affected species.

How we built it

Using Marimo notebook and Scripps datasets, we reduced our data to San Diego only. Then bootstrapped our temperature data to create enough so that a relationship could be created between the creature location and temperature. This line of regression made is then used to predict the location according to the temperature of the water.

Challenges we ran into

Reducing the data size into a usable amount, given the large datasets. Then cleaning it to have the right data which corresponds to San Diego. Delving into new coding methods, functions, and imports, all of which are unknown to us before this. Creating proper visualizations and clean UI to display the results of our code.

Accomplishments that we're proud of

Being able to use the datasets given, adapting to the theme while utilizing new aspects of Python in a manner such that the project was completed.

What we learned

Time management is key, gauging an endeavor according to the allotted time. The skill of learning to handle new tools and apply them to the current project.

What's next for Safe Harbor

Upscaling our model in order to better adapt to the constant changing effects of climate change. Additionally the inclusion of more variables to train our model on, both utilizing depth of water and different species, Safe Harbor will be able to wave through any potential concerns that may arise.

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