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Home Artificial Intelligence

Analyze Twister Knowledge with Python and GeoPandas | by Lee Vaughan | Jan, 2025

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January 28, 2025
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QUICK SUCCESS DATA SCIENCE

Insights from NOAA’s public area database

Lee Vaughan

Towards Data Science

A map of the contiguous United States showing tornado touchdown locations as red dots. State and county boundaries are outlined in blue and light gray, providing geographic context. The red dots are scattered unevenly, with higher concentrations in areas known as Tornado Alley, including parts of Texas, Oklahoma, Kansas, and Nebraska.
Reported tornadoes with an assigned EF magnitude from 1950–2023 (by the creator)

If you happen to’re fascinated with finding out tornadoes, the Nationwide Oceanic and Atmospheric Administration (NOAA) has a beautiful public-domain database to make your day. Extending again to 1950, it covers twister beginning and ending places, magnitudes, accidents, fatalities, monetary prices, and extra.

The information is accessible by NOAA’s Storm Prediction Middle. Along with the uncooked knowledge, this website provides many charts and maps that slice and cube the information in a number of methods. Considered one of my favourite maps is the 20-year common of extreme climate watches. It makes it seem like Oklahoma’s borders are largely primarily based on dangerous climate!

A colorful map of the contiguous United States shows counties colored by annual severe weather watches. The largest number of watches is colored yellow; the minimum number is white to light blue. State and county boundaries are outlined in black and light gray, providing geographic context. The yellow counties are concentrated in Oklahoma and seem to follow its state boundary.
Oklahoma (circled) experiences greater than its share of dangerous climate (NOAA)

These prefab maps are helpful, however they will’t tackle each scenario. There might be occasions when it is advisable to make customized maps, both to reply a selected query or to include exterior knowledge.

On this Fast Success Knowledge Science undertaking, we’ll use Python, pygris, GeoPandas, Plotly Specific, and a part of NOAA’s intensive database to map twister occurrences, graph their…

Tags: AnalyzeDataGeoPandasJanLeePythonTornadoVaughan

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