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

admin by admin
January 29, 2025
in Artificial Intelligence
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Analyze Twister Information with Python and GeoPandas | by Lee Vaughan | Jan, 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 writer)

When you’re considering finding out tornadoes, the Nationwide Oceanic and Atmospheric Administration (NOAA) has an exquisite 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 means of NOAA’s Storm Prediction Heart. Along with the uncooked knowledge, this web site provides many charts and maps that slice and cube the info in a number of methods. One among 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 deal with each state of affairs. There will probably be instances when it’s essential to make customized maps, both to reply a particular query or to include outdoors knowledge.

On this Fast Success Information Science challenge, 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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