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Python in Lightning Detection Network Data Analysis (CROSBI ID 660454)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Sarajcev, Petar ; Matijasevic, Hrvoje Python in Lightning Detection Network Data Analysis // Proceedings of the 7th International Lightning Meteorology Conference / Holle, Ronald S. ; Said, R. (ur.). Louisville (KY): Vaisala Inc., 2018

Podaci o odgovornosti

Sarajcev, Petar ; Matijasevic, Hrvoje

engleski

Python in Lightning Detection Network Data Analysis

This paper describes usage of several third-party Python (programming language) libraries, which could be seen as very useful for easy and efficient manipulation and analysis of data produced by the lightning detection networks (LDNs). Python is a high level interpreted language with extensive library of third-party packages and APIs. Several of its libraries, popular within the data science community, could be seen as very useful for efficient analysis of data produced by LDNs, such as: geographical and probability density distribution of lightning strikes, lightning flash-cell identification, its movement tracking, and nowcasting.

lightning ; LDN ; machine learning ; Python ; data analysis ; clustering ; nowcasting

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Podaci o prilogu

13

2018.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 7th International Lightning Meteorology Conference

Holle, Ronald S. ; Said, R.

Louisville (KY): Vaisala Inc.

Podaci o skupu

25th International Lightning Detection Conference ; 7th International Lightning Meteorology Conference

poster

12.03.2018-15.03.2018

Fort Lauderdale (FL), Sjedinjene Američke Države

Povezanost rada

Elektrotehnika