Pregled bibliografske jedinice broj: 932239
Python in Lightning Detection Network Data Analysis
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. 13, 6 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 932239 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Python in Lightning Detection Network Data Analysis
Autori
Sarajcev, Petar ; Matijasevic, Hrvoje
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 7th International Lightning Meteorology Conference
/ Holle, Ronald S. ; Said, R. - Louisville (KY) : Vaisala Inc., 2018
Skup
25th International Lightning Detection Conference ; 7th International Lightning Meteorology Conference
Mjesto i datum
Fort Lauderdale (FL), Sjedinjene Američke Države, 12.03.2018. - 15.03.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
lightning ; LDN ; machine learning ; Python ; data analysis ; clustering ; nowcasting
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Petar Sarajčev
(autor)