@InProceedings{CamposCummPint:2015:AlIdGr,
author = "Campos, Leandro Zanella de Souza and Cummins, Kenneth L. and Pinto
Junior, Osmar",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An algorithm for identifying ground strike points from return
stroke data provided by Lightning Location Systems",
booktitle = "Proceedings...",
year = "2015",
organization = "Asia-Pacific International Conference on Lightning, 9.",
keywords = "Lightning Location System, Atmospheric Electricity.",
abstract = "A new algorithm, provisionally named groupGCP, developed aiming at
grouping individual return strokes detected by Lightning Location
Systems (LLS) into ground strike points (GCP), is presented. The
criteria for grouping decision and determination of centroid
(ground strike point) positions are based on the k-means
clustering method. However, the exact metric to be considered for
both criteria can be changed by the user, allowing the use of
error ellipse scaling equations instead of Euclidean distances
when location error information is available. Additionally, the
algorithm was created in such a way that it is capable of
determining the number of strike points (k value) numerically
according to a maximum distance also defined by the user
(depending on the location accuracy of the LLS).",
conference-location = "Nagoya",
conference-year = "2015",
label = "lattes: 4161737266837399 1 CamposCummPint:2015:AlIdGr",
language = "en",
urlaccessdate = "20 maio 2024"
}