%0 Conference Proceedings
%4 sid.inpe.br/mtc-m18/2012/12.04.13.06
%2 sid.inpe.br/mtc-m18/2012/12.04.13.06.57
%@issn 2179-4820
%T Estatística de varredura unidimensional para detecção de conglomerados de acidentes de trânsito em arruamentos
%D 2012
%A Costa, Marcelo Azevedo,
%A Prates, Marcos Oliveira,
%A Santos, Marcos Antônio da Cunha,
%@affiliation Universidade Federal de Minas Gerais (UFMG)
%@affiliation Universidade Federal de Minas Gerais (UFMG)
%@affiliation Universidade Federal de Minas Gerais (UFMG)
%E Namikawa, Laércio Massaru,
%E Bogorny, Vania,
%B Simpósio Brasileiro de Geoinformática, 13 (GEOINFO).
%C Campos do Jordão
%8 25-27 nov. 2012
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 30-35
%S Anais
%X This paper presents a new approach for cluster detection of spatial point patterns which are restricted to street networks. The proposed method is an extension of the temporal scan statistic which is applied to spatial line segments. Geographical coordinates of points are initially mapped into a one dimension geographical structure, which is the geo-coded line of the street of interest. In this dimension, the events are identified by their relative distances to a point of origin. A one-dimensional varying scanning window identifies portions of the street where the incidence rate of car accidents is higher than the expected. Statistical inference is obtained using Monte Carlo simulations. The methodology was implemented in the R software and provides a friendly graphical user interfaces. The software provides online interface with Google maps.
%9 Agents / Spatial Analysis - Short papers
%@language pt
%3 costa.pdf