@InProceedings{JorgeRossBaceSant:2017:ToAnGe,
author = "Jorge, Aurelienne A. S. and Rossato, Marcio and Bacelar, Roberta
B. and Santos, Leonardo B. L.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Via Vale
Sistemas} and {Faculdade Anhanguera} and {Centro Nacional de
Monitoramento e Alerta de Desastre Naturais (CEMADEN)}",
title = "GIS4Graph: a tool for analyzing (geo)graphs applied to study
efficiency in a street network",
booktitle = "Anais...",
year = "2017",
editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
pages = "246--251",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Geographic networks are everywhere, as rivers, power grids and
street networks. Computational and mathematical tools for
traditional analysis of graphs and recent studies on complex
networks have been incorporating the geographic component. This
article presents a general tool, in development process, for
visualizing geographic networks: the GIS4Graph tool. An
application is presented in the analysis of efficiency in a street
network, based on the straightness centrality index. The case
study is done using the OpenStreetMap data from the city of
Lorena/SP. The results are showed visually in a map or graph,
highlighting the main streets that contribute to the citys
efficiency in terms of straight displacement.",
conference-location = "Salvador",
conference-year = "04-06 dez. 2017",
issn = "2179-4820",
language = "pt",
ibi = "8JMKD3MGPDW34P/3Q5DUE5",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DUE5",
targetfile = "32jorge_santos.pdf",
urlaccessdate = "27 abr. 2024"
}