%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.14.09
%2 sid.inpe.br/marte2/2017/10.27.14.09.03
%@isbn 978-85-17-00088-1
%F 59815
%T Utilizaçăo de SIG para análise de roteirizaçăo aplicada a aplicativos lúdicos de realidade aumenta: rotas para Pokémon GO no bairro de Jaguaribe, município de Joăo Pessoa - PB
%D 2017
%A Candeia, Bruna Araújo,
%A Pimentel, Leonardo Crispim,
%A Silva, Nathália de Oliveira,
%A Monteiro, Jordy Jonathan,
%A Valdevino, Diego da Silva,
%@electronicmailaddress candeiiabruna@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragăo, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J Săo José dos Campos
%P 5377-5383
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Nowadays electronic games that use augmented reality and geolocation are increasingly common, as in the case of Pokémon GO latest game of Nintendo, which aims to capture Pokémon walking in the real world. To start the hunt, the trainer has at his disposal 100 Pokéballs, which will be used throughout his journey, and in case the trainer does not buy more Pokéballs in the online store, it will be necessary to resort to PokéStop, or else the user will not have more chances to continue playing. PokéStops are stop points, distributed throughout the region where the trainer is located, where he can get Pokéballs, portions and other accessories that help him hunting. But just as it is necessary to move around to find the Pokémon, it is necessary to move around to find the PokéStops. Therefore, the present paper aims to put into practice the use of geotechnologies, developing a Geographic Information System application to carry out network analysis, that is, analysis of interconnected segments, with the objective of verifying the best route or the shortest route to access the PokéStops. For the development of this GIS application, was used the software ArcMap 10.2, which allowed the manipulation of shapefiles of street axis, neighborhood boundary of PokéStops, all referring to the Jaguaribe neighborhood in the city of Joăo Pessoa. Also, the Network Analyst extension was used, responsible for calculating the best routes. As results of the research were generated calculations of the best route path to the PokéStops.
%9 Mapeamento
%@language pt
%3 59815.pdf