Banca de DEFESA: ELIAS NASR NAIM ELIAS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : ELIAS NASR NAIM ELIAS
DATA : 16/02/2019
HORA: 09:00
LOCAL: Programa de pós-graduação em Engenharia Civil
TÍTULO:

QUALITY OF CARTOGRAPHIC DATA ON THE PLATFORM OF COLLABORATIVE MAPPING

PALAVRAS-CHAVES:

Key words: Voluntary Geographic Information, OpenStreetMap, Quality of Cartographic Data, Collaborative Data Heterogeneity

PÁGINAS: 176
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Transportes
RESUMO:

he present dissertation is consisted in the quality of cartographic data in the OpenStreetMap (OSM) collaborative mapping platform. The choice for OSM was given due to the great number of registered contributors who constantly interact with it (abundance of data). We based on the research hypothesis that the collaborative OSM data can be used to complement reference maps, once its quality parameters are determined. This research was divided into two main stages. The first stage is characterized by the use of cartographic quality indicators for positional accuracy, thematic accuracy and completeness. They were used for the validation of vector files coming from OSM. The second stage consists of the verification of that information behavior through statistical dispersion analyses. We’ve also analyzed the image’s characteristic that feed the platform and the scale of edited point and polygon features. The positioning accuracy evaluation was done in three areas of study: The campus of Universidade Federal da Bahia (UFBA), the county of Salvador-BA and the county of Entre Rios-BA. The analyses related to the completeness and thematic accuracy were performed in the county of Salvador-BA. The analysis of the statistical dispersion was made through the tendency and accuracy tests in three different types of applications. Dispersion parameters were established, allowing that comparative analyses could be performed in relation to the sample behavior of the discrepancies obtained in heterogeneity levels. The scale verification that is adequate to the representation of the OSM features was given by analyses related to the types of graphic primitives presented in the same category and by the aspects of a presentation scale in obtaining polygon features in the platform. Concerning the positional accuracy, it was found that the analyses must be performed so that a range of scales is obtained. It must reflect the characteristics of the mapped area and the geometric quality must be related to the image from Bing, which feeds OSM. In the verifications using punctual feature samples, the obtained scale varied from 1:20.000 to 1:30.000 and in linear features it varied from 1:45.000 to 1:50.000. In the verifications concerning the completeness, the features that correspond to many road axes showed better results in relation to the polygon and punctual features. The road axes showed a completeness percentage of 82% in the verified areas. In the polygon and punctual features (educational, health and religion), the completeness percentage varied from 27% to 46%. In the thematic accuracy analyses, it was found that the main source of errors related to the OSM features are characterized by the absence of toponyms in the issues. In the verified road axes this percentage was 58% and in the polygon and punctual features the percentage was 31%. A duplicity of elements in the graphic primitives of points and polygons was found in both the analyses of completeness and thematic accuracy, which were quantified in the county of Salvador-BA with a percentage of 16% of the verified sample. It was concluded that the collaborative data potential to complement the reference cartography is related with the measurement of the heterogeneity of information in different regions, and to the evaluations that filter the OSM data which are indeed necessary for certain analyses.

MEMBROS DA BANCA:
Interno - 2466669 - MAURO JOSE ALIXANDRINI JUNIOR
Interno - 3362965 - PATRICIA LUSTOSA BRITO
Externo à Instituição - SILVANA PHILIPPI CAMBOIM
Presidente - 2494145 - VIVIAN DE OLIVEIRA FERNANDES