Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/14549
Título: Analysis of panoramio photo tags in order to extract land use information
Autor: Šećerov, Milan
Orientador: Painho, Marco Octávio Trindade
Estima, Jacinto
Castelyen, Sven
Palavras-chave: User Generated Geographic Content
Geographic Information Systems
Data Mining
Predictive Modeling
Panoramio
Tags
Land use
Land cover
Data de Defesa: 27-Fev-2015
Resumo: In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.
URI: http://hdl.handle.net/10362/14549
Designação: Master of Science in Geospatial Technologies - TGEO
Aparece nas colecções:NIMS - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)

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