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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/8332

Título: Sensor Data Visualization in Virtual Globe
Autor: Pupo, Luis Henrique Rodríguez
Orientador: Fong, Alain Tamayo
Cabral, Pedro
Guijarro, Joaquín Huerta
Palavras-chave: Sensor Web
Sensor Data Visualization
Virtual Globes
Data Analysis
Issue Date: 5-Mar-2012
Relatório da Série N.º: Master of Science in Geospatial Technologies;TGEO0084
Resumo: With the recent developments related with sensors in matters of standardization and accessibility, valuable data covering different geographical subjects have become widely available. The applications that can leverage sensor data are still under development and there is much to do in this subject in the scientific community. Data visualization tools are one of the immediately relevant needs related with sensor data. Such tools would help to increase the understanding and exploration of the data from which many other fields can get benefits. Virtual Globes are becoming increasingly popular in the society. The existence of several implementations and millions of users (scientific and no scientific) around the world are a proof of their increasing usability as a tool for representing and sharing geographical content. In this document we present a generic tool for visualizing sensor data retrieved from SOS servers over the NASA World Wind virtual globe. For this, we started by creating a classification of sensor data that helps in defining possible visualizations for the different types of sensor data. Using this classification as a basis, we have implemented a set of visualization types to ease sensor data exploration. We also included analysis capabilities by integrating the SEXTANTE library in the visualization tool. The results of the analysis can be included in the virtual globe as part of the visualizations.
Descrição: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
URI: http://hdl.handle.net/10362/8332
Appears in Collections:ISEGI - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)

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