A Tessellation-Based Methodology for an Interactive Analysis of the Arctic Ice Dynamic Phenomenon with Spatial Online Analytical Processing
| Autor: | M. Fortin, Suzie Larrivée, Tania Roy, Sonia Rivest, Yvan Bédard |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Tessellation (computer graphics)
Information retrieval business.industry Online analytical processing 0211 other engineering and technologies Context (language use) 02 engineering and technology Interactive analysis The arctic Geography 0202 electrical engineering electronic engineering information engineering Lake ice 020201 artificial intelligence & image processing Artificial intelligence business 021101 geological & geomatics engineering Earth-Surface Processes |
| Zdroj: | Cartographica: The International Journal for Geographic Information and Geovisualization. 51:263-279 |
| ISSN: | 1911-9925 0317-7173 |
| DOI: | 10.3138/cart.51.4.3497 |
| Popis: | A tessellation-based methodology for interactively analyzing the spatio-temporal evolution of a dynamic phenomenon – ice coverage and its characteristics – using a spatial online analytical processing (OLAP) approach is proposed. The feasibility of the method was tested through a prototype developed in the context of the CanICE project using Canadian Ice Service data and the Egg Code, an international standard for characterizing sea and lake ice. By transforming the standard spatial OLAP vector-based point of view – aggregating data from instances of evolving features – into a tessellation-based point of view – aggregating data from constant spaces with evolving properties – the proposed solution makes it possible to meet the criteria of interactive multidimensional analysis for dynamic phenomena. The second innovative aspect of the methodology relates to the management of data quality with a spatial OLAP approach. Resume: Cet article propose une methodologie basee sur la reduction en mosaique (ou tessellation) pour effectuer une analyse spatiotemporelle d’un phenomene dynamique – la couverture de glace et ses caracteristiques – incorporee a une approche SOLAP (spatial online analytical processing). Nous avons teste cette methode dans le cadre du projet CanICE a l’aide d’un prototype qui s’appuie sur des donnees du Service canadien des glaces et sur le code de l’œuf, une norme internationale de description des glaces. Ainsi, la transformation de l’approche SOLAP standard – basee sur les vecteurs – en une approche basee sur la reduction en mosaique permet l’analyse multidimensionnelle d’un phenomene dynamique. Un autre aspect innovant de notre methodologie repose sur la gestion de la qualite des donnees avec une approche SOLAP. |
| Databáze: | OpenAIRE |
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