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Transforming and combining data: Towards the ESPON Cube

OLAP CUBE. Transforming and combining data: Towards the ESPON Cube. Maria José Ramos Roger Milego Agràs. Alcalá de Henares, 9-10 June 2010. Methodology overview. A “cocktail” of data. MEASURES. MEASURES. -grams -ml. -Area -Population -GDP. OLAP CUBE.

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Transforming and combining data: Towards the ESPON Cube

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  1. OLAP CUBE Transforming and combining data: Towards the ESPON Cube Maria José Ramos Roger Milego Agràs Alcalá de Henares, 9-10 June 2010

  2. Methodology overview A “cocktail” of data MEASURES MEASURES -grams -ml -Area -Population -GDP OLAP CUBE INGREDIENTS DIMENSIONS Sugar Lime Fruit Rhum Ecological Background Corine Land Cover Nuts Maps Daikiri Graphics & Statistics

  3. Methodology overview From ingredient to “cocktail” Weighted by Population Unemployment 2001 (Eurostat) Disaggregation Population Grid 2001 (JRC) Ref. Grid 1km Integration Aggregation CLC 2000 (EEA) Integration OLAP CUBE

  4. Tasting the “cocktail” • Combining data from different times • Combining data from different geometries (e.g. NUTS 2003, NUTS 2006) • Combining continuous data (e.g. CLC) with discrete data (e.g. NUTS3) • Complex combinations (…)

  5. Thank you very much for your attention! For further info: roger.milego@uab.cat mariajose.ramos@uab.cat

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