Documentos. CDE Universitat de València

CoverThe European Union and the African Union — A statistical portrait — 2019 edition

This ‘statistical portrait’ presents, in roughly 100 pages, a broad comparison between the situation of the European Union, including EFTA members and Candidate Countries, and the African Union and its member states. The publication is jointly produced by Eurostat and the Statistics Division of the African Union Commission. [+]

CoverDemographic statistics for the European Neighbourhood Policy-East countries — 2019 edition

This leaflet presents the freshest data on demographic statistics for the Eastern European countries covered by the European Neighbourhood Policy (ENP-East). The ENP-East countries comprise Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. [+]

CoverBasic figures of the European Neighbourhood Policy-South countries — 2019 edition

This leaflet presents key indicators in the economic and social fields collected in 2018 for the EU's southern partner countries covered by the European Neighbourhood Policy (ENP-South). The ENP-South countries comprise Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Palestine and Tunisia. [+]

CoverBasic figures of the European Neighbourhood Policy-East countries — 2019 edition

This leaflet presents a series of socio-economic key indicators collected in 2018 for the Eastern European countries covered by the European Neighbourhood Policy (ENP-East). The ENP-East countries comprise Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. [+]

CoverBasic figures on the EU — First quarter 2019

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic, social and environmental fields. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of three alternating indicators. The same content is available in a compact printed leaflet. [+]

Web CDEUVCurso Eurostat, conocimiento y uso de estadísticas europeas | Valencia, UV, 5-12 abril 2019

Centre de Documentació Europea de la Fundació General de la Universitat de València
Curso de 10 horas de duración
viernes 5 y 12 de abril de 2019. 9-14 h.

Curso de 10 horas de duración dirigido a profesionales y estudiantes de cualquier disciplina interesados en conocer y utilizar las Estadísticas de la Unión Europea.

[inscripción]

CoverMethodological manual on territorial typologies — 2018 edition

This publication provides a detailed view on the territorial typologies at grid, local and regional (NUTS) level, used by Eurostat particularly for disseminating data aggregated by cities, coastal areas or border regions, for example. It helps data suppliers of subnational statistics to ensure coherency and comparability, and end-users to understand and interpret the wide range of official statistics available at a subnational level for the different areas and regions of the EU. [+]

CoverBasic figures on the EU — Fourth quarter 2018 (revised edition)

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic, social and environmental fields. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of three alternating indicators. The same content is available in a compact printed leaflet. [+]

Jueves, 20 Diciembre 2018 10:00

Manual de análisis espacial

CoverHandbook of Spatial Analysis

This handbook of geospatial statistics — based on a point-based statistical information system — aims at promoting, developing and consolidating the use of specific statistical methods available to NSIs. The handbook has been compiled by INSEE with funding from EUROSTAT. It starts off by describing geolocalised data, measuring the importance of spatial effects as well as taking the spatial effects into account, while closing with advanced techniques for graph portioning and confidentiality. It is expected that the practical examples and their implementation in R will make the statistical production process more efficient. [+]

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