ESPON CARTOGRAPHIC LANGUAGE (ECL)

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Presentation transcript:

ESPON CARTOGRAPHIC LANGUAGE (ECL) Vilnius ESPON Seminar 2013 ESPON CARTOGRAPHIC LANGUAGE (ECL) UMS Riate Christine Zanin Nicolas Lambert Isabelle Salmon Timothée Giraud Paule-Annick Davoine Hélène Mathian Cécile Saint-Marc

Develop a modernised cartographic language for ESPON Aim of the project Develop a modernised cartographic language for ESPON …to reach the interest and to be understood by policy makers involved in territorial policies What is a cartographic language ? It’s a graphic method which uses the properties of the visual image to show differences, order and proportionality between geographical data.

Two steps : Diagnosis and Recommendations Overview of map productions in Europe (ESPON, outside ESPON, web atlases and interactive maps) Review and analysis of the current cartographic language Recommendations to enhance information with maps (static and dynamic cartography) Mapping guide Computing technologies and interactive maps Proposals for a modernized ESPON graphic style

All deliveries are available on the ESPON intranet since December 2nd

644 ESPON figures = 908 illustrations (Maps and graphics) Methodology 644 ESPON figures = 908 illustrations (Maps and graphics) 1- ESPON Corpus 2007-2013 *Final Reports on projects from priorities P1 (12 reports, 256 figures); P2 (16 reports, 158 figures) and P3 (2 reports, 19 figures) *Specific publications (214 figures) : Synthesis Report, Scientific report, Territorial Observations, Maps of the month, ESPON Atlas 2006, Scenario 3.2 (2006)

- number of elements making up the map, - format, - orientation, 8 criteria descriptive of the composition of maps : - number of elements making up the map, - format, - orientation, - presence of a legend, - spatial Units, - the spatial cover - map symbolization - qualitative appreciation

761 maps Map kit utilisé avec des emprises variées. Emprise : La grande majorité des cartes sont à l’échelle européenne, (ESPON narrow =sans la Turquie et wide = avec la Turquie)

80% of espon maps are designed with a nuts delineation (mainly nuts2 and nuts 3) The local level isn’t often used (32 out of 761 maps = 4%)

Typology of ESPON maps characteristics * two complementary multivariate statistical analysis methods to the set of the 524 ESPON maps, described by 17 characteristics. * similarities and differences between maps in the sample * 2 main clusters of maps (type A and B), which can be further divided into 7 more detailed subtypes.

Type A: ESPON CORE POLITICAL MAPS Type A.1: Analytical indicator at NUTS2 level : Type A.2: Typology combining several indicators at NUTS2 level: A set of criteria describing Type A.3: Analytical indicator or typologies at NUTS3 or NUTS2-3 levels Type B: ESPON STRATEGIC EXPLORATORY MAPS Type B.1: Extended regional analysis: Type B.2: Cities and regional size effects: Type B.3: Zoom-in, grids and networks: Type B.4: Zoom-out and long term trends. This

Evidences 80% of the ESPON maps are designed on NUTS nomenclature 87% of figures are composed of a unique map 79% of ESPON maps use a unique semiotic representation 68 % are choropleth maps 81% of maps are images constructed on European scale among which 55% use the restricted scale of the ESPON Space

Strengths and Weaknesses Strong visual identity ; No major mistakes in the use of graphic semiology; Transfer of the data to the map generally well managed; Data correctly identified  BUT Maps require better contextualisation and better legends; Little originality, with a lot of elementary productions and too much standardisation (blue lines, base maps, colours, title, legend, orientation, sources....); Marked homogeneity among maps; Layout is never designed in relation with the map message.

Next steps …. In Greece : toward modernized cartographic language for ESPON The mapping guide explains how to enhance geographical data How to transform and intergrate in a map, data available in the ESPON data platform How to innovate with static and dynamic cartography in order to display the correct espon message to stakeholders. Greehouse gas emission = we took some allready designed maps from

Application of the recommendations in the guide to ESPON maps : 1 example

Thank you for your attention Maps bring statistics to life ! For more information : christine.zanin@univ-paris-diderot.fr nicolas.lambert@ums-riate.fr Maps bring statistics to life ! (R. Brunet, 1987)