- Title
- Demo-economic clusters
- License
- AC_Limited usage license (AC_limited)
-
+ The information or the document is freely available and can be accessed from the website www.atlas.alpconv.org or, if available, through the dedicated WMS function.
+ The rights on the raw data or the datasets belong to the original authors (check the field “Supplemental information”): it is therefore not allowed to re-use, download, share, re-distribute, transform or change the original datasets or information without prior permission.
+ Where available, it is allowed to use, share, distribute, transform or change the output of the WMS request that serves the layer in a bitmap format, e.g. PNG, GIF or JPEG, as well as to download, share and distribute a static image of the layers, obtained through the dedicated functions, provided that appropriate credit is given to the data provider (Permanent Secretariat of the Alpine Convention-PSAC) and to the authors/sources (these can be generally found in the metadata under "additional information"). Additionally, it must be indicated if changes were made with respect to the original work. When the work or one of its derivatives is used in a publication, appropriate notice must be given to research@alpconv.org .
+ It is moreover allowed to, use, share, distribute and re-post the full metadata, which are also available as a free download in a TXT or HTML format, giving appropriate credit to the author.
+ For more info see http://www.atlas.alpconv.org/terms/. - Abstract
Considering the most relevant demographic, economic and social variables, the principal components were analysed and a cluster analysis was applied as well, for a more detailed assessment and a better classification of the diverse situation of the Alps with respect to the specific values in each territorial unit.
Focusing our attention on groups of municipalities, we can analyse the Alpine area from a local viewpoint. Based on the results of the cluster analysis, six groups of municipalities were selected having peculiar characteristics when compared to the general average.
On the map, the six groups of LAU 2 units have been represented with different colours.- Publication Date
- Jan. 1, 2017, 9:24 a.m.
- Type
- Vector Data
- Keywords
- RSA5
- Category
- Economy
- economic activities, conditions and employment. Examples: production, labour, revenue, commerce, industry, tourism and ecotourism, forestry, fisheries, commercial or subsistence hunting, exploration and exploitation of resources such as minerals, oil and gas
- Regions
- Alps
- Responsible
- AlpineConvention
- Group
- PSAC - Permanent Secretariat Alpine Convention
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- Some limitations apply to the access or use of the data
- Purpose
This map is published within the 6th Report on the state of the Alps (RSA6).
- Language
- English
- Supplemental Information
Author: Elisa Ravazzoli, Institute for regional development and location management, EURAC.
Sources:
- Statistical Data: National Statistical Offices; Terrain: USGS (2006); Administrative boundaries: ©EuroGeographics, 2009;
National border: ESRI;
Year data: Data from Austria, Italy, Germany, Liechtenstein, Switzerland and Slovenia refer to 2012 or 2013; Data from France refer to 2010 Census Data.The layer can be accessed through WMS services at http://www.atlas.alpconv.org/geoserver/ows?service=wms&version=1.3.0&request=GetCapabilities
- Spatial Representation Type
- vector data is used to represent geographic data
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