Big Data for Territorial Analysis and Housing Dynamics (Q4300546): Difference between revisions
Jump to navigation
Jump to search
(Changed an Item: Edited by the materialized bot - inferring region from the coordinates) |
(Changed an Item: Edited by the materialized bot - inferring region from the coordinates) |
||
| Property / contained in NUTS | |||
| Property / contained in NUTS: Vaucluse / rank | |||
Normal rank | |||
Revision as of 12:43, 17 June 2022
Project Q4300546 in Switzerland, France, Spain, Poland, Norway
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Big Data for Territorial Analysis and Housing Dynamics |
Project Q4300546 in Switzerland, France, Spain, Poland, Norway |
Statements
61,327.8 Euro
0 references
75,000.0 Euro
0 references
81.77 percent
0 references
13 July 2018
0 references
10 December 2019
0 references
Universite Paris Diderot
0 references
43°56'56.90"N, 4°49'4.66"E
0 references
40°26'28.43"N, 3°41'15.04"W
0 references
59°39'57.82"N, 10°47'33.22"E
0 references
51°46'23.02"N, 19°28'52.82"E
0 references
48°49'36.91"N, 2°22'59.30"E
0 references
46°59'55.14"N, 6°56'30.77"E
0 references
The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today’s rapidly-evolving global economic and social landscape. The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion. Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis. Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest. The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities. (English)
0 references