Infrastructures de données spatiales Évaluations économiques : : concepts, méthodes et retours d'expérience / / Hélène Rey-Valette [and three others].

• VerfasserIn: Rey-Valette, Hélène,
• Place / Publishing House: Versailles : : Quae,, 2022.
• Year of Publication: 2022
• Language: French
• Physical Description: 1 online resource (123 pages)

Ce guide présente les concepts et méthodes opérationnelles pouvant être mobilisés pour évaluer les effets et la valeur des infrastructures des données spatiales (IDS) d'un point de vue socio-économique. Il s'adresse à l'ensemble des acteurs concernés souhaitant appréhender la diversité des rôles des IDS, avec les effets et les évolutions générées par l'usage des informations spatiales.

The demands and uses of satellite spatial data are developing and diversifying significantly, in line with the precision, frequency of shooting and size of the images. It is therefore necessary to understand and report on the impact of this growing production on the organisation and rationalisation of the structures that use them, but also on the effectiveness and transparency of public policies that use this information. Spatial data infrastructures (SDIs) are essential devices: they facilitate access to images (acquisition, processing, archiving), as well as the processes of sharing and methodological innovation. They constitute public information goods and mobilise increasing resources, which requires us to question the types of "economic models" to which they belong. This guide, which is both educational and operational, is intended for all those involved in the production or use of spatial information. It allows for an à la carte reading according to centres of interest and disciplines, through multiple boxes and examples. It presents the concepts and methods of economic evaluation applied to spatial information, detailing three types of approach depending on whether one wants to estimate the value of spatial information, measure the economic spin-offs of an SDI or characterise its impacts using multi-criteria approaches.