VGI users & data centered methods for the analysis of farmland biodiversity indicators: A participative SOLAP approach for opportunistic data
Informations
- Funding country
France- Acronym
- VGI4Bio
- URL
- -
- Start date
- 1/1/2017
- End date
- -
- Budget
- 431,913 EUR
Fundings
| Name | Role | Start | End | Amount |
|---|---|---|---|---|
| AAPG - Generic call for proposals [Appel à projets générique] 2017 | Grant | 1/1/2017 | - | 431,913 EUR |
Abstract
The conservation of biodiversity and its link with agriculture currently represents a major challenge. Observation data may be needed at large spatial or temporal scales to encompass a wide range of situations in order to achieve meaningful results. This implies that thousands of observers need to be mobilized, at a cost which would be prohibitive if they had to be paid. Therefore in this project we will define a set of statistical tools and observers’ behaviour modelling to extract and visualize accurate and relevant data from opportunistic data (VGI data), in order to produce meaningful farmland biodiversity indicators. Moreover, since VGI systems do not provide advanced analysis tools, in this project we will use Spatial OLAP to analyse those farmland biodiversity indicators. Since final users are different and numerous, in this project we will define a new group decision-making SOLAP design methodology to implement Spatial OLAP models for farmland biodiversity indicators