Module 6: Data

Icône de l'outil pédagogique Authors

Erling Andersen and Berien Elbersen

Icône de l'outil pédagogique Which data is needed in SEAMLESS?

The diversity of models used in the integrated modelling of SEAMLESS, the inclusion of both quantitative and qualitative indicators and the hierarchical farm system typology result in a very complex demand for data. The data have to provide information on the biophysical, social, economic and institutional aspects of a system. Furthermore, the data need to be organised to support modelling and assessments at different spatial scales.

Icône de l'outil pédagogique Data integration

To provide the necessary data the challenge is to bring together existing datasets that have been generated for very different purposes and with very different methods. For example, data on agriculture have been generated with the purpose of monitoring the agricultural sector mainly from an economic point of view. On the other hand, data have been gathered on environmental issues mainly to provide information on the state of the environment and linked to assessment of environmental issues. In addition to this, economic and socio-economic data are usually linked to administrative regions, whereas environmental data often are linked to discrete spatial units. In the knowledge base of SEAMLESS the different data sets are adapted and linked to a common spatial framework enabling linkages between the different data sources.

One example that can illustrate the challenge is the link between data on farming and data on the environment. Statistical data on farming is linked to regions, whereas environmental data is linked to grid cells. In order to link the two data sets it is therefore needed to disaggregate the data on farming, to aggregate the environmental data, and to link them at a common regional entity that is meaningful from the perspective of both data sets. This is a challenging task but crucial to enable farm type modelling in an environmental context.


Icône de l'outil pédagogique Main data collected in SEAMLESS

The key data included in the database of SEAMLESS are:

  • the farm typology used to structure the statistical data on farm resources
  • the agri-environmental typology used as a spatial framework combining biophysical characteristics and administrative borders and enabling the linking of farm information to environmental regions
  • additional farm management information collected in a project and linked to farm types of the SEAMLESS farm typology
  • global data for the global market model component of SEAMLESS.
  • the regional typologies provided as context for assessments in SEAMLESS.

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