The source code of SEAM:GUI, consisting of the SEAMSERVER and SEAMCLIENT modules that together make up SEAMLESS-IF has been placed in the open source code repository of the SEAMLESS Association. You can download the latest version from the tags folder. All components will be made available in this folder using a "-" naming convention. For example "seamserver-1.3.0". The modules of SEAM:GUI are available as Eclipse projects and ready to be compiled and used. Please see the included README.txt file for the latest contents of the modules, and the license.txt file for legal information.

For easy download you can use a subversion client. Subversion is a source code repository, on which source code can easily be updated by developers. After downloading a subversion client (for example tortoiseSVN, or the subclipse plugin for Eclipse), you can link the subversion client to the source code repository, and download all source code to your local file system. For a more detailed how-to description see the documentation of the subversion client.

The source code of the SEAMFRAME library (part of SEAMLESS-IF) has been placed in the open source code repository of the SEAMLESS Association. You can download the latest version from the tags folder. All components will be made available in this folder using a "-" naming convention. For example "seamframe-1.2.1". The SEAMFRAME library is available as Eclipse project and ready to be compiled and used. Please see the included README.txt file for the latest contents of the library, and the license.txt file for legal information.

For easy download you can use a subversion client. Subversion is a source code repository, on which source code can easily be updated by developers. After downloading a subversion client (for example tortoiseSVN, or the subclipse plugin for Eclipse), you can link the subversion client to the source code repository, and download all source code to your local file system. For a more detailed how-to description see the documentation of the subversion client.

The 11 SEAMLESS ontology files are available online, so they can be linked to online in new ontologies. These ontology files can be found on http://www.seamless-if.org/ontologies/. The SEAMLESS ontologies capture the following content:

- Crop.owl contains concepts related to crops, crop products and grouping of crops, which is used in many models concerning the agricultural domain.
- Farm.owl contains concepts on farms and the regions, soils and climate in which these farms are found.
- Prodent.owl contains concepts related to rotations and choices in production made by farmers (production enterprise).
- Activity.owl gives an overview of the different types of activities (e.g. arable, livestock, and perennial) farmers can choose on their farms.
+ Livestock.owl specifies the livestock activities as described in the activity.owl in more detail.
+ Agrirule.owl specifies the arable activities as described in the activity.owl in more detail.
- Capri.owl provides concepts of relevance to the CAPRI model (Heckelei and Britz, 2001).
- Farmopt.owl provides concepts related to farm economics and optimization of farm income.
- Indi.owl contains concepts relevant to indicators and the use of indicators in integrated assessment (Turpin et al., these Proceedings).
- Seamproj.owl contains concepts to describe scenarios and integrated assessment problems.
- Pica.owl describes concepts for the analysis of institutional compatibility assessments.

For APES, the Agricultural Production and Externalities Simulator, check on:http://www.apesimulator.it/

Dominguez, I-P.; Bezlepkina, I.; Heckelei, T.; Romstad, E.; Oude Lansink, A.G.J.; Kanellopoulos, A. (2009)
Capturing market impacts of farm level policies: a statistical extrapolation approach using biophysical characteristics and farm resources Environmental Science and Policy 12 (5). - p. 588 - 600.

Abtract:
Technical change at the farm level or changes in input prices often have an impact on the firm’s supply function, which in turn affect their economic and environmental performance. These changes can take place in numerous ways. This paper presents a methodology that increases the consistency of supply responses across various sets of agricultural products and most representative farm typologies in Europe, with a marketmodel based on a statistical response function approach. Since most farm simulation models are limited to a subset of regions and farm types, the linkage to an aggregated model requires a procedure for expanding these results to non-sample regions to achieve full regional coverage. This paper addresses theoretical aspects related to the consistency between micro and market level models. The proposed approach is applied using a consistent set of simulation results from farm models in seven European regions. Our results show a fairly stable behaviour of the farm models considered for the analysis and quite good fit of the estimated response surface. As results are still preliminary we critically reflect on the applicability of this method in addressing further needs on up-scaling of other economic as well as environmental indicators.