A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards
1
School of Geography, University of Nottingham, Nottingham, United Kingdom
2
Nottingham Geospatial Institute, University of Nottingham, Nottingham, United Kingdom
3
School of Biosciences, University of Nottingham, Nottingham, United Kingdom
- Published
- Accepted
- Subject Areas
- Scientific Computing and Simulation, Spatial and Geographic Information Systems
- Keywords
- crop modelling, agriculture models, scientific workflow, genetic-trait, web services, interoperability, geospatial information, GIS, OGC
- Copyright
- © 2016 Santos et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards. PeerJ Preprints 4:e2136v2 https://doi.org/10.7287/peerj.preprints.2136v2
Abstract
We retrace the construction of AgriGIS framework between multiple disciplines around a common objective of facilitating research on model simulations for sustainable food security. The geospatial media enabling multidisciplinary research in crop modelling but also supporting new types of hypothesis and analysis, is described with interoperability principles and seamless access and sharing for data, metadata and processing models. Designing the platform achieving this main objective generated a transdisciplinary vision of modelling and forecasting for sustainable agriculture.
Author Comment
We applied the OGRS format.