Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data
- Published
- Accepted
- Subject Areas
- Computational Biology, Spatial and Geographic Information Systems
- Keywords
- Crop Science, Landscape Genetics, Data Integration, Bambara groundnut, GIScience
- 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. Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data. PeerJ Preprints 4:e2248v1 https://doi.org/10.7287/peerj.preprints.2248v1
Abstract
Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is usually benefitted from this practice, reuniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. In this work, we discuss the challenges of associating localisation with other data types, particularly genetic data, in a project involving Crop Science and Geospatial Information Science disciplines that aim to improve the understanding of how geographical, environmental and anthropocentric factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.
Author Comment
This is an article intended for the OGRS2016 Collection - session Open computational landscape genetics