The GEOBASI (Geochemical Database of Tuscany) open source tools
- Published
- Accepted
- Subject Areas
- Databases, Graphics, Spatial and Geographic Information Systems, World Wide Web and Web Science
- Keywords
- Geochemical Data, Database, Statistical analysis, OGC Web Services, Open Source, Geographical Information System, Geostatistics, diagrams, open data, spatial statistics
- Copyright
- © 2016 Corongiu 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. The GEOBASI (Geochemical Database of Tuscany) open source tools. PeerJ Preprints 4:e2283v1 https://doi.org/10.7287/peerj.preprints.2283v1
Abstract
The tools implemented for the new Regional Geochemical Database, called GEOBASI, are hereafter presented. The database has permitted the construction of a repository where the geochemical information (compositional and isotopic) has been stored in a structured way so that it can be available for different groups of users (e.g. institutional, public and private companies). The information contained in the database can in fact be downloaded freely and queried to correlate geochemistry to other non compositional variables. The repository has been aimed at promoting the use of the geochemical data already available from previous investigations through a powerful Web-GIS interface. The resulting graphical-numerical tools in such a complex database have been developed to: 1) analyse the spatial variability of the investigated context, 2) highlight the geographic location of data pertaining to classes of values or single cases, 3) compare the results of different analytical methodologies applied to the determination of the same element and/or chemical species, 4) extract the geochemical data related to specific monitoring plans and/or geographical areas, and finally 5) recover information about data below the detection limit to understand their impact on the behaviour of the investigated variable.
Author Comment
This is an article intended for the OGRS2016 Collection - Spatial Statistics