88c72939-5920-4fca-a3de-89489bcc1eec English MD_CharacterSetCode_utf8 Individual item (e.g. a one-off academic paper or single website) British Geological Survey Contact for the metadata enquiries@bgs.ac.uk pointOfContact 2024-11-07 ISO19115 2003/Cor.1:2006 The single component geochemical map 2016-03-01 creation 2016-03-01 publication revision MICA WP3 2018-11-03T15:16:00 Record extracted from Batch 3 spreadsheet MICA_B3-200 https://www.mica-project.eu/ No other citation details provided Single component geochemical maps are the most basic representation of spatial elemental distributions and commonly used in environmental and exploration geochemistry. However, This is a peer reviewed article in the Journal of Geochemical Exploration. the compositional nature of geochemical data imposes several limitations on how the data should be presented. The problems relate to the constant sum problem (closure), and the inherently multivariate relative information conveyed by compositional data. Well known is, for instance, the tendency of all heavy metals to show lower values in soils with significant contributions of diluting elements (e.g., the quartz dilution effect); or the contrary effect, apparent enrichment in many elements due to removal of potassium during weathering. The validity of classical single component maps is thus investigated, and reasonable alternatives that honour the compositional character of geochemical concentrations are presented. The first recommended such method relies on knowledge-driven log-ratios, chosen to highlight certain geochemical relations or to filter known artefacts (e.g. dilution with SiO2 or volatiles). This is similar to the classical normalisation approach to a single element. The second approach uses the (so called) log-contrasts, that employ suitable statistical methods (such as classification techniques, regression analysis, principal component analysis, and clustering of variables) to extract potentially interesting geochemical summaries. The caution from this work is that if a compositional approach is not used, it becomes difficult to guarantee that any identified pattern, trend or anomaly is not an artefact of the constant sum constraint. In summary the authors recommend a chain of enquiry that involves searching for the appropriate statistical method that can answer the required geological or geochemical question whilst maintaining the integrity of the compositional nature of the data. The required log-ratio transformations should be applied followed by the chosen statistical method. Interpreting the results may require a closer working relationship between statisticians, data analysts and geochemists. Website: http://www.sciencedirect.com/science/article/pii/S0375674215301047 Purpose for data generation is not known School of Geography, Archaeology and Palaeoecology, Queen's University Contact for the resource described by the metadata Belfast BT7 1NN UK http://www.sciencedirect.com/science/article/pii/S0375674215301047 WWW:LINK-1.0-http--link http://www.sciencedirect.com/science/article/pii/S0375674215301047 Link for further information on the resource Party that supplies the resource https://resources.bgs.ac.uk/images/minerals/micaGraphic/B3/MICA_B3-200.JPG MICA dataCentre Mixture of historic (up to 2005) and recent (2006 onwards) MICA ontology (TemporalScheme) 2 General descriptive information / Paper MICA ontology (DataScheme) 2 Requirement for data generation: Voluntary Method of data or information generation: Academic research Exploration GEMET Concepts 2014-07-25 revision 2 Geochemical GEMET Concepts 2014-07-25 revision 2 Gold INSPIRE commodities Silver INSPIRE commodities Platinum INSPIRE commodities Palladium INSPIRE commodities Other platinum group metals (iridium) INSPIRE commodities Other platinum group metals (osmium) INSPIRE commodities Other platinum group metals (rhodium) INSPIRE commodities Other platinum group metals (ruthenium) INSPIRE commodities Aluminium INSPIRE commodities Copper INSPIRE commodities Lead INSPIRE commodities Tin INSPIRE commodities Zinc INSPIRE commodities Chromium INSPIRE commodities Cobalt INSPIRE commodities Iron INSPIRE commodities Manganese INSPIRE commodities Molybdenum INSPIRE commodities Nickel INSPIRE commodities Niobium INSPIRE commodities Tungsten INSPIRE commodities Vanadium INSPIRE commodities Antimony INSPIRE commodities Beryllium INSPIRE commodities Bismuth INSPIRE commodities Cadmium INSPIRE commodities Cesium INSPIRE commodities Gallium INSPIRE commodities Germanium INSPIRE commodities Hafnium INSPIRE commodities Indium INSPIRE commodities Lithium INSPIRE commodities Magnesium INSPIRE commodities Mercury INSPIRE commodities Rare earths (undifferentiated) INSPIRE commodities Rhenium INSPIRE commodities Rubidium INSPIRE commodities Selenium INSPIRE commodities Tantalum INSPIRE commodities Tellurium INSPIRE commodities Titanium INSPIRE commodities Zirconium INSPIRE commodities Detailed geochemistry MICA ontology (DomainScheme) 2 Regional geochemistry MICA ontology (DomainScheme) 2 Available for free for all purposes Not confidential English geoscientificInformation economy Europe - EU28 members only (aggregated total only) Individual item (e.g. a one-off academic paper or single website) Data uncertainty Are any uncertainty measures provided (e.g. standard errors, confidence intervals, etc.)? false Quality assurance procedures Are quality assurance procedures described? true Information generation methods Are data or information generation methods formally described? true Record review Reviewed by: British Geological Survey Record validation false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Organisation source implies that information should be of good quality Metadata is distributed with a CC BY-ND 4.0 (Attribution-NoDerivs 4.0 International) licence