f56eb439-5bd9-4111-990b-820a94ad9092 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 A two-dimensional interpolation function for irregularly-spaced data 1968-01-01 creation 1968-01-01 publication revision MICA WP3 2017-09-25T10:33:00 Record extracted from Batch 2 spreadsheet MICA_B2-98 https://www.mica-project.eu/ No additional information provided about the dataset This is a peer reviewed publication looking at methods of data interpretation relevant to geochemical datasets. in many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface. These irregularly spaced locations, hence referred to as "data points," may have diverse meanings: in meterology, weather observation stations; in geography, surveyed locations; in city and regional planning, centers of data-collection zones; in biology, observation locations. It is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point. In order to display these data in some type of contour map or perspective view, to compare them with data for the same region based on other data points, or to analyze them for extremes, gradients, or other purposes, it is extremely useful, if not essential, to define a continuous function fitting the given values exactly. Interpolated values over a fine grid may then be evaluated. In using such a function it is assumed that the original data are without error, or that compensation for error will be made after interpolation. In essence, an operational solution to the problem of two-dimensional interpolation from irregularly-spaced data points is desired. It is assumed that a finite number N of triplets (xi, Yi, gi) are given, where xi, Yi are the locational coordinates of the data point D;, and zi is the corresponding data value. Data point locations may not be coincident. An interpolation function z=f(x,y) to assign a value to any location P(x,y) in the plane is sought. This two-dimensional interpolation function is to be "smooth" (continuous and once differentiable), to pass through the specified points, (i.e., f(xi,Yi)=Zi), and to meet the user's intuitive expectations about the phenomenon under investigation. Furthermore, the function should be suitable for computer application at reasonable cost Website: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.154.6880&rep=rep1&type=pdf Purpose for data generation is not known Harvard University Contact for the resource described by the metadata Cambridge MA 02138 USA http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.154.6880&rep=rep1&type=pdf WWW:LINK-1.0-http--link http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.154.6880&rep=rep1&type=pdf Link for further information on the resource Party that supplies the resource https://resources.bgs.ac.uk/images/minerals/micaGraphic/B2/MICA_B2-98.JPG MICA dataCentre Historic (includes data up to or including 2005) 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 Detailed geochemistry MICA ontology (DomainScheme) 2 Geostatistical estimates MICA ontology (DomainScheme) 2 Regional geochemistry MICA ontology (DomainScheme) 2 Available for free for all purposes Not confidential English geoscientificInformation economy Geographical coverage not applicable Other group of countries (please provide more details) 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.)? true 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