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Geostatistics
Results: 1612

#	Item
831	Cokriging Partial Grades - Application to Block Modeling of Copper Deposits Serge Séguret1, Julio Beniscelli2 and Pablo Carrasco2 Abstract This work concerns mineral deposits made of geological bodies such as breccias o Add to Reading List Source URL: www.cg.ensmp.fr Language: English - Date: 2013-11-22 04:46:40 Variogram Statistics Geostatistics Kriging
832	GEOMETRIC MODELING OF A BRECCIA PIPE – COMPARING FIVE APPROACHES (36th APCOM, November 4-8, 2013, Brazil) Serge Antoine Séguret; Research Engineer in Geostatistics; Ecole des Mines; Center of Geosciences and Geoengine Add to Reading List Source URL: www.cg.ensmp.fr Language: English - Date: 2013-11-22 08:51:03 Variogram Conditioning Pipe Degrees of freedom Interpolation Statistics Geostatistics Kriging
833	Near Real-Time Geo-Analyses for Emergency Support: An Radiation Safety Exercise Guenther Sagl, Michael Lippautz, Bernd Resch, Manfred Mittlboeck Studio iSPACE, Research Studios Austria INTRODUCTION Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2011-03-31 12:27:48 Cartography Geostatistics Interpolation Sensors Sensor web Open Geospatial Consortium Kriging Wireless sensor network Spatial analysis Statistics Geographic information systems Science
834	HYDROLOGICAL PROCESSES Hydrol. Process. 25, 217– [removed]Published online 1 September 2010 in Wiley Online Library (wileyonlinelibrary.com) DOI: [removed]hyp[removed]Geostatistics for assessing the efficiency of a dist Add to Reading List Source URL: www.cg.ensmp.fr Language: English - Date: 2011-02-22 04:29:34 Variogram Kriging Nitrate Time series Magnesium in biology Statistics Geostatistics Chemistry
835	Microsoft Word - Table-of-Content-AGILE-Short-papers&postersAvecPage.docx Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2012-08-06 05:18:42 Spatial data analysis Uncertainty Variogram Multidimensional scaling Indicators of spatial association Cluster analysis Risk Statistics Geostatistics Multivariate statistics
836	In Proc. SIAM Int. Conf. on Data Mining (SDM), Minneapolis, MN, 2007 Robust, Complete, and Eﬃcient Correlation Clustering∗ Elke Achtert, Christian B¨ohm, Hans-Peter Kriegel, Peer Kr¨oger, Arthur Zimek Department I Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-06-14 08:04:28 Data analysis Data mining Geostatistics DBSCAN Correlation clustering Principal component analysis K-means clustering Correlation and dependence Clustering high-dimensional data Statistics Multivariate statistics Cluster analysis
837	A method for the detection and description of changes of clusters in snapshots of a vector field Eva Nuhn Geoinformatics Research Group (AGIS), University of the Bundeswehr Munich, D[removed]Neubiberg, [removed] Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2011-03-31 09:24:08 Cluster analysis Data analysis Data mining Geostatistics Machine learning Computer cluster Single-linkage clustering Vector field Vector space Algebra Mathematics Statistics
838	Cluster Generation in Fracture Modelling Cluster generation is a powerful tool to assess preferential trends in measured and modelled fracture orientation data; however, meaningful cluster generation requires a good geol Add to Reading List Source URL: www.mve.com Language: English - Date: 2014-09-25 10:08:25 Data analysis Data mining Geostatistics Computer cluster Cluster chemistry Transpression Statistics Computing Cluster analysis
839	Spatial analyses and spatial data quality Václav Talhofer1, Alois Hofmann1, Šárka Hošková – Mayerová1, Petr Kubíček2 1 University of Defence, Faculty of Military Technology, Kounicova 65, [removed]Brno, Czech Rep Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2011-03-31 10:07:04 Geographic information systems Cartography Geostatistics Spatial analysis Spatial data infrastructure GeoDA Spatial database Geodatabase Analysis Statistics Spatial data analysis Geography
840	Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust[removed]in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-02 08:30:12 Data mining Geostatistics Hierarchical clustering Single-linkage clustering Correlation clustering DBSCAN OPTICS algorithm Biclustering Consensus clustering Statistics Cluster analysis Machine learning

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