Buch, Englisch, Band 6, 499 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1048 g
An International Forum in Honour of Michel David¿s Contribution to Geostatistics, Montreal, 1993
Buch, Englisch, Band 6, 499 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1048 g
Reihe: Quantitative Geology and Geostatistics
ISBN: 978-0-7923-2650-2
Verlag: Springer Netherlands
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geologie Geophysik
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Luftreinhaltung
- Naturwissenschaften Physik Angewandte Physik Geophysik
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
- Geowissenschaften Umweltwissenschaften Angewandte Ökologie
- Geowissenschaften Geologie Hydrologie, Hydrogeologie
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Geowissenschaften Geologie Geologie
- Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik
- Geowissenschaften Geologie Geotechnik
- Geowissenschaften Geologie GIS, Geoinformatik
Weitere Infos & Material
Estimating or Choosing a Geostatistical Model?.- Comment on “Estimating or Choosing a Geostatistical Model? ” by O. Dubrule.- Reply to “Comment on Estimating or Choosing a Geostatistical Model? ” by M.S. Handcock.- Comparison of CoIK, IK, mIK Performances for Modeling Conditional Probabilities of Categorical Variables.- Modeling Uncertainty: Some Conceptual Thoughts.- Comment on “Modeling Uncertainty: Some Conceptual Thoughts ” by A.G. Journel.- The Role of Massive Grade Data Bases in Geostatistical Applications in South African Gold Mines.- Multiple Indicator Kriging of Precious Metals at Silbak Premier Mine, British Columbia.- Mineral Inventory of a Gold-Bearing Skarn, the Nickel Plate Mine Hedley, British Columbia.- Joint Temporal-Spatial Modeling of Concentrations of Hazardous Pollutants in Urban Air.- Spatiotemporal Modelling: Covariances and Ordinary Kriging Systems.- Geostatistics and Data Integration.- Modelling in the Presence of Skewed Distributions.- Comment on “Modelling in the Presence of Skewed Distributions” by C. Lemmer.- Reply to “Comment on Modelling in the Presence of Skewed Distributions ”by R.M. Srivastava.- Exploration of the “Nugget Effect”.- Comments on F. Pitard’s “Exploration of the Nugget Effect”.- A Fractal Correlation Function for Sampling Problems.- Image Compression and Kriging.- Comments on “Image Compression and Kriging”.- Reply to “Comments on Image Compression and Kriging” by P. Delfiner.- The use of Neural Networks for Spatial Simulation.- Joint Conditional Simulations and Flow Modeling.- The Method of Projection onto Convex Sets for the Reconstruction of Subsurface Property Maps.- Conditional Simulation and the Value of Information.- Comment on “Conditional Simulation and the Value ofInformation ” by A.R. Solow and S.J. Ratick.- Fractals, Multifractals, and Change of Support.- Change of Scale in Random Media.- Direct Conditional Simulation of Block Grades.- Change of Support and Transformations.- Estimating Recoverable Reserves: Is it Hopeless?.- An Annealing Procedure for Honouring Change of Support Statistics in Conditional Simulation.- The Need for a Connectivity Index in Mining Geostatistics.- Is Research in Mining Geostats as Dead as a Dodo?.- Comments on “Is Research in Mining Geostats as Dead as a Dodo? ” by M. Armstrong.- Testing for Bias Between Drilling Campaigns.- Improved Sampling Control and Data Gathering for Improved Mineral Inventories and Production Control.- Improving Predictions by Studying Reality.- Cleopatra’s Nose and the Diagrammatic Approach to Flow Modelling in Random Porous Media.- Geostatistical Analysis of Water Saturation in Heterogeneous Unsaturated Media Under Capillary-Gravity Equilibrium.- Additive Logratio Estimation of Regionalized Compositional Data: An Application to Calculation of Oil Reserves.- Regionalization of some Hydrogeological Processes and Parameters by Means of Geo statistical Methods - Current Status and Requirements.- Combining Geophisical Data with Geological Prior Knowledge in a Geostatistical Framework: The Example of Cross-Well Tomographic Inversion.- Conditional fBm Simulation with Dual Kriging.- Algorithmically - Defined Random Function Models.- Measuring the Uncertainty in Kriging.- “Fuzzy” Geostatistics - An Integration of Qualitative Description into Spatial Analysis.- Robust Bayes Linear Prediction of Regionalized Variables.- A Fractal-Multifractal Approach to Geostatistics.- Probability Kriging of Sub-Seismic Fault Throws with Multifractal Distributions.