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A comparison between cokriging and ordinary kriging: Case study with a polymetallic deposit

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-94-009-3699-7_18openalex-snapshot
Co-Kriging — New Developments
inferredcites →https://doi.org/10.1007/bf01032107openalex-snapshot
An application of cokriging for estimation of tripartite earthquake response spectra
inferredcites →https://doi.org/10.1007/bf01032592openalex-snapshot
The effect of drift on the experimental semivariogram
inferredcites →https://doi.org/10.1007/bf01032887openalex-snapshot
Matrix formulation of co-kriging
inferredcites →https://doi.org/10.1007/bf01036071openalex-snapshot
Estimation using spatially distributed multivariate data: An example with coal quality
inferredcites →https://doi.org/10.1007/bf01036241openalex-snapshot
Problems with universal kriging
inferredcites →https://doi.org/10.1007/bf01093416openalex-snapshot
Estimation of linear combinations and co-kriging
inferredcites →https://doi.org/10.1007/bf01886329openalex-snapshot
Analysis of nonintrinsic spatial variability by residual kriging with application to regional groundwater levels
inferredcites →https://doi.org/10.1007/bf02066294openalex-snapshot
Statistical treatment of outlier data in epithermal gold deposit reserve estimation
inferredcites →https://doi.org/10.1007/bf02068776openalex-snapshot
Pseudo-cross variograms, positive-definiteness, and cokriging
inferredcites →https://doi.org/10.1007/bf02082532openalex-snapshot
Cokriging nonstationary data
inferredcites →https://doi.org/10.1016/0098-3004(85)90002-0openalex-snapshot
Cokriging—a computer program
inferredcites →https://doi.org/10.1016/0098-3004(91)90028-copenalex-snapshot
Cokriging with matlab
inferredcites →https://doi.org/10.1016/0098-3004(92)90094-8openalex-snapshot
A FORTRAN program for three-dimensional cokriging with case demonstration
inferredcites →https://doi.org/10.1016/c2013-0-06161-0openalex-snapshot
Cluster Analysis for Applications
inferredcites →https://doi.org/10.1080/00401706.1991.10484886openalex-snapshot
An Introduction to Applied Geostatistics
inferredcites →https://doi.org/10.2307/2290613openalex-snapshot
An Introduction to Applied Geostatistics.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9780470316993.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1002/9781118136188.refsopenalex-snapshot
References
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Remote Sensing and Geographic Information System: A Tool for Precision Farming
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On a controversial method for modeling a coregionalization
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A comparison of search strategies to design the cokriging neighborhood for predicting coregionalized variables
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Investigation of climate-quality relationship in bread wheat (T. aestivum L.) by novel statistical approach (ESOGÜ quality index)
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Ore Grade Prediction Using a Genetic Algorithm and Clustering Based Ensemble Neural Network Model
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Evaluation of Tailings from a Porphyry Copper Mine based on Joint Simulation of Contaminants
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Reducing Uncertainty in Mineralization Boundary by Optimally Locating Additional Drill Holes Through Particle Swarm Optimization
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Assessment of Recoverable Resource Uncertainty in Multivariate Deposits Through a Simple Machine Learning Technique Trained Using Geostatistical Simulations
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Identification of potential causes of nitrate pollution in three apulian aquifers (Southern Italy)
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Comment on “A FORTRAN program for three-dimensional cokriging with case demonstration”
inferred← citeshttps://doi.org/10.1016/0098-3004(93)90073-eopenalex-snapshot
Author's reply
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.06.001openalex-snapshot
Cokriging random fields with means related by known linear combinations
inferred← citeshttps://doi.org/10.1016/j.enggeo.2012.11.002openalex-snapshot
Influence of estimation method of compression index on spatial distribution of consolidation settlement in Songdo New City
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Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field
inferred← citeshttps://doi.org/10.1016/j.geoderma.2014.02.014openalex-snapshot
Introducing minimum spatial cross-correlation kriging as a new estimation method of heavy metal contents in soils
inferred← citeshttps://doi.org/10.1016/j.gsd.2024.101186openalex-snapshot
Spatial modeling of the water table and its historical variations in Northeastern Italy via a geostatistical approach
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Integrating petrophysical uncertainty in salinity estimation from ERT and well data using indicator kriging
inferred← citeshttps://doi.org/10.1016/s0034-4257(02)00056-1openalex-snapshot
Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height
inferred← citeshttps://doi.org/10.1017/cbo9780511545993openalex-snapshot
Applied Mineral Inventory Estimation
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.002openalex-snapshot
MINERAL INVENTORY: AN OVERVIEW
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.003openalex-snapshot
GEOLOGIC CONTROL OF MINERAL INVENTORY ESTIMATION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.004openalex-snapshot
CONTINUITY
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.005openalex-snapshot
STATISTICAL CONCEPTS IN MINERAL INVENTORY ESTIMATION: AN OVERVIEW
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.006openalex-snapshot
DATA AND DATA QUALITY
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.007openalex-snapshot
EXPLORATORY DATA EVALUATION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.008openalex-snapshot
OUTLIERS
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.009openalex-snapshot
AN INTRODUCTION TO GEOSTATISTICS
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.010openalex-snapshot
SPATIAL (STRUCTURAL) ANALYSIS: AN INTRODUCTION TO SEMIVARIOGRAMS
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.011openalex-snapshot
KRIGING
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.012openalex-snapshot
GLOBAL RESOURCE ESTIMATION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.013openalex-snapshot
GRADE-TONNAGE CURVES
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.014openalex-snapshot
LOCAL ESTIMATION OF RESOURCES/RESERVES
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.015openalex-snapshot
AN INTRODUCTION TO CONDITIONAL SIMULATION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.016openalex-snapshot
BULK DENSITY
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.017openalex-snapshot
TOWARD QUANTIFYING DILUTION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.018openalex-snapshot
ESTIMATES AND REALITY
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.019openalex-snapshot
RESOURCE/RESERVE CLASSIFICATION
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.020openalex-snapshot
DECISIONS FROM ALTERNATIVE SCENARIOS: METAL ACCOUNTING
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.021openalex-snapshot
British and International Measurement Systems: Conversion Factors
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.022openalex-snapshot
U.S. Standard Sieves
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.023openalex-snapshot
Drill Hole and Core Diameters
inferred← citeshttps://doi.org/10.1017/cbo9780511545993.024openalex-snapshot
Bibliography
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Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference
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Multivariate simulation through minimum/maximum autocorrelation factors versus sequential Gaussian co-simulation: A case study on geochemical data from soil
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Exploration to grade control: Quantifying information gain and spatial uncertainty in a structurally controlled gold deposit
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Estimation of Ag and Cu grades using Au assay data through statistical and geostatistical approaches for three-dimensional grade modelling
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Near real-time interpolative algorithm for modelling air quality in underground mines
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Assessment of Ore Grade Estimation Methods for Structurally Controlled Vein Deposits - A Review
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