What is multiple indicator kriging?
What is multiple indicator kriging?
Multiple Indicator Kriging (MIK) is a non-parametric estimation of uncertainty at point scale that makes no explicit assumption about the distribution. This method could be used for complex mineralization, with mixed grade populations that cannot be easily separated in different domains.
What is indicator kriging?
Indicator kriging (IK) is a spatial interpolation technique devised for estimating a conditional cumulative distribution function at an unsampled location. The result is a discrete approximation, and its corresponding estimated probability density function can be viewed as a composition in the simplex.
What are the types of kriging?
The Geostatistical Wizard offers several types of kriging, which are suitable for different types of data and have different underlying assumptions:
- Ordinary Kriging.
- Simple Kriging.
- Universal Kriging.
- Indicator Kriging.
- Probability Kriging.
- Disjunctive Kriging.
- Empirical Bayesian Kriging.
- Areal Interpolation.
What is ordinary kriging?
Ordinary kriging is the most widely used kriging method. It serves to estimate a value at a point of a region for which a variogram is known, using data in the neighborhood of the estimation location. With local second-order stationarity, ordinary kriging implicitly evaluates the mean in a moving neighborhood.
What is kriging in geostatistics?
Specifically, kriging is a geostatistical procedure that fits a surface to three dimensions: the latitude, longitude, and variable of interest (z-values).
What is kriging used for?
Kriging is a geostatistics method that predicts the value in a geographic area given a set of measurements. It’s used in mining, soil, geology, and environmental science.
Is Regression a kriging?
REGRESSION KRIGING Regression-kriging is a spatial interpolation technique that combines a regression of the dependent variable (target variable) on predictors (i.e. the environmental covariates) with kriging of the prediction residuals.
What is the purpose of kriging?
Kriging predicts the value of a function at a given point by computing a weighted average of the known values of the function in the neighborhood of the point. The method is closely related to regression analysis.
What can kriging be used for?
When should kriging be used?
Kriging is most appropriate when you know there is a spatially correlated distance or directional bias in the data. It is often used in soil science and geology.
What is geostatistics in GIS?
Geostatistics is a class of statistics used to analyze and predict the values associated with spatial or spatiotemporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses.
What are the key objectives of Multiple indicator kriging?
The key objectives of multiple indicator kriging are to (1) manage highly variable natural phenomena without cutting high values or nonlinear transformation, and (2) estimate the local distribution at each unsampled location to provide risk-qualified estimates (Journel, 1983).
What is the difference between kriging and regression models?
Even so, they are useful in different frameworks: kriging is made for estimation of a single realization of a random field, while regression models are based on multiple observations of a multivariate data set.
What does kriging interpolation look like?
The kriging interpolation, shown in red, runs along the means of the normally distributed confidence intervals shown in gray. The dashed curve shows a spline that is smooth, but departs significantly from the expected intermediate values given by those means.
Is kriging the best way to predict intermediate values?
Under suitable assumptions on the priors, kriging gives the best linear unbiased prediction of the intermediate values. Interpolating methods based on other criteria such as smoothness (e.g., smoothing spline) need not yield the most likely intermediate values.
