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dund.edu/bbcswebdav/pid-2576350-dt-content-rid-63960895.1/courses/UNDO1-1910-PTR

ID: 154177 • Letter: D

Question

dund.edu/bbcswebdav/pid-2576350-dt-content-rid-63960895.1/courses/UNDO1-1910-PTR Work Visa Canad... . Internship Opport.... 9780750677332....EJ's Neat-O Stat Instructor: Nejma Djabelkhir a-Theoretical Questions: deadline Thursday 1s Oct 1- What is the fundamental concept of geology (and in fact most things in nature) that makes Geostatistical modeling work? 2- What are the 2 basic pieces of information that can be derived from a variogram? 3- How many directions are variograms typically calculated in and what are they called? and a model variogram and why do we create a model variogram? significance? 4- What is the difference between a sample (experimental) variogram 5- What are the 3 main variogram parameters and what are their 6- What are the main variogram types and what is the significance of their different shapes? 7- What is a variogram map and what does it tell us? 3d

Explanation / Answer

1. The Rock cycle is one of the fundamental concept of geology that describes the dynamic transitions through geologic time among the three main types of rocks sedimentary Metamorphic and igneous each of the types of Rock altered and destroyed when it is forced out of its equilibrium condition. Geo statics is used for mining operations and it is the branch of statics focusing on partial or spatiopartial temporal data sets.

2. a. variograms are the processes that are intrinsic but not second order stationery.

b. It increases without bound as the lag distance increases.

3. Variograms values can be calculated by the estimation software for any separation distance in any orientation the three directions are called the major ,semi majorand minor.

4. the sampling variogram is the same vario gram and that shows when a significant degree of spatial dependence in the sample space of Sampling unit dissipates into randomness whereas the model variogram ellipsoid widget and is automatically added to the scene and it help us to visualise the vario gram in 3D. Model variogram can be created by the imperical semivariogram, you can fit a model to the points of forming the empirical model variogram. The modelling of a model variogram is similar to fitting a least square line in a regression analysis.