'Ordinary kriging' presentation slideshows

Recharge on Non-irrigated Land

Recharge on Non-irrigated Land . Mike McVay 06/24/2010. Our Process for Estimating Recharge .

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Geo479/579: Geostatistics Ch17. Cokriging

Geo479/579: Geostatistics Ch17. Cokriging. Introduction. Data sets often contain more than one variable of interest These variables are usually spatially cross-correlated. The Cokriging System.

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Geo479/579: Geostatistics Ch12. Ordinary Kriging (1)

Geo479/579: Geostatistics Ch12. Ordinary Kriging (1). Ordinary Kriging. Objective of the Ordinary Kriging (OK) B est: minimize the variance of the errors L inear: weighted linear combinations of the data U nbiased: mean error equals to zero E stimation. Ordinary Kriging.

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Geo479/579: Geostatistics Ch12. Ordinary Kriging (2)

Geo479/579: Geostatistics Ch12. Ordinary Kriging (2). Ordinary Kriging and Model of Spatial Continuity. Weights of ordinary kriging and the resulting minimized error variance directly depend on the choice of a covariance (variogram) for the C and D matrices

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Chapter Outline 13.1 Introduction Box 13.1 A Survey of Spatial Interpolation among GIS Packages

Chapter Outline 13.1 Introduction Box 13.1 A Survey of Spatial Interpolation among GIS Packages 13.2 Elements of Spatial Interpolation 13.2.1 Control Points 13.2.2 Type of Spatial Interpolation 13.3 Global Methods 13.3.1 Trend Surface Analysis

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Chapter Outline 13.1 Introduction Box 13.1 A Survey of Spatial Interpolation among GIS Packages

Chapter Outline 13.1 Introduction Box 13.1 A Survey of Spatial Interpolation among GIS Packages 13.2 Elements of Spatial Interpolation 13.2.1 Control Points 13.2.2 Type of Spatial Interpolation 13.3 Global Methods 13.3.1 Trend Surface Analysis

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by: tarun gill

Interpolation and evaluation of probable Maximum Precipitation (PMP) patterns using different methods. by: tarun gill. objectives. To convert vector based PMP to raster based PMP using different interpolation methods. Finding the accuracy of all the methods used.

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Geo479/579: Geostatistics Ch15. Cross Validation

Geo479/579: Geostatistics Ch15. Cross Validation. Why is Cross Validation Useful?. Cross validation (CV) allows us to compare estimated and true values using only the information available in the sample data set

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Spatial statistics

Spatial statistics. What is spatial statistics? Refers to a very broad collection of methods and techniques of visualization, exploration and analysis applied to data with spatial stucture. Spatiotemporal-when time is involved Why is it useful? A lot of data contain geographic information

441 views • 6 slides