Geostatistical Analyst - An Introduction

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2013 Esri International User Conference July 8–12, 2013 | San Diego, California Technical Workshop

Geostatistical Analyst An Introduction Steve Lynch and Eric Krause Redlands, CA

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Presentations of interest… •

EBK – Robust kriging as a GP tool -



Surface Interpolation in ArcGIS -



Wednesday 5:30pm – 6:00pm Demo theater

Geostatistical Simulations - Applications in Worst Case Scenarios -



Wednesday 4:30pm – 5:30pm Demo theater

Areal Interpolation – Performing polygon-to-polygon predictions -



Wednesday 10:00am – 10:30am Demo theater

Thursday 11:00am – 11:30am Demo theater

Designing and Updating a Monitoring Network -

Thursday 11:30am – 12:00pm Demo theater





Concepts and Applications of Kriging -

Tuesday 10:15am – 11:30am (room 04)

-

Wednesday 3:15pm – 4:30pm (room 04)

Creating Surfaces -

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Wednesday 8:30am – 9:45am (Room 03)



Geostatistical Analyst - An Introduction



Tuesday 8:30am – 9:45am (room 05 A)



Wednesday 1:30pm – 2:45pm (room 05 A)

Outline

• What is • geostatistics? • Geostatistical Analyst? • New in 10+ • Interpolation workflow • Demonstrations • Supplementary information • Questions / Answers

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What is geostatistics ?

The statistics of spatially correlated data

Semivariogram Sill

Nugget Range

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Semivariogram Semivariogram(distance h) = 0.5 * average [ (valuei– valuej)2]

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What is geostatistics ?

The statistics of spatially correlated data

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Geostatistical Analyst - Overview •

Interactive -



Exploratory Spatial Data Analysis tools Variography Kriging Other interpolation methods Cross validation

Geoprocessing toolbox -

Esri UC2013 . Technical Workshop .

Interpolation Sampling Network Design Simulation Utilities Conversion

Where is Geostatistical Analyst used?

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Where is Geostatistical Analyst used?

Esri UC2013 . Technical Workshop .

Experiment conducted by the US EPA 20 years ago Isaaks & Srivastava, 1989. An Introduction to Applied Geostatistics.



12 independent reputable geostatisticians



Given the same data



Asked to perform the same straightforward estimation



Results were widely different



Different -

data analysis conclusions variogram models and choice of kriging type searching neighborhoods.

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Geostatistical Analyst – Toolbar and Toolbox

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Geostatistical Wizard Demonstration

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What’s new in 10 – Optimize buttons Local Polynomial Interpolation • Kriging •

-

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Nugget, partial sill and other(s), are optimized using cross validation with focus on the estimation of the range parameter.

What’s new in 10.0+ •

Areal Interpolation -



Empirical Bayesian Kriging (EBK) -



predictions can be made from one set of polygons to another set of polygons builds local models on subsets of the data, which are then combined together to create the final surface.

Normal Score Transformation -

Multiplicative Skewing approximation method

Esri UC2013 . Technical Workshop .

Interpolation workflow •

Exploratory Spatial Data Analysis (ESDA)



Interpolate -



estimation of values at unsampled locations based on known values

Goodness of fit

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Exploratory Spatial Data Analysis Where is the data located? • What are the values at the data points? • How does the location of a point relate to its value? •

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Exploratory Spatial Data Analysis (ESDA)

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Exploratory Spatial Data Analysis (ESDA)

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Kriging •

Concepts and Applications of Kriging -

Tuesday 10:15am – 11:30am (room 04)

-

Wednesday 3:15pm – 4:30pm (room 04)

Outline • Introduction to kriging • Best practices • Fitting a proper model • Variography, transformations, isotropy, stationarity • Comparing models using cross validation • Interpreting results



Empirical Bayesian Kriging – Robust kriging as a GP tool -

Wednesday 10:00am – 10:30am Demo theater

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

What is kriging? It is a geostatistical interpolation technique



that models the spatial correlation of point measurements



to estimate values at unmeasured locations.



Associates uncertainty with the predictions Correlation



Distance Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Kriging Demonstration

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Empirical Bayesian Kriging (EBK) •

automates the most difficult aspects of building a valid kriging model



estimates the semivariogram through repeated simulations



can handle non-stationary input data. Unlike other kriging methods (use weighted least squares), the semivariogram parameters in EBK are estimated using restricted maximum likelihood (REML). New in ArcGIS 10.1

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

For a given distance h, the semivariogram model: γ(h)= Nugget + b|h|α

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Empirical Bayesian Kriging (cont) •

Advantages -



Requires minimal interactive modeling Allows accurate predictions of non-stationary data More accurate than other kriging methods for small datasets Geoprocessing tool

Disadvantages -

Processing is slower than other kriging methods. Cokriging and anisotropy are unavailable.

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Empirical Bayesian Kriging Demonstration

Esri UC2013 . Technical Workshop .

Goodness of fit / Model acceptance



Subset Features



Cross Validation

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Cressie, 1990 •

Cross validation does not prove that the model is correct,



merely that it is not grossly incorrect.

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Cross validation Demonstration

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Geostatistical layer Method and parameters • Pointer to the data • Dynamic •

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Output = Prediction, Prediction SE, Probability, Quantile, Condition number

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Geostatistical layer Demonstration

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Areal Interpolation •

reaggregation of data from one set of polygons to another set of polygons

New in ArcGIS 10.1

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Areal Interpolation Demonstration

Esri UC2013 . Technical Workshop .

Demo theater Areal Interpolation Wednesday 5:30pm – 6:00pm

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Simple kriging

N = 500 100 8

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Demo theater Geostatistical Simulations Thursday 11:00am – 11:30am

Esri UC2013 . Technical Workshop .

Interpolation with Barriers •

Kernel interpolation



Diffusion interpolation

? Cost Raster Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Create Spatially Balanced Points •

Monitor road pollution



Convert roads to raster



High value = busy road



Low value = quite road

Sampling Network Design Esri UC2013 . Technical Workshop .

Create Spatially Balanced Points (cont.)

Sampling Network Design Esri UC2013 . Technical Workshop .

Densify Sampling Network •

Used kriging to create: -



Prediction surface Standard error of prediction

Want to add 2 new sites

Sampling Network Design Esri UC2013 . Technical Workshop .

Densify Sampling Network (Cont.)

Sampling Network Design Esri UC2013 . Technical Workshop .

Demo theater Designing and Updating a Monitoring Network Thursday 11:30am – 12:00pm

Esri UC2013 . Technical Workshop .

resources.arcgis.com

Esri UC2013 . Technical Workshop .

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

Esri UC2013 . Technical Workshop . Geostatistical Analyst - An Introduction

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First Offering ID: 1174 Second Offering ID: 1294

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