Schedule

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Syllabus

Schedule

Assignments

Oceanography 499B
Applied Geostatistics

Our Three Main Topics

Descriptive Statistics of spatial pattern
Estimation & Prediction: Interpreting the Variogram & Fitting a Model
Quantitative Pattern Metrics: Composition and Configuration

Week 1. Introduction

Logistcs - class schedule
First Day presentation
What is Geostatistics
Outline geostatistical workflow – introduce software tools
Preliminary introduction of fragstats for describing data surfaces

Homework: readings

Week 2. - Descriptive Statistics and Semivariance

Introduce statistics terminology and define symbology/notation
Explore data formats, define continuous vs. discrete, integer vs. floating point
Review the histogram: mean, mode, median, st dev…

Lab: Geographic Distribution ... and Line Feature Distribution ... ArcToolBox

Homework: gather data & define geostatistical objective

Week 3. -Spatial Description

Introduction to autocorrelation, covariance, and semi-variance
Moran-I demostartion
Define Regionalized variables

Lab: Spatial Relationships

Week 4. - Spatial Pattern

Summarize Describing Spatial Relationships
Discuss spatial dependence, spatial correlation
Introduce aniso vs. isotrophy, heteroscedasticity,

Homework: prepare data, statistically describe the data, organize project directory

Week 5. -Introduction to ArcGIS Geostatistical Toolbox: Terms & Tools

Exploring the ArcGIS geostatistical analyst and Fragstats.
Empirical Semivariogram
Input data, view histogram, and run demo geo-stat Wizard using defaults?
Prepare data for analysis – degenerated dataset examples & considerations

Lab: Work through the Geostatictics Wizzard

Week 6. - Using ArcGIS Geostatiscal Toolbox:

Kriging Models
Construct and interpret a variogram
Explore fitting a model & predicting surfaces
Discuss Trend, QQ Plot, Voronoi Map, Cross Covariance Cloud
Student demostrations

Week 7. - Pattern Analysis via pattern Metrics

Introduce Pattern Metrics
concepts of landscape ecology -
Describing spatial heterogeneity
Discuss Composition vs Configuration
Choosing appropriate metrics
Short demo of Fragstats
Review results

Lab: Pattern Analysis

Week 8. - Pattern Analysis: Using Fragstats

Calculating metrics on individual datasets using fragstats
Describing spatial patterns and relating to processes

Lab: Calculating metrics

- Estimation and Prediction: Building and validating surfaces

Comparing predicted surfaces
Interpreting and validating the predictions
Assessing accuracy

Final Class Meeting

Wed. March 12th - No traditional Final Exam scheduled for "Finals Week"


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Course Home Syllabus Schedule Assignments	Oceanography 499B Applied Geostatistics Our Three Main Topics Descriptive Statistics of spatial pattern Estimation & Prediction: Interpreting the Variogram & Fitting a Model Quantitative Pattern Metrics: Composition and Configuration Week 1. Introduction Logistcs - class schedule First Day presentation What is Geostatistics Outline geostatistical workflow – introduce software tools Preliminary introduction of fragstats for describing data surfaces Homework: readings Week 2. - Descriptive Statistics and Semivariance Introduce statistics terminology and define symbology/notation Explore data formats, define continuous vs. discrete, integer vs. floating point Review the histogram: mean, mode, median, st dev… Lab: Geographic Distribution ... and Line Feature Distribution ... ArcToolBox Homework: gather data & define geostatistical objective Week 3. -Spatial Description Introduction to autocorrelation, covariance, and semi-variance Moran-I demostartion Define Regionalized variables Lab: Spatial Relationships Week 4. - Spatial Pattern Summarize Describing Spatial Relationships Discuss spatial dependence, spatial correlation Introduce aniso vs. isotrophy, heteroscedasticity, Homework: prepare data, statistically describe the data, organize project directory Week 5. -Introduction to ArcGIS Geostatistical Toolbox: Terms & Tools Exploring the ArcGIS geostatistical analyst and Fragstats. Empirical Semivariogram Input data, view histogram, and run demo geo-stat Wizard using defaults? Prepare data for analysis – degenerated dataset examples & considerations Lab: Work through the Geostatictics Wizzard Week 6. - Using ArcGIS Geostatiscal Toolbox: Kriging Models Construct and interpret a variogram Explore fitting a model & predicting surfaces Discuss Trend, QQ Plot, Voronoi Map, Cross Covariance Cloud Student demostrations Week 7. - Pattern Analysis via pattern Metrics Introduce Pattern Metrics concepts of landscape ecology - Describing spatial heterogeneity Discuss Composition vs Configuration Choosing appropriate metrics Short demo of Fragstats Review results Lab: Pattern Analysis Week 8. - Pattern Analysis: Using Fragstats Calculating metrics on individual datasets using fragstats Describing spatial patterns and relating to processes Lab: Calculating metrics - Estimation and Prediction: Building and validating surfaces Comparing predicted surfaces Interpreting and validating the predictions Assessing accuracy Final Class Meeting Wed. March 12th - No traditional Final Exam scheduled for "Finals Week"
Send mail to: mlog@u.washington.edu Last modified: 2/27/2008 10:24 AM