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Geospatial Analysis for Optimization at Environmental Sites

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Navigating this Website
Overview
Fact Sheets
Fact Sheets Overview
Fact Sheet 1: Do You Need Geospatial Analysis?
Fact Sheet 2: Are Conditions Suitable for Geospatial Analysis?
Fact Sheet 3: How is Geospatial Analysis Applied?
Fact Sheet 4: What Software is Available to Help?
PM's Tool Box
PM's Tool Box Overview
Review Checklist
Choosing Methods
Common Misapplications
Optimization Questions
Geospatial Analysis Support for Optimization Questions in the Project Life Cycle
Data Requirements
General Considerations
Methods for Optimization
Geospatial Methods for Optimization Questions in the Project Life Cycle Stages
Release Detection
Site Characterization
Remediation
Monitoring
Closure
Documenting Results
Fundamental Concepts
Fundamental Concepts for Geospatial Analysis
Basic Data Concepts for Geospatial Analysis
Interpolation Methods and Model Prediction
Uncertainty in Geospatial Analyses
Characteristics of Interpolation Methods
Work Flow
Work Flow for Conducting Geospatial Analysis
Geospatial Analysis Work Flow Overview
Perform Exploratory Data Analysis
Select Geospatial Method
Build Geospatial Model
Evaluate Geospatial Method Accuracy
Generate Geospatial Analysis Results
Using Results
Using Analysis Results for Optimization
Plume Intensity and Extent
Trend Maps
Estimating Quantities
Hot Spot Detection
Sample Spacing
Estimating Concentrations Based on Proxy Data
Background Estimation
Quantifying Uncertainty
Remedial Action Optimization
Monitoring Program Optimization
Examples
Examples Overview
Example 1
Example 2
Example 3
Example 4
Methods
Methods Overview
Simple Geospatial Methods
More Complex Geospatial Methods
Advanced Methods
Index of Methods
Software
Software Overview
Software Comparison Tables
Software Descriptions
Workshops and Short Courses
Case Studies
Case Studies Overview
Superfund Site Monitoring Optimization (MAROS)
PAH Contamination in Sediments—Uncertainty Analysis (Isatis)
Optimization of Long-Term Monitoring at Former Nebraska Ordnance Plant (GTS; Summit Envirosolutions)
Optimization of Lead-Contaminated Soil Remediation at a Former Lead Smelter (EVS/MVS)
Extent of Radiological Contamination in Soil at Four Sites near the Fukushima Daiichi Power Plant, Japan (ArcGIS)
Optimization of Groundwater Monitoring at a Research Facility in New Jersey (GWSDAT)
Optimization of Sediment Sampling at a Tidally Influenced Site (ArcGIS)
Stringfellow Superfund Site Monitoring Optimization (MAROS)
Lead Contamination in Soil (ArcGIS)
Stakeholder Perspectives
Additional Information
Project Life Cycle Stages
History of Remedial Process Optimization
Additional Resources
Acronyms
Glossary
Index of Methods
Acknowledgments
Team Contacts

 

Geospatial Analysis for Optimization at Environmental Sites
HOME

Choosing Methods

This guidance provides information about selecting a geospatial method. The following flow charts provide more detailed information about choosing a geospatial method. Follow the steps below to choose the geospatial methods that may be appropriate to conduct the geospatial analysis:

Step 1. What questions are you trying to answer for each phase in the project life cycle? See Geospatial Methods for Optimization Questions in the Project Life Cycle Stages.

Step 2. Do you have the minimum data required in order to use geospatial methods? See Table 1 and Figure 1.

Step 3: Perform exploratory data analysis.

Step 4. Use the flow charts below to determine if simple, more complex, or advanced methods are suitable for the geospatial analysis.

GRO Flow Chart Sheet 1 of 4

 

Click Here to go to Consider optimization questionsClick Here to go to GSMC-1Click Here to go to Perform Exploratory Data AnalysisClick Here to go to Simple MethodsClick Here to go to GRO Flow Chart Sheet 2 of 4Click Here to go to GRO Flow Chart Sheet 3 of 4


GRO Flow Chart Sheet 2 of 4

 

Click Here to go to Splines and Kernel SmoothingClick Here to go to Spatial Correlation ModelsClick Here to go to More Complex MethodsClick Here to go to Cross ValidationClick Here to go to Parametric Regression


GRO Flow Chart Sheet 3 of 4

 

Click Here to go to information on outliersClick Here to go to Examine data distribution and outliersClick Here to go to Conduct data detrendingClick Here to go to Fitting VarigramClick Here to go to VariogramClick Here to go to Directional VariogramsClick Here to go to Using Analysis Results for OptimizationClick Here to go to GRO Flow Chart Sheet 1 of 4Click Here to go to GRO Flow Chart Sheet 2 of 4Click Here to go to GRO Flow Chart Sheet 4 of 4Click Here to go to Fitting VariogramClick Here to go to Kriging


GRO Flow Chart Sheet 4 of 4

Click Here to go to Conditional SimulationClick Here to go to KrigingClick Here to go to Point and Block KrigingClick Here to go to Point and Block KrigingClick Here to go to Conditional SimulationClick Here to go to Conditional SimulationClick Here to go to Co-krigingClick Here to go to Point and Block KrigingClick Here to go to Point and Block KrigingClick Here to go to Co-kriging

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