ewce09.azraftaohid.me/L4T1/EWCE 464/TUTORIAL 05/C01 - Class note.md

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Created: 2026/07/14 10:07 share_link: https://notesx.azraftaohid.me/mb9ghf8b share_updated: 2026-07-14T10:17:53+06:00

1. Geostatistical Analyst
   1. Data Import
   2. Geostatistical Analyst
      1. Fix Extends
      2. Explore
         1. Histogram
         2. QQPlot
         3. Trend
         4. Semivariogram
      3. Mapping Ozone Conc.
      4. Prediction Standard Error
      5. Comparison

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Geostatistical Analyst

Atmospheric ozone monitoring for California. Measured at multiple stations representing overall whole area's concentration.

Data Import

• Import all; though mostly be needed OzoeLeevel_O3_Sep06_3pm, and ca_outline
• ca_hillshade would help understand flat surface and where population mostly live
• Change OzoeLeevel_O3_Sep06_3pm symbology to: Quantities > Graduated colors; value = OZONE_LEVEL_VALUE (optional)

Geostatistical Analyst

• Ensure Geostatistical Analyst extension is checked
• Customize > Toolbox > Geostatistical Analyst
• Geostatistical Analyst > Geostatistical Wizard
• Geostatistical methods > Kriging
  • Dataset > Source Dataset: OzoeLeevel_O3_Sep06_3pm
  • Date Field: OZONE
  • Next
  • Kringing Type: Ordinary
  • Output Surface Type: Prediction
  • Keep default
  • Next
  • Keep default for now
  • Next
  • Keep default
  • Next
  • Understand each tab
  • Finish

Fix Extends

• Rename produced "Kringing" to "Default Kringing"
• Open properties > Extend:
  • Set the extent to: rectangular extent of ca_outline
• Open "Layers" properties:
  • Data Frame > Clip Options:
    • Clip to shape
    • Specify Shape: select Outline of Features to ca_outline

Explore

Histogram

• Geostatistical Analyst > Explore Data > Histogram
• Set attribute to "OZONE_LEVEL_VALUE"
• Values are multiplied by 10 (automatic)
• Select by draging into the plot; check map
• It can be realized that ozone level is high on where population mostly live (i.e., flat or low elevation area)

QQPlot

• Geostatistical Analyst > Explore Data > Normal QQPlot (Quantile Quantile Plot)
• Set attribute to "OZONE_LEVEL_VALUE"
• Understand that data is not normally distributed ($y=x$)

Trend

• Geostatistical Analyst > Explore Data > Trend Analysis
• Set attribute to "OZONE_LEVEL_VALUE"
• Curve representating trend

Semivariogram

• Geostatistical Analyst > Explore Data > Semivariogram/Covariance Cloud
• Set attribute to "OZONE_LEVEL_VALUE"

Mapping Ozone Conc.

• Geostatistical Analyst > Geostatistical Wizard > Kringing
  • Kringing Type: Ordinary
  • Set order of trend removal to second
  • Next
  • Keep default
  • Next:
    • Under View Settings, set search direction to true
    • May reduce lag size (e.g., to $15000$)
    • Under Model #1, set Anistropy to true
  • Next:
    • Under "Search Neighborhood", may change sector type, copy from variogram > angle (e.g., to 90)
    • Ellipse may be moved by clicking on points on the map, or
    • Under "Predicted Value", may change X (e.g., to 66000), Y (-220000)
  • Next:
    • Observe "Normal QQPlot"
  • Finish
• Fix extend

Prediction Standard Error

• Right click into "Kringing"
• Select "Change Output to Prediction Standard Error"
• Compare with <...>
• Revert

Comparison

• Right click into "Kringing"
• Open "Compare"
• Compare with "Default Kringing"