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 > Hostogram
- 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)
Explore > QQPlot
- Geostatistical Analyst > Explore Data > Normal QQPlot (Quantile Quantile Plot)
- Set attribute to "OZONE_LEVEL_VALUE"
- Understand that data is not normally distributed ()
Explore > Trend
- Geostatistical Analyst > Explore Data > Trend Analysis
- Set attribute to "OZONE_LEVEL_VALUE"
- Curve representating trend
Explore > 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 )
- 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:
- Finish
- Fix extend
Prediction Standard Error
- Right click into "Kringing"
- Select "Change Output to Prediction Standard Error"
- Compare with <...>
- Revert
Validation Comparison
- Right click into "Kringing"
- Open "Compare"
- Compare with "Default Kringing"