NAME EXERCISE 17 SPATIAL AVERAGE INTERPOLATION OBJECTIVE APPLY

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Exercise 2 Modifiable Areal Unit Problem and Effect of Scale

Name ______________________

Exercise 17 Spatial Average Interpolation

Objective: Apply Spatial Average Interpolation

Task: This exercise is to interpolate ozone level surface in California. You will use Raster operations available in ArcGIS Spatial Analyst Extension.

Steps:

Start ArcMap. Open “Ex16.mxd” and save it as “Ex17.mxd”.
Expand Spatial analyst…Interpolate to Raster. Click Inverse Distance Weighted. This is the function for IDW interpolation. But we are going to use it for simple spatial average interpolation.

What is the major difference between IDW and simple spatial average interpolation?

Set Input points to ca_ozone_pts. Set Z value field to OZONE. Set Power to a very small number (e.g. 0.000000001).

Why such a small number? _____________

Set the Search radius type to Fixed. Set Distance to 10000.

Recall there are two methods in simple spatial average interpolation: fixed distance and specified number of neighbor points. By using fixed search radius, which one is used?

Set the Output raster to disLSA10000. Set Output cell size to 2000. Click Ok. A new layer disLSA10000 will be added.

Have the parameters used produced a satisfactory surface? Why?

Repeat Step 3, 4, 5. Set Input points to ca_ozone_pts. Set Z value field to OZONE. Set Power to a very small number (e.g. 0.000000001). Then set Set Distance to 100000 and Output raster to disLSA100000. Set Output cell size to 2000. Click Ok. A new layer disLSA100000 will be added.

Have the parameters used produced a better surface? ________

Repeat Step 3, 4, 5. Set Input points to ca_ozone_pts. Set Z value field to OZONE. Set Power to a very small number (e.g. 0.000000001). Then set Search radius type to Variable. Set Number of points to 12. Set Output cell size to 2000. Set the Output raster to nnpLSA. Click Ok. A new layer nnpLSA will be added.

Recall there are two methods in simple spatial average interpolation: fixed distance and specified number of neighbor points. By using variable search radius, which one is used?

Your impressions on both methods respectively? Which one produced a better surface map?

Discuss below the patterns of ozone distribution in CA.

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