1. Surface Interpolation in ArcGIS
Steve Lynch
Esri – Redlands, CA

2. What are surfaces?
Raster
TIN
Terrain
LAS

3. Where are they commonly created?
Spatial Analyst
3D Analyst
Geostatistical Analyst

4. Continuous data Lightning strikes Tree diameters Soil type Rainfall
4.5
Dove count 1 8
Lightning strikes
Tree diameters
Soil type
Rainfall
Temperature
Elevation

5. Types of input Points Raster Polygon Polylines Continuous values
Discrete values (e.g. Counts)
Raster
Fill in missing values
resample
Polygon
Centriod
Areal Interpolation
Dasymetric mapping
Polylines
Contours

6. ESDA Where is the data located?
What are the values at the data points?
How does the location of a point relate to its value?

7. What method to use ?
Rainfall ?
800
500
300
100

8. Demo: Natural Neighbor

9. Natural Neighbor

10. Kriging
Stationary
Normally distributed
Standard error of prediction

11. Demo: Kriging … in the Wizard

12. The statistics of spatially correlated data
What is geostatistics ?
The statistics of spatially correlated data

13. Interpolation with Barriers
IDW
Spline with Barriers
Kernel Interpolation with Barriers
Diffusion Interpolation with Barriers

14. Interpolation with Barriers?
Barrier ?
Barrier

15. Topo To Raster Topogrid Anudem (4.6.3 -> 5.3) Input
Spot heights
Contours
Streams
Sinks
Lakes
Cliffs
Coast
Exclusion
New output diagnostics

16. Input data – Lake Tahoe

17. Demo: TopoToRaster

18. Large input data Point To Raster Smaller input extent Subset Features
Most frequent
Sum, mean std. deviation
Minimum, maximum, range, count
Smaller input extent
Subset Features

19. Goodness of fit / Model acceptance
Subset Features
Cross Validation

20. Coincident points

21. Exact interpolator ? Input points have a min of 1395
However, raster has a min of 1613