Exam 14: How to Perform Spatial Interpolation With Arcgis Pro

The goal of spatial interpolation is:

Which ArcGIS Extension contains utilities for working with spatial statistics?

Which of the following interpolation methods is not a deterministic method?

An interpolation method that uses a mathematical process to fit the surface exactly through the known points is:

Which of the following interpolation methods tends to produce overly smooth surfaces?

An interpolation method that accounts for spatial variation is:

Which type of spline has a tendency to produce a less smooth surface?

Which type of Kriging assumes the presence of a trend in the dataset?

Which type of spline has a tendency to produce a surface with values well outside the range of source values?

Which is true of a local interpolation method?

Using the polygon boundaries of states to determine statistics (such as the sum) of raster cells that fall within those boundaries is an example of which concept?

Which of the following interpolation methods is inexact and used for identifying overall broad trends?

Which of the following interpolation methods takes statistical measures and spatial autocorrelation into account when interpolating?

Which of the following interpolation methods uses the premise that the closer a nearby value is to a location, the more weight it contributes to calculating the value at that location?

Which of the following interpolation methods will often contain a "bull's-eye" effect in its resulting surface?