Lecture 8. Flashcards
Spatial Predictions
Methods are used to estimate values at a unsampled location
spatial interpolation
is the prediction of variables at unmeasured locations, and based on a sampling of the same variables at known locations
Spatial interpolation rely on
he nearest points to estimate missing values, and use some measure of distance from known to unknown values.
Spatial Prediction
involves the estimation of variables at unsampled locations, but estimates are based at least in part on other variables
Core Area is chatacterized by
high use, density, intensity, or probability of occurrence for a variable or event
Core areas are defined
from a set of samples, and are used to predict the frequency or likelihood of occurrence of an object or event
what are the 2 controls in the sampling process
distributing locations and number of samples
Sampling patterns (4 types)
Systematic
random
cluster
adaptive
Systematic Sampling is when
Samples are spaced uniformly at fixed X and Y intervals and may not be the same in both directions
What are the Advantages of Systematic Sampling
Easy understand, and ease in planning and description.
What are the disadvantages of Systematic Sampling
All samples receive the same attention, difficult to stay on lines and may be biases
Random Sampling is when
Select points based on random number process and plot on a map
What are the Advantages of Random Sampling
Less biased
What are the disadvantages of Random Sampling
Does nothing to distribute samples in areas of high variation and location of the points may be a problematic
What is Cluster Sampling
Cluster centers are established by random or systematic means and then samples are arranged around each center on a map