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Computer Cartography

Kernel Density Estimation

QuestionAnswer
What is kernel density estimation (interpolation)? method for discrete point data
What is continuous data? Exists everywhere on the surface of the Earth
What is discrete data? Exists at a specific location
What happens when you apply kernel estimation to discrete data? Get raster of cells with density values
How do we go from discrete to continuous surface using kernel density estimation? Place a 3-dimensional kernel function over each point so that the point is in the center of the kernel function
How do you calculate the density for a grid cell? Take the cumulative distance of all the 3-dimensional kernel functions that are above the center of cell
What does it mean if you have a grid cell with a high density? High concentration
What are the six kernel functions? normal, quartic, triangular, negative exponential, and uniform
Which two functions should you use? Normal or quartic
What is bandwidth? The distance from the center of function to outer edge
What are two characteristics of a long bandwidth? flat and generalized
What are two characteristics of a short bandwidth? tall and less generalized results
How many bandwidth options are there? 2
Which bandwidth option do you vary the bandwidth by specifying the minimum number of points falling under each kernel function? Adaptive
Which bandwidth option do you vary the bandwidth by specifying the bandwidth to a value and having all kernel functions drawn to the value? Fixed
If you specify a large number of points to fall under your kernel function, how will it look? Long and more generalized
If you specify a small number of points to fall under your kernel function, how will it look? Short and more detailed
Which bandwidth type is preferred? Adaptive
How should you set the minimum number of points that you want to fall under your kernel function? Using a few percent of the entire points, like 2 or 3%
Will changing the cell size change the results or how they are visualized? How they are visualized
Created by: aley1
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