GISP Section 6 Analytical Methods
Quantiles - Answer What classification method is best used for data that is evenly
distributed?
Equal Interval - Answer This classification method is best used with continuous datasets.
Datasets will likely fall in one or two classes in the map. - Answer What is the disadvantage
of using Equal Interval classification?
Natural Breaks (Jenks) - Answer This classification group values in classes by distinct break
points
Features placed in similar classes will have can have wildly different values especially if dataset
is not evenly distributed. - Answer What is the disadvantage of using Quantile classification
Comparing two or more maps using Natural Breaks classification can be difficult because the
breaks in classes are specific to the dataset. - Answer What is a disadvantage of using
Natural Breaks (Jenks) classification method?
Standard Deviation - Answer This classification method forms each class by adding and
subtracting the standard deviation from the mean of the dataset
Standard Deviation - Answer What classification method is best suited for datasets with a
normal distribution?
Equal Area - Answer This classification method divides data into equal proportions
geographically
Geometric Interval - Answer This classification method is a compromise between Quantiles,
Natural Breaks, and Equal Interval. It is a visual tool showing the geometrical progression of a
dataset when the distribution is extremely skewed (not normally distributed). It divides data
into classes where the gaps between values grow or shrink.
Raster Classification Noise - Answer Isolated pixels with wrong classification. Common in
remote sensing
Classification Verification - Answer Verify by with error matrix using aerial photos/ ground
truthing
Quantiles - Answer What classification method is best used for data that is evenly
distributed?
Equal Interval - Answer This classification method is best used with continuous datasets.
Datasets will likely fall in one or two classes in the map. - Answer What is the disadvantage
of using Equal Interval classification?
Natural Breaks (Jenks) - Answer This classification group values in classes by distinct break
points
Features placed in similar classes will have can have wildly different values especially if dataset
is not evenly distributed. - Answer What is the disadvantage of using Quantile classification
Comparing two or more maps using Natural Breaks classification can be difficult because the
breaks in classes are specific to the dataset. - Answer What is a disadvantage of using
Natural Breaks (Jenks) classification method?
Standard Deviation - Answer This classification method forms each class by adding and
subtracting the standard deviation from the mean of the dataset
Standard Deviation - Answer What classification method is best suited for datasets with a
normal distribution?
Equal Area - Answer This classification method divides data into equal proportions
geographically
Geometric Interval - Answer This classification method is a compromise between Quantiles,
Natural Breaks, and Equal Interval. It is a visual tool showing the geometrical progression of a
dataset when the distribution is extremely skewed (not normally distributed). It divides data
into classes where the gaps between values grow or shrink.
Raster Classification Noise - Answer Isolated pixels with wrong classification. Common in
remote sensing
Classification Verification - Answer Verify by with error matrix using aerial photos/ ground
truthing
