Passing this fucking test

discrete data

represents real-world features that have well-defined boundaries. A discrete feature is distinct from the other features around it. For example, a river is a discrete feature: You can be in the river, out of the river, or half-in and half-out of the river, but there is a distinct place where you stop being dry and begin getting wet.

continuous data

real-world phenomena that do not have well-defined boundaries.

ex. elevation, temperature, rainfall

Deciding between continuous and discrete

consider if taking an average of the values would make sense. If it makes sense to take an average of the values, such as average precipitation, average depth, or average humidity, then the data is continuous. If it does not make sense to take an average of the values, such as for building type, street name, or type of tree, then the data is discrete.

spatial data

data that includes information about the location of a feature or phenomenon

vector

represents discrete dating using points, lines, and polygons