Global refers to calculation that are made over the whole data set whereas local refers to calculations that are made local to a point or a partition.
In high dimension, it's really difficult to stay local.
Example: the percentage of volume that contains 10% of the data in an hypercube is:
To resolved this problem, (structured|parametrized) model have been introduced. The simplest one is the linear model.