Spaghetti plots are a simple tool to visualize movement and transportation.

Spaghetti plots are a method of viewing data to visualize possible flows through systems.

Ensemble members will generally diverge over time and spaghetti plots are a quick way to see when this happens.

Spaghetti plots can be used to track the results of drug trials amongst a number of patients on one individual graph to determine their benefit.

Within the field of climatology and paleotempestology, spaghetti plots have been used to correlate ground temperature information derived from boreholes across central and eastern Canada.

There are various ways of viewing the data such as spaghetti plots, ensemble means or Postage Stamps where a number of different results from the models run can be compared.

Spaghetti plots can be a more favorable choice compared to the mean-spread ensemble in determining the intensity of a coming cyclone, anticyclone, or upper level ridge or trough.

They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

The maps displaying these data are called "spaghetti plots" because the lines representing each alternative weather situation for a week or two from the present wiggle across the screen like a tangle of pasta.