Biology<unk>  diagrams have been used to study why butterflies are found where they are, and to see how topographic features (such as mountain ranges) limit their migration and range. Within mammal distributions across central North America, these plots have correlated their edges to regions which were glaciated within the previous ice age, as well as certain types of vegetation. Meteorology<unk>  of ten NCEP global ensemble members at the 500 hPa pressure level for a 3.5 day forecast. Areas of greatest uncertainty are circled in red Within meteorology,<unk>  diagrams are normally drawn from ensemble forecasts. A meteorological variable e.g. pressure, temperature, or precipitation amount is drawn on a chart for a number of slightly different model runs from an ensemble. The model can then be stepped forward in time and the results compared and be used to gauge the amount of uncertainty in the forecast. If there is good agreement and the contours follow a recognizable pattern through the sequence, then the confidence in the forecast can be high. Conversely, if the pattern is chaotic, i.e., resembling a plate of<unk> , then confidence will be low. Ensemble members will generally diverge over time and<unk> s are a quick way to see when this happens.<unk> s 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. Because ensemble forecasts naturally diverge as the days progress, the projected locations of meteorological features will spread further apart. A mean-spread diagram will take a mean of the calculated pressure from each spot on the map as calculated by each permutation in the ensemble, thus effectively smoothing out the projected low and making it appear broader in size but weaker in intensity than the ensemble's permutations had actually indicated. It can also depict two features instead of one if the ensemble clustering is around two different solutions. Various forecast models within tropical cyclone track forecasting can be plotted on a<unk>  diagram to show confidence in five-day track forecasts. When track models diverge late in the forecast period, the plot takes on the shape of a squashed spider, and can be referred to as such in National Hurricane Center discussions. Within the field of climatology and paleotempestology,<unk> s have been used to correlate ground temperature information derived from boreholes across central and eastern Canada. As in other disciplines,<unk>  diagrams can be used to show the motion of objects, such as drifting weather buoys over time. Business<unk>  chart which shows nurse movement through a facility in the search for a glucometer<unk>  diagrams were first used to track routing through a factory.<unk> s are a simple tool to visualize movement and transportation. Analyzing flows through systems can determine where time and energy is wasted, and identifies where streamlining would be beneficial. This is true not only with physical travel through a physical place, but also during more abstract processes such as the application of a mortgage loan. Medicine<unk> s can be used to track the results of drug trials amongst a number of patients on one individual graph to determine their benefit. They have also been used to correlate progesterone levels to early pregnancy loss. The half-life of drugs within people's blood plasma, as well as discriminating effects between different populations, can be diagnosed quickly via these diagrams.
Spaghetti plot
Patlak plot
Wells curve
Wiggers diagram
Preston curve
De Finetti diagram
Ogden tables
Loop mark