Earth Trends Modeler provides an integrated environment for the analysis of time series data. Here an analysis of trends in sea surface temperature from 1982 to 2006 shows a strong increasing trend of temperature in the Atlantic and its relation to the Atlantic Multidecadal Oscillation (AMO). The triangular wavelet analysis diagram shows the nature and scale of these trends in the Labrador Sea. The animated globe shows variations in ocean height which are closely related with temperature variations.
 

Earth Trends Modeler provides the facility to perform seasonal trend analysis as shown here in this analysis of vegetation index imagery for the period 1982-2003. The colors in the map represent different types of trends in the seasonal curve of vegetation photosynthesis. The graph shows vegetation photosynthetic activity (Y-axis) for each of the 12 months (X-axis) of 1982 (in green) and 2003 (in red) for France. As can be seen, the red color that is found over most of Europe relates to increased photosynthetic activity through the winter and spring. Note that by looking sideways on the graph one can see that spring is coming about a month earlier in 2003 than it was in 1982.
 

Land Change Modeler provides an integrated environment for land cover change analysis and prediction. To predict future scenarios an artificial neural network is employed to model environmental variables related to changing land cover. Both hard and soft scenarios of change are provided to assess future projections. A hard prediction models a single realization while a soft prediction maps the spatial pattern and potential for change.
 

In the projection of future scenarios, users have the facility to output interim stages and to view those stages in a visual loop. Optional dynamic components can be incorporated into the model, such as dynamic road development which can simulate future road growth and types. Also, infrastructure changes and zoning constraints can be input at defined future dates.