However, by doing so, the upper and lower edges of each variable are reclassed into a discrete cell value and ma y result in misleading data. Investigating the approach to treat the grids as continuous surfaces yielded similar results. The final data in this case would be more realistic in terms of actual values. Creating such a complex data set and display may confuse the client rather than enli ghten them. Remember, you are asked to provide an analysis of the area, to make the decision easier and feasible for the client.
All analysis has some degree of generalization, assumptions to encounter.
Further Research I believe the answer lies in judgement of the client and the consultant, and especially the application. In any event, when the final data is presented, along with a report and notes, the consultant should make recommendations and expla in the context of the data to the client. While the models, calculations and algorithms are all efficient for both modes of data analysis, it is up to the user to decipher what to use, and when to use it. For example, take into account a lab generating ground control data. While the output data points are very accurate, their use is relative to the application.