This is the task of soil prognosis, and you can solve it using GIS Eco. The prediction quality is evaluated by a correlation coefficient between chosen soil property and land surface attributes. Predicted soil property values are available in each map point. A multiple linear regression is used in the current version of GIS Eco. Powerful features of prognoses are due to that GIS Eco automatically treats all of 19 basic land surface attributes to retrieve those three of them, for which correlation between given soil property and land surface attributes is highest.
New approaches give new possibilities to users.
Data can be edited, for example, to eleminate bad points of measured soil data. Also areal measured data can be used in GIS Eco. This allows users to have a geographical view to land surface analyses and to soil or vegetation prognoses. Dealing with data from other programs or passing data to them, users need to properly prepare these data and to have corresponding export and import facilities. GIS Eco exports and imports data not only in simple textual formats, but also in ArcView, MapInfo, Surfer 7 and some other popular programs.