At the first stage of the task solution the aim of the investigation should be formulated. Next the factors are chosen which determine the prognostic and diagnostic attributes of the phenomenon under analysis.

Maps, field data, tables, images and any other information on the territory under study could be used as source data.

At the next stage it is necessary to digitalize the data that will be used for the calculation of the prognostic and diagnostic attributes of the model, to reduce them to common cartographic projection and to upload them to the scene of the GIS project.

The forecast block INTEGRO operates with data presented in the form of regular grid. All the attributes under analysis should be calculated into one table “Object-attribute” (TOA) on the basis of the chosen formalization methods. The cell size for TOA calculation is defined on the basis of the required object size or on the basis of the expected accuracy  of the estimation of the phenomenon under analysis.

The completeness, interdependence and  consistency of the prepared attributes set is checked using the algorithms of data quality formal analysis in order to obtain a high-quality result. At this stage the attributes can be transformed to improve the operation of the taxonomy algorithms.

Several categories of taxonomy algorithms are represented in the forecast block; the choice of solution method depends on the type of selected attributes, model and researcher’s personal preferences.

The last stage consists of the interpretation of obtained prognostic and diagnostic assessment and of the comparison of the obtained result with the assessment criteria formulated at the first stage of the task solution.