The MapGen100 has initial spatial data validation models that check whether the transformed initial data corresponds to the MapGen spatial data structure and whether it is suitable for automated generalization to smaller scale spatial data. Verification models check the geometry and attributes of the source spatial data. Based on the results of the verification, the user may adjust its initial data.
MapGen100 spatial data processing models are divided into two parts: spatial data set generalization models and cartographic representation creation models.
MapGen100 spatial data set generalization models are designed to automatically process initial data to obtain a spatial data set at scale 1: 100000. The tools automatically simplify spatial data, merge neighboring or eliminate redundant objects, reduce the number of object vertices, and so on.
Cartographic representation models are designed to automate cartographic data generalization and create a standard digital MapGen map at scale 1: 100000. Objects are assigned cartographic symbols, and they are represented according to cartographic rules. Before running cartographic generalization models, cartographic data is transformed, then symbols are assigned to objects, and cartographic generalization is performed.
At the end of the workflow of the MapGen100 models, the user gets automatically generalized spatial data and cartographic datasets that meets the data completeness criteria at scale 1:100000 and creates a standardized map in pdf format.