Abstract: Disclosed are systems and a method for intelligent subsidence risk analysis using GIS data. More specifically the intelligent subsidence risk analysis using GIS data includes vegetation data. In one aspect, GIS data is used to analyze vegetation (trees) in the vicinity of the real estate property. Based on the vegetation, estimate of soil can also be done and combining the vegetation data, soil data and other data overall subsidence risk is estimated. As per yet another aspect of the disclosure, GIS data is obtained using commercial mapping systems and combined with public data.

Abstract: Disclosed are systems (100) and (600) and a method (200) of creating intelligent context aware interlinked zones in a map. More specifically the creation of intelligent context aware interlinked zones uses predefined context parameters and historical data. For an initial zoning of the map, the identified outer boundary of the map and a first subset of context parameters are used. The initial zoning is intelligently updated using the identified second subset of the context parameters and context aware interlinked zones for the map are created.

Abstract: Disclosed are systems (100) and (400) and a method (200) of evolution of a cartographic grid using map information. More specifically the evolution of context cognitive cartographic grid uses context cognitive data and historical data. For an identified reference geolocation on the map, various routes emanating from the reference geolocation are identified and then using pre-defined context parameters, a second geolocation is selected or updated. The process is repeated until all the possible routes associated with the identified reference geo-location are traversed. Subsequently, a convex grid is created using all the geolocations found, to evolve the context cognitive cartographic grid.