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A model of mass valuation at the national level must be functional, practically applicable, consistent and adaptable to actual conditions and real estate market trends. A consideration of the influence of location on real estate value in a spatial unit, and a description of spatial units with a sufficient number of attributes to determine a connection between the value of these attributes and the average price of real estate in a spatial unit, are important tasks in modelling a system of mass real estate valuation. This paper, based on a test implementation of mass real estate valuation for an area covering a number of municipalities in the Republic of Serbia, offers conclusions on the suitability of the use of a mass valuation method grounded in the principles of logical aggregation and case based reasoning. The values of location characteristics, or factors of spatial unit valuation, were determined in spatial analyses employing GIS, according to an established system of multicriteria valuation. This approach ensures that a model-defined value is not stored as offline data, but that each time such data is needed, it can be determined following the proposed methodology, based on actual, updated data from the databases of official spatial data registries, Prior to this, it is necessary to meet all the required prerequisites, which include the distributed databases of official real estate data registries and other factors needed in the mass valuation procedure. [ABSTRACT FROM AUTHOR]

Efficient management of space resources is one of the main factors of prosperous economic development of an area. Technological development enables an integration of attributes linked to space, creating a spatial informational support for increasingly more complex social communities. An important component of these systems is mass real estate valuation, especially in urban areas. The paper explains data modelling and storage of a 3D test area space model into a spatial database and describes a procedure of visibility calculation as a real estate valuation factor for a part of the City of Zagreb. In the paper, visibility is presented as a visibility polygon, a two-dimensional geometric shape drawn by intersecting a continuous visibility border in all directions from the object weight centre, considering the intersection of horizontal vision and obstacles. A matching visibility polygon is attached to each building in the whole test area, under the assumption that the polygon area can be correlated to a positive or negative influence on real estate value. The speed of the visibility calculation function in the test system was measured. [ABSTRACT FROM AUTHOR]

Efficient management of space resources is one of the main factors of prosperous economic development of an area. Technological development enables an integration of attributes linked to space, creating a spatial informational support for increasingly more complex social communities. An important component of these systems is mass real estate valuation, especially in urban areas. The paper explains data modelling and storage of a 3D test area space model into a spatial database and describes a procedure of visibility calculation as a real estate valuation factor for a part of the City of Zagreb. In the paper, visibility is presented as a visibility polygon, a two-dimensional geometric shape drawn by intersecting a continuous visibility border in all directions from the object weight centre, considering the intersection of horizontal vision and obstacles. A matching visibility polygon is attached to each building in the whole test area, under the assumption that the polygon area can be correlated to a positive or negative influence on real estate value. The speed of the visibility calculation function in the test system was measured. [ABSTRACT FROM AUTHOR]