The research focuses on the development of a GIS analytical
tool for the classification of residential buildings, designed
to support spatial planning and urban analysis in Slovenia.
Traditional spatial data analysis methods are time-consuming
and often rely on manual procedures, limiting their efficiency
and applicability for large-scale projects. Developed tool
integrates morphological analysis within a GIS environment
to enable the automated classification of buildings based on
various typologies and patterns, representing a significant
advancement in the automation and standardization of spatial
data analysis.
The tool integrates data from the real estate cadastre with
established rules from literature, allowing for consistent
classification of buildings into detached and connected types,
with further classification by typology and building pattern.
The development process utilized PostgreSQL with the PostGIS
extension for data processing and QGIS for visualization,
ensuring accessibility through open-source software. The tool
was tested in three Slovenian cities - Maribor, Velenje, and Škoa
Loka - where it proved to be reliable and adaptable to local
conditions. Results show that the GIS tool simplifies the work of
spatial planners and supports sustainable urban development,
as it facilitates monitoring urban growth and adjusting spatial
policies based on precise building data. The development of
such tools in Slovenia offers significant potential, as it enhances
existing spatial data and allows for future improvements.
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