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The 3D cadastre concept brings data models, which are more complex than traditional 2D cadastral data models and could be followed by a large amount of data. The 3D cadastral data should be stored in database management systems, since the cadastral data integrity and consistency have to be satisfied. Relational database management system requires a tabular structure where data are stored within predefined columns and data types, and this could be uncomfortable for 3D cadastre until relational provides full 3D support. This study examines the possibility of using NoSQL databases in the 3D cadastre domain. NoSQL database stores unstructured data, which means that it is not required to define in advance what data types and categories will be used. From the 3D cadastre point of view, the NoSQL approach provides flexibility in data types and allows easier implementation of the 3D cadastral models. The implementation is conducted by using MongoDB and 3D Cadastral Data Model, where 3D cadastral data, including both alphanumerical and geometry part of data, are prepared for importing and then stored, managed, queried, and updated within NoSQL database. Furthermore, data stored in MongoDB are visualized and queried inside a web browser by using Cesium library.

Solving the problem of publicly available census data disaggregation has preoccupied numerous researchers intensively. A noteworthy advance in the methodology was made thanks to the contemporary storage and presentation of spatial and socio-economic data in the GIS environment. It is also important that a large number of auxiliary databases (satellite images, theme layers pertaining to land use and land cover, etc.) are publicly available and are periodically supplemented at increasingly shorter time intervals. Soil sealing databases are another class of auxiliary databases that pertain to land areas which have, due to anthropogenic influences, become a water-impermeable layer and indicate the level of spatial development and spatial contents that correlate to the population distribution. The soil sealing database can be a useful tool for dasymetric mapping of population when combined with town planning documentation that describes land use and height of residential buildings. The results of such mapping can help monitor the spatio-temporal dynamics of population trends in periods between two censuses. This study presents a methodology in which a soil-sealing database is combined with auxiliary data in a test area covered by the Master Plan of the Belgrade City, with census data from the year 2002 and the results of the year 2011. The results of the model validation indicate application of the proposed methodology in highly urbanised areas. / Vprašanju razčlenjevanja javno dostopnih podatkov iz popisa so se posvečali že številni raziskovalci. Sodobni načini hranjenja ter predstavitve prostorskih in družbeno-ekonomskih podatkov v okolju GIS so prinesli pomemben napredek v metodologiji. Pri tem je pomembno tudi, da je javno dostopnih veliko pomožnih zbirk podatkov (satelitski posnetki, tematske plasti, ki se nanašajo na rabo zemljišč in pokrovnost tal, itd.), ki se vse hitreje dopolnjujejo. Zbirke podatkov o pozidanosti tal so eden od razredov pomožnih zbirk podatkov o zemljiščih, ki so zaradi antropogenih vplivov postala vodotesna, ter pričajo o stopnji prostorskega razvoja in prostorskih vsebinah, ki se povezujejo z razporeditvijo prebivalstva. Zbirka podatkov o pozidanosti tal je lahko v kombinaciji z dokumentacijo o načrtovanju mesta koristno orodje za dasimetrično kartiranje prebivalstva, ki opisuje rabo tal in višino stanovanjskih zgradb. Rezultati takšnega kartiranja so uporabni pri spremljanju prostorsko-časovne dinamike prebivalstva med dvema popisoma. V študiji je predstavljena metodologija, pri kateri je zbirka podatkov o pozidanosti tal kombinirana s pomožnimi podatki na testnem območju iz glavnega načrta Mesta Beograd, s podatki iz popisa iz leta 2002 in rezultati iz leta 2011. Preverjanje veljavnosti modela kaže, da je predlagana metodologija uporabna na močno urbaniziranih območjih.