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Analiza in vizualizacija nepremičninskih podatkov v Sloveniji : magistrsko delo
ID
Nunar, Anže
(
Author
),
ID
Pretnar, Matija
(
Mentor
)
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Abstract
V magistrskem delu bomo najprej predstavili nepremičninske evidence v Sloveniji. Na kratko bomo predstavili razloge za vzpostavitev, njihov zgodovinski razvoj in povezanost med njimi. Na koncu bomo pojasnili, kje pri trenutni ureditvi lahko pride do napačnih podatkov. V nadaljevanju bomo predstavili osnovne pojme in se osredotočili na najmlajšo nepremičninsko evidenco, register nepremičnin. Opisali bomo njegov podatkovni model in opravili osnovno analizo atributnih podatkov ter jih na podlagi ugotovitev poskusili vizualizirati. Menimo, da so nekateri podatki v evidencah napačni, zato jih bomo skušali odkriti in predlagali možnosti za njihovo odpravo. Menimo, da do napak prihaja pri vnosu in zaradi povezovanja z drugimi evidencami. Predlagali bomo pravila, kako se napakam izogniti ter podali možnosti uporabe sodobnih tehnologij, ki bi nam pri tem lahko pomagale.
Language:
Slovenian
Keywords:
parcela
,
stavba
,
nepremičnina
,
register nepremičnin
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FMF - Faculty of Mathematics and Physics
FRI - Faculty of Computer and Information Science
Year:
2019
PID:
20.500.12556/RUL-113372
UDC:
519.2
COBISS.SI-ID:
18861913
Publication date in RUL:
24.12.2019
Views:
1774
Downloads:
259
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NUNAR, Anže, 2019,
Analiza in vizualizacija nepremičninskih podatkov v Sloveniji : magistrsko delo
[online]. Master’s thesis. [Accessed 2 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=113372
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Secondary language
Language:
English
Title:
Analysis and Visualization of Real Estate Date in Slovenia
Abstract:
This thesis deal with real estate records in Slovenia. Firstly, it briefly presents reasons for their establishment, their historical development and their interconnectedness. Secondly, the thesis discusses how current real estate record regulations might bring about faulty data. In the main part of the thesis, main technical terms are explained, with the focus on those related to the most recent version of real estate records - the real estate registry. Its data model is described and an analysis of attributive data is carried out. Based on the findings, a visualisation of data is presented. We believe that some data in the records is faulty, so we try and discover the errors and search for solutions on how to eliminate them. We believe that the errors occur due to incorrect data input and due to interconnectedness between different records. We suggest some techniques for eliminating the inaccuracies, most of which are carried out with the help of modern technologies.
Keywords:
land
,
building
,
real estate
,
real estate register
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