D Cadastral Database Systems—A Systematic Literature Review
Bibliographic Data
| ID | 22031990 |
|---|---|
| Authors | Javad Shahidinejad (0009-0007-0402-8229, The University of Melbourne, corresponding author), Mohsen Kalantari (0000-0002-6650-5218, The University of Melbourne), Abbas Rajabifard (0000-0002-4256-3173, The University of Melbourne) |
| Year | 2024 |
| Volume | 13 |
| Issue | 1 |
| Pages | 30 |
| Publication date | 2024-01-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi13010030 |
| OpenAlex | W4390943116 |
| Language | EN |
| Citations received | 3 |
| References cited | 88 |
Cadastral databases have been used for over 20 years, but most contain 2D data. The increasing presence of high-rise buildings with modern architecture complicates the process of determining property rights, restrictions, and responsibilities. It is, therefore, necessary to develop an efficient system for storing and managing multidimensional cadastral data. While there have been attempts to develop 3D cadastral database schemas, a comprehensive solution that meets all the requirements for effective data storage, manipulation, and retrieval has not yet been presented. This study aims to analyse the literature on 3D cadastral databases to identify approaches and technologies for storing and managing these data. Based on a systematic literature review integrated with a snowballing methodology, 108 documents were identified. During the analysis of the related documents, different parameters were extracted, including the conceptual data model, query type, and evaluation metrics, as well as the database management system (DBMS) used and technologies for visualisation, data preparation, data transformation, and the ETL (extract, transform, and load) process. The study emphasised the importance of adhering to database design principles and identified challenges associated with conceptual design, DBMS selection, logical design, and physical design. The study results provide insights for selecting the appropriate standards, technologies, and DBMSs for designing a 3D cadastral database system
Cadastre · Data science · Database · Database design · Geography · 3D Modeling in Geospatial Applications · Computational Geometry and Mesh Generation · Computer Science · Geological Modeling and Analysis
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |