An Approach to Resolve Inconsistencies of Data in the Cadastre

Abstract

A cadastre, as one of the key registers of land administration, must be maintained to provide up-to-date land information. Before digitization, technical and alphanumerical datasets were maintained separately, leading to redundant data. This resulted in numerous inconsistencies between the cadastral map and the register, leading to the loss of integrity of these authoritative data. The fact that the cadastral map and the register are in the electronic form today does not guarantee their integrity and quality. The aim of this research was to develop a methodology for analyzing and resolving the inconsistencies between a cadastral map and a register, which were indicated by the differences found in the quality controls in cadastral map vectorization projects. A detailed analysis of the differences between the cadastral map and the register data resulted with systematization of causes and the sources of errors, which then led to the inconsistencies between the two cadastral datasets. The cadastral datasets required for such an analysis were scanned and georeferenced cadastral map sheets, vectorized cadastral map, and vectorization reports. The proposed methodology was tested on three cadastral municipalities in Croatia, namely Dol, Postira, and Stobreč. A detailed analysis of each individual inconsistency showed that the inconsistencies were caused not only by the maintenance errors but also by other processes that affected the cadastral datasets throughout their lifetime.

Inconsistencies in Cadastral Boundary Data—Digitisation and Maintenance

“…In addition, the separate maintenance of two databases, the cadastral spatial database and the land registry database, resulted in numerous inconsistencies between the two databases, such as a cadastral parcel being updated (divided) in the administrative part but not in the graphical part, mismatch on numeration of cadastral parcels, inconsistencies in the data on cadastral parcel area (one data on parcel area in the land title certificate, another data on parcel area in the graphical part) etc. [24,25]. These inconsistencies were one more reason to start harmonising process between the two databases.…”

“…As a rule, there are inconsistencies between cadastral and land registry data [24,25], mainly due to unclear definitions of attributes or duplication of attributes. Cadastral data, together with attributes generated from geometry, should be part of the cadastre and not duplicated in the land registry [3].…”

“…The conversion of the cadastre from paper-based to digital data made it possible to better identify inconsistencies between the cadastral data and the land register [24,25]. These discrepancies usually concerned the common attributes of the cadastre and the land register, such as the parcel numbers (updated in the cadastral map but not in the land register, or vice versa) and the differences in the area (the area calculated from the cadastral map differs from the area in the land register document) [24,26].…”

Review of Land Administration Data Dissemination Practices: Case Study on Four Different Land Administration System Types

“…The scale according to which the cadastral map was developed is noted in the Cadastral Map Copy in Croatia and in Title Plan in England. Such information might be of great importance, as the era of survey may be determined from it [36]. The following attribute identified in the graphical representation excerpts of parcels is the notation of District or Municipality in which the parcel is situated.…”

Coherence of Cadastral Data in Land Management—A Case Study of Rural Areas in Poland

“…The coherence between the state of space at the plot level in public documents and the actual situation in the field is essential for an increase in consumer confidence and trust and affects the decision quality [1][2][3]. The technical reliability of cadastral data is also a condition of the legal security of boundaries [4][5][6][7]. Effective data verification and regular updating are essential in land management [6][7][8], although it is difficult given the amount of accumulated data [4,[9][10][11][12].…”