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Geo-Analysis of Compatibility Determinants for Data in the Land and Property Register (LPR)

1
Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland
2
Geodesy Services, 18-400 Łomża, Poland
*
Author to whom correspondence should be addressed.
Geosciences 2019, 9(7), 303; https://doi.org/10.3390/geosciences9070303
Received: 13 June 2019 / Revised: 4 July 2019 / Accepted: 8 July 2019 / Published: 10 July 2019
(This article belongs to the Special Issue Geodesy and Geomatics Engineering)
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Abstract

The development of modern technologies and accessibility of data on space and the natural environment has led to their increasing use for socio-economic purposes. Data users believe that these systems reflect the reality in the field. This applies in particular to databases used for construction investment projects or as the basis for calculations of financial obligations, e.g., taxes. The Land and Property Register (LPR), which is part of the Land Administration System, serves a number of economic and legal purposes. This geo-system often contains low-quality information regarding the technical potential of modern data acquisition methods and is continuously updated. The authors propose a two-step analysis of data contained in the LPR. The first step identified the sources of discrepancies between data from the LPR and the reality in the field. The second step emphasises the importance of the factors under analysis, which include both a plot’s geometric parameters, the geo-location features (associated with the natural environment elements) and factors associated with the supplementary data acquisition methods. The results show that sufficient quality data play the main role in achieving compatibility between the data in the Land and Property Register and with reality. Studies conducted so far have dealt with data on a global scale and were based on in situ data and focused on the specific values of each plot under analysis. View Full-Text
Keywords: land and property register (LPR); updating data; geo-localization; source of data information; environmental factors; hedonic regression model land and property register (LPR); updating data; geo-localization; source of data information; environmental factors; hedonic regression model
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Kocur-Bera, K.; Stachelek, M. Geo-Analysis of Compatibility Determinants for Data in the Land and Property Register (LPR). Geosciences 2019, 9, 303.

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