Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/2959
Title: | Towards a full automation of land consolidation projects: Fast land partitioning algorithm using the land value map | Authors: | Janus, Jaroslaw Ertunç, Ela |
Keywords: | Land consolidation Land reallocation Land valuation Land partitioning Fragmentation Valuation Support Reallocation System Impact Gis Productivity Efficiency Ownership |
Issue Date: | 2022 | Publisher: | Elsevier Sci Ltd | Abstract: | One of the key stages of land consolidation is land reallocation, over the course of which the land of individual owners is pre-allocated to the blocks into which the project area is divided. The key to such an assignment is a set of adopted criteria, the most important of which are the effects of interviewing landowners. The problem of land partitioning is solved either as an optimisation issue in view of the assumed criteria, or as a technical problem related to the automation of the division of a block into new plots with an accuracy sufficient to create the consolidation project documentation and the accuracy requirements of cadastral databases. The article presents an algorithm of an analytical way of dividing a block of any differentiation of the land's value and any shape of the block itself, according to the adopted direction of the course of the new borders. The algorithm may be applied in cases, in which the plot boundaries are parallel to each other and run across the entire block. The speed of the algorithm enables dynamic determination of the plot boundaries in real time. | URI: | https://doi.org/10.1016/j.lusepol.2022.106282 https://hdl.handle.net/20.500.13091/2959 |
ISSN: | 0264-8377 1873-5754 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
---|---|---|---|
1-s2.0-S026483772200309X-main.pdf Until 2030-01-01 | 5.01 MB | Adobe PDF | View/Open Request a copy |
CORE Recommender
WEB OF SCIENCETM
Citations
3
checked on Jan 30, 2023
Page view(s)
28
checked on May 22, 2023
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.