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Finding least fragmented holdings with factor analysis and a new methodology: a case study of kargılı land consolidation project from Turkey

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dc.contributor.authorArslan, F.
dc.contributor.authorDeğirmenci, H.
dc.contributor.authorRasva, Marii
dc.contributor.authorJürgenson, Evelin
dc.contributor.departmentEstonian University of Life Sciences. Institute of Forestry and Rural Engineering. Chair of Geomaticseng
dc.date.accessioned2019-04-23T10:47:13Z
dc.date.available2019-04-23T10:47:13Z
dc.date.issued2019
dc.descriptionArticleeng
dc.description.abstractLand fragmentation (LF) is a problem restrain agricultural activities and decrease mechanization level, production. Land consolidation (LC) projects are done in the World as well as Turkey to solve LF issues. Researchers created indicators to measure land fragmentation which is important to see success level of LC projects. The use of these indicators is controversial or not accurate. The core aim of the present study is to find new land fragmentation index and to find least fragmented holding with factor analysis using the other indicators which are Simmons, Januszevski, number of parcels, Shmook and Igbozurike besides new land fragmentation index. Kargılı Village land consolidation project in Mersin, Turkey was chosen as a material. Cadastral data before land consolidation, was used to calculate value of indicators, where number of parcels was 932, total area was 1,741.9 ha, the average parcel size was 1.9 ha, number of holdings was 542 and the average parcel size was village had 932 parcels. Data processing were performed with ArcMAP 10.6.1 and SPSS. A total of 18 holdings were identified randomly as sample size which were sufficient to carry out factor analysis including principle component to rank holdings (P < 0.01).As a result, new land fragmentation index found correlated with others (P < 0.01) and ranking according to new indicator performed better than ranking considering all indicators. In this context, it is possible to use new land fragmentation indicator to determine priority areas for land consolidation.eng
dc.identifier.issn1406-894X
dc.identifier.publicationAgronomy Research, 2019, vol. 17, no. 3, pp. 683–693eng
dc.identifier.urihttp://hdl.handle.net/10492/4691
dc.identifier.urihttps://doi.org/10.15159/ar.19.052
dc.rights.holderCopyright 2009 by Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry. No part of this publication may be reproduced or transmitted in any form, or by any means, electronic or mechanical, incl. photocopying, electronic recording, or otherwise without the prior written permission from the Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry.eng
dc.subjectGISeng
dc.subjectfactor analysiseng
dc.subjectLand consolidationeng
dc.subjectLand fragmentation indicatorseng
dc.subjectarticleseng
dc.titleFinding least fragmented holdings with factor analysis and a new methodology: a case study of kargılı land consolidation project from Turkeyeng
dc.typeArticleeng

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2019, Vol. 17, No. 3