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首页> 外文期刊>Agronomy Research >Finding least fragmented holdings with factor analysis and a new methodology: a case study of karg?l? land consolidation project from Turkey
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Finding least fragmented holdings with factor analysis and a new methodology: a case study of karg?l? land consolidation project from Turkey

机译:通过因子分析和新方法找到分散最少的资产:以karg?l?为例的案例研究土耳其的土地整理项目

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摘要

Land 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. Karg?l? 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 includingn 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.
机译:土地碎片化(LF)是限制农业活动并降低机械化水平,降低产量的问题。世界各地以及土耳其都在进行土地整理(LC)项目,以解决LF问题。研究人员创建了衡量土地分割的指标,这对于了解LC项目的成功水平很重要。这些指标的使用存在争议或不准确。本研究的核心目标是寻找新的土地分割指数,并通过因子分析使用除新的土地分割指数以外的其他指标,包括席梦思,亚努谢夫斯基,地块数量,Shmook和伊格博祖里克,找到最小分割的持有量。卡格?选择了土耳其梅尔辛的乡村土地整理项目。土地整理前的地籍数据用于计算指标值,其中包裹数量为932,总面积为1,741.9公顷,平均包裹大小为1.9公顷,拥有土地的数量为542,村庄的平均包裹大小为932包裹。数据处理使用ArcMAP 10.6.1和SPSS进行。随机确定了18个土地样本作为样本量,足以进行包括主要成分的因素分析(P <0.01),结果发现新的土地破碎指数与其他土地分割指数相关(P <0.01)和排名根据新指标,其效果要好于考虑所有指标的排名。在这种情况下,可以使用新的土地分割指标来确定土地整合的优先领域。

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