Increasing population caused by migration from rural to urban leads the cities, whose ownership is primarily public, to spread over forest areas and agricultural lands in their periphery. Today, simulation models created by geospatial data mining (GDM) techniques are frequently used to model the effects of uncontrolled urban sprawl on land use/land cover (LULC) changes. However, most of these models have yet to consider the impact of ownership diversities. The study’s main purpose is to investigate the interactions and interdependencies between Spatiotemporal LULC changes and private land ownership and monitor the precipitous urban sprawl through simulation models created by GDM techniques. In this context, the Sancaktepe district of Istanbul, where the population growth is rapid and the LULC change is very excessive, was chosen as the study area. CORINE LULC data for 1990, 2000, and 2018 were used in the study. Two hybrid prediction models were produced for 2040 by integrating multi-layer perception (MLP) and support vector machine (SVM) algorithms with Markov Chains (MC) method. A base model was prepared with the intersection of these two to take protection precautions in the short and medium term. According to the results, it was determined by MLP that private land ownership significantly affects LULC. In addition, the pressure of urbanization on forests and agricultural lands, most of which are publicly owned, increases, and urban sprawl causes informal settlement.

中文翻译：

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调查时空土地利用/土地覆盖动态与私人土地所有权之间的相互作用

从农村迁移到城市造成的人口不断增加，导致主要为公有制的城市向周边的林区和农田蔓延。如今，通过地理空间数据挖掘 (GDM) 技术创建的模拟模型经常用于模拟不受控制的城市扩张对土地利用/土地覆盖 (LULC) 变化的影响。然而，大多数这些模型尚未考虑所有权多元化的影响。该研究的主要目的是调查土地利用和土地利用时空变化与私人土地所有权之间的相互作用和相互依赖性，并通过 GDM 技术创建的模拟模型监测城市急剧扩张。在此背景下，选择人口增长较快、土地利用和土地利用变化过大的伊斯坦布尔Sancaktepe区作为研究区。研究中使用了 1990 年、2000 年和 2018 年的 CORINE LULC 数据。通过将多层感知 (MLP) 和支持向量机 (SVM) 算法与马尔可夫链 (MC) 方法相结合，生成了 2040 年的两个混合预测模型。结合这两者的交叉点准备了一个基本模型，以便在短期和中期采取保护预防措施。根据结果​​，MLP 确定私人土地所有权显着影响土地利用和土地利用控制。此外，城市化对森林和农田（其中大部分为公有）的压力增加，城市扩张导致非正规住区。