利用全探索性因子分析(t-efa)作为侦探模型的标定技术

I. E. Ayazli
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引用次数: 0

摘要

摘要信息技术的发展使动态和复杂的城市形式成为可能,自1990年代以来已经开展了若干研究。基于元胞自动机的城市增长仿真模型SLEUTH是仿真模型中最著名的一种。标定是模型创建的最重要的阶段,分为试验、标定、预测三个阶段。校准完成得越精确,模型生成的精度就越高。已经开发了几种方法用于校准步骤,其中生长系数值是通过度量来计算的。该研究旨在调查全探索性因子分析(T-EFA)技术的成功,该技术提供了使用13个指标,在快速增长的定居点使用高分辨率数据。在此背景下,伊斯坦布尔的Sancaktepe区被选为研究区域,并生成了2050年的模拟模型。所得结果为T-EFA方法在不同研究中的应用提供了良好的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
USING THE TOTAL EXPLORATORY FACTOR ANALYSIS (T-EFA) AS A CALIBRATION TECHNIQUE FOR SLEUTH MODEL
Abstract. Developments in information technologies (IT) allow to modelling dynamic and complex form of cities and several studies have been implemented since 1990s. The cellular automata based urban growth simulation model, SLEUTH is the most well-known one among the simulation models. Calibration is the most important stage of the model created in three stages such as test, calibration, prediction. The more precise the calibration is completed, the more accurate the model generates. Several methods have been developed for the calibration step in which growth coefficients values are calculated by metrics. The study aims to investigate success of the Total Exploratory Factor Analysis (T-EFA) technique, which provides using the 13 metrics all together, in rapid grown settlement areas using high resolution data. In this context, the Sancaktepe district of Istanbul was selected as the study area and a simulation model was generated for the year 2050. The obtained results are promising to apply the T-EFA method in different studies.
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