The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-4/W3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W3-2020, 85–88, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-85-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W3-2020, 85–88, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-85-2020

  23 Nov 2020

23 Nov 2020

USING THE TOTAL EXPLORATORY FACTOR ANALYSIS (T-EFA) AS A CALIBRATION TECHNIQUE FOR SLEUTH MODEL

I. E. Ayazli I. E. Ayazli
  • Sivas Cumhuriyet University, Engineering Faculty, 58140 Sivas, Turkey

Keywords: Geo-simulation, Cellular Automata, Exploratory Factor Analysis, Urban Growth

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.