Use of GLCM Entropy Parameter in the Analysis of Urban Function Spaces; Antalya City Example

Abstract

Urban spaces are concentrated in certain functions to meet the needs and desires of the urbanites. However, for each city, different functions and the value of the space to meet these functions are different. In this study, spatial entropy analysis of Antalya, the most important tourism city of our country, was carried out through GLCM Entropy analysis, one of the texture parameter methods. In the study, firstly, function areas and function spaces were determined. A 5-meter resolution satellite image for 2022 was obtained to perform texture parameter analyses. The satellite image was scaled to include the whole city and urban spaces with QGIS software, and then the general entropy values of the city were calculated with Definies software. Then, selected urban spaces with different functions were extracted from the satellite image and subjected to entropy analyses. According to the results obtained, the areas with the highest entropy difference for Antalya city were determined as airport and harbour, which are transportation and trade places. For Antalya, which has poor road access to the world due to geographical reasons, it is seen as an important determination in terms of analysis that the places representing air and sea connection come to the fore.