Exploring relationships of an urban system: The case of Beyoglu
A. Sokmenoglu, Gülen Çağdaş, I. Sevil Sariyildiz · Research Repository (Delft University of Technology) · 2012
This paper introduces an ongoing research project addressing multi-dimensional and relational complexity of urban features by applying data mining as a methodology of knowledge discovery in urban feature analysis. A methodology is developed for formulation and analysis of an urban database by the complementary application of GIS (Geographical Information Systems) and data mining techniques in order to identify patterns and relationships among multiple urban attributes. The urban database is built upon real and official data of Beyoglu, a historical neighborhood of Istanbul. The paper also includes a specific application of knowledge discovery methodology into Beyoglu urban feature database. BACKGROUND With all its dimensions, urban is the most fundamental and complex work, performance, consequence of human kind. Not an object but a phenomenon extending in time and space both physically and socially. Thus the study of