City and Regional Planning / Şehir ve Bölge Planlama

Permanent URI for this collectionhttps://hdl.handle.net/11147/4274

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Access Right: Closed AccessAuthor: search.filters.author.Tarhan, Çiğdem

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  • Conference Object
    Detection of Urban Change Using Remote Sensing and Gis: Izmir Case
    (Taylor and Francis Ltd., 2008) Tarhan, Çiğdem; Arkon, Cemal; Çelik, M.; Gümüştekin, Şevket; Tecim, V.
    This study is an example of how land use changes could be detected via high resolution remotely sensed data. In order to perform "change detection" IKONOS satellite images, belonging to 2001 and 2004, have been used. An automated Graphical User Interface (GUI) has been created for detection of environment. Different image enhancement techniques and a fuzzy inference system have been combined in the GUI. The detection results are classified according to some basic levels such as 20-50% and 70%. Additionally, four different change detection algorithms have been applied which are pixel-based, object based, feature based. These algorithms have been examined according to change detection levels with different image enhancement techniques. At the end of the study, the results have been compared.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Spatial Point Pattern Analysis of Lung Cancer in an Urban Area: Izmir Case
    (Taylor & Francis, 2013) Özkan, Sevim Pelin; Tarhan, Çiğdem; Eser, Sultan; Yakut, C.; Saygın, Ömür
    In health area, in order to conduct a reliable analysis of the diseases that threat public health and develop control strategies. This is required to investigate firstly how the disease are geographically distributed, secondly regions where disease is observed more dense, and thirdly their geo-statistical aspects. The aim of the study is to prepare spatially distribution map of the lung cancer cases in Izmir, Turkey, and are distributed on Izmir map via GIS. Spatial statistics are performed and the relations of geographical factors and the cancer data are discussed. Smart maps with tabular data and displaying cancer cases on a spatially distribution maps have been produced as end products. ArcGIS and Spatial Analyst module are used for the study.