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ÖgeTailoring a geomodel for analyzing an urban skyline(Science Direct, 2012-03-30)A skyline is a unique fingerprint of a city. The mentalities, diversity, and cultures in a city can often be perceived from its skyline. Istanbul's iconic skyline forms an essential part of the character and appearance of this mega city, so much so that Istanbul's historical silhouette is instantly recognizable; it is a unique asset that is important to protect. Impressive minarets and domes dominate the skyline of Istanbul. On the other hand, Istanbul's skyline has changed dramatically over the last decade since land has become increasingly an opportunity for investment and building of taller structures has become one way to multiply this profit. For those who focus on the esthetics of cities, the analysis of the skyline is not a recent phenomenon. However, skyline extraction and analysis has not usually been available in current GIS functionality. This article investigates the esthetics the urban skyline and its transformation due to high-rise buildings. It does this by tailoring a geomodel within a GIS environment. It is believed that the geomodel developed in this study will form a solid foundation which can be applied to many of the urban skylines and urban areas in Turkey and other cities of the world.
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ÖgeDisaster management with cloud-based geographic information systems : site selection of landfill areas after Kahramanmaraş, Türkiye earthquake sequence(Springer, 2024)On February 6, 2023, the earthquakes centered on Kahramanmaraş-Pazarcık and Kahramanmaraş-Elbistan affected several provinces in the region and generated a vast amount of demolition waste. This study aims to develop a site selection model for the most suitable landfill areas after the earthquake using open-source Geographic Information Systems (GIS) software and the Best-Worst Method (BWM). First, the study identifies decision criteria with a Delphi expert panel. Next, it determines the weights using the BWM based on pairwise comparison. Spatial data of the determinants were obtained from open data portals, and proximity, overlay, and slope analyses were carried out for the disaster region. Combining the output data layer of each criterion, a suitability map of the landfills was produced. As a result, 36,2% (29,826 kms square) of the study area was classified as suitable and very suitable. In this study, a cloud GIS-based decision support platform was developed to act quickly and initiate recovery processes within the scope of disaster management of the destructive earthquake. The suitability map and potential sites were shared with the responsible teams in the disaster area so that the potential sites could be displayed on the map and the suitable areas could be navigated on appropriate routes. The findings of the study revealed that the use of open data and cloud GIS framework in the disaster management process enables quick, reliable, and cost-effective actions in the immediate aftermath of disasters.