Derya Ozturk

IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, analytic hierarchy process, and ordered weighted average for decision analysis; ranking, rating, and pairwise comparison for weighting and linear scale transformation for standardization can be applied by using this tool. The maximum score and score range procedures can be used for linear scale transformation. In this article also an application of the GIS–MCDA to determine the flood vulnerability of the South Marmara Basin in Turkey is examined. To check the validity and reliability of the results, the flood vulnerability layer is compared with flood-affected areas.

Spatiotemporal Analysis of Shoreline Changes of the Kizilirmak Delta

ABSTRACT Ozturk, D.; Beyazit, I., and Kilic, F., 2015. Spatiotemporal analysis of shoreline changes of the Kizilirmak Delta. The detection of shoreline changes in coastal countries is critical for successful management and planning. Determining shoreline changes and investigating reasons behind uncontrolled changes ensure that the necessary precautions can be taken. This study focuses on determining temporal changes that have occurred on the shoreline of the Kizilirmak Delta, which is one of the most crucial wetlands protected by the Ramsar Convention in Turkey. Landsat-5 thematic mapper (TM) satellite images from 1987, 1998, 2002, 2007, and 2011 were used to determine temporal changes. The approach, which integrates band-ratioing and histogram-thresholding methods, was applied using the second, fourth, and fifth bands of the Landsat TM images. The shoreline change envelope (SCE), end point rate (EPR), and linear regression rate (LRR) methods were used to determine the shoreline changes. The SCE method detected a landward migration that occurred on the delta, where its maximum migration was 655.6 m between 1987 and 2011. During the same period, the maximum coastal change rate was estimated to be −27.4 m/y using the EPR method and −29.7 m/y using the LRR method. The maximum amount of erosion occurred near the river mouth. The results indicated that the dams built on the Kizilirmak River and close to the delta significantly affected these changes and that the spurs, which were built to prevent coastal erosion and provide partial protection, cannot fully prevent erosion.

Assessment of urban sprawl using Shannon’s entropy and fractal analysis: a case study of Atakum, Ilkadim and Canik (Samsun, Turkey)

AbstractUrban sprawl is one of the most important problems in urban development due to its negative environmental and societal impacts. Therefore, the spatial pattern of urban growth should be accurately analyzed and well understood for effective urban planning. This paper focuses on urban sprawl analysis in the Atakum, Ilkadim and Canik districts of Samsun, Turkey. In this study, urban sprawl was examined over a period of 24 years using Shannons entropy and fractal analysis based on remote sensing and Geographic Information System (GIS). The built-up areas in 1989, 2000 and 2013 were extracted from Landsat TM/ETM+/OLI images using the maximum likelihood classification method, and urban form changes in the 1989–2013 period were investigated. The Shannons entropy method was used to determine the degree of urban sprawl, and a fractal analysis method based on box counting was used to characterize the urban sprawl. The results show that Atakum, Ilkadim and Canik experienced important changes and have consid...

Geostatistical Approach for Spatial Interpolation of Meteorological Data

Meteorological data are used in many studies, especially in planning, disaster management, water resources management, hydrology, agriculture and environment. Analyzing changes in meteorological variables is very important to understand a climate system and minimize the adverse effects of the climate changes. One of the main issues in meteorological analysis is the interpolation of spatial data. In recent years, with the developments in Geographical Information System (GIS) technology, the statistical methods have been integrated with GIS and geostatistical methods have constituted a strong alternative to deterministic methods in the interpolation and analysis of the spatial data. In this study; spatial distribution of precipitation and temperature of the Aegean Region in Turkey for years 1975, 1980, 1985, 1990, 1995, 2000, 2005 and 2010 were obtained by the Ordinary Kriging method which is one of the geostatistical interpolation methods, the changes realized in 5-year periods were determined and the results were statistically examined using cell and multivariate statistics. The results of this study show that it is necessary to pay attention to climate change in the precipitation regime of the Aegean Region. This study also demonstrates the usefulness of the geostatistical approach in meteorological studies.