Yazar "Durduran, S. Savas" seçeneğine göre listele

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    ANALYSIS OF LAND-USE CHANGE IN DENIZLI CITY CENTER THROUGH GEOGRAPHICAL INFORMATION SYSTEMS
    (Parlar Scientific Publications (P S P), 2018) Temiz, Fatih; Bozdag, Ash; Durduran, S. Savas
    The planning of land-use in urban areas is important in terms of sustainable urbanization, rational use of natural resources, and enhancing the quality of life. Land-use changes should be monitored and the problems should be settled in congruence with the process, especially during the urban planning process. The satellite images and Geographical Information Systems (GIS) are employed as crucial application instruments in monitoring and analyzing this process respectively. In the present study, Denizli city, which is transformed by the industrialization process and the planning experiences in the past, is addressed. The land-use changes in Denizli city center between 1974 and 2015 are analyzed by (GIS) using topographical maps and satellite images. In the conclusion section, the planning strategies to be pursued by local governments according to the land-use change of Denizli during the re-planning process are discussed.
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    GIS INVESTIGATION OF SITE SELECTION OF HISTORICAL STRUCTURES: THE CASE OF KNIDOS (DATCA, TURKEY)
    (Univ Agean, Dept Mediterranean Stud, 2017) Gumus, M. Gizem; Durduran, S. Savas; Bozdag, Asli; Gumus, Kutalmis
    In archaeological research, the collection, storage, query and analysis of data is conducted with the help of the Geographical Information System (GIS) in order to acquire the most accurate information about the area. Spatial analyses made with the help of GIS in ancient cities contribute to revealing the social, cultural and survival features of these cities. The aim of this study is to examine the rationale for spatial site selection in Knidos ancient city, which is in the Turkish province of Mugla and which has different city planning with its geographical features. For this reason, firstly, a digital elevation model that reveals the topography of the city was constituted. Then, the database design and spatial analyses (slope, aspect and visibility) were conducted in line with the aim of the study in ArcGIS 10.2 Software. The site selection rationale for structures was evaluated through spatial analyses (slope, aspect and visibility) in Knidos ancient city. Site selection rationales of the historical structures have been ascertained related to the preferred planning form of the period (grille planning), the geography of the city, the functions given to the historical structures, the visibility of structures, the ports which were as a focal point of the city, the ideological point of view and the reflection power of the ruler's.
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    Monitoring coastline change using remote sensing and gis technology: A case study of Burdur Lake, Turkey
    (Parlar Scientific Publications, 2017) Temiz, Fatih; Bozdag, Asli; Durduran, S. Savas; Gumus, M. Gizem
    There are wetlands, wildlife protection areas and natural sites that are important for the ecosystem that hosts numerous living creatures in Turkey. Burdur Lake Watershed, located in the lakes region of the south west of Anatolia, is also one of the watersheds of Turkey which has significance in terms of agriculture, biodiversity and environmental impact values. Furthermore, Burdur Lake is the largest lake of this region and among deepest lakes of Turkey. In recent years, the lake has shrunk due to adverse effects of urbanization, agricultural activities, industrial activities and forest industry activities while its volume also has been observed to decrease. It is necessary to evaluate this change and develop solution proposals for sustainable development thereof. The main aim of this study is to analyze the temporal variation of the Burdur Lake coastal boundary using GIS and Remote Sensing (RS) applications. For determination of the temporal change of land use of Lake Burdur; Landsat satellite images of 1985, 2000 and 2015 belonging to Burdur Lake were used and a SWOT analysis for Burdur watershed was conducted in order to determine the causes of these changes. Strengths, weaknesses, threats and opportunities of the region have been determined thanks to this analysis and required suggestions have been made as to the issues identified in this analysis. © by PSP.
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    MONITORING COASTLINE CHANGE USING REMOTE SENSING AND GIS TECHNOLOGY: A CASE STUDY OF BURDUR LAKE, TURKEY
    (Parlar Scientific Publications (P S P), 2017) Temiz, Fatih; Bozdag, Asli; Durduran, S. Savas; Gumus, M. Gizem
    There are wetlands, wildlife protection areas and natural sites that are important for the ecosystem that hosts numerous living creatures in Turkey. Burdur Lake Watershed, located in the lakes region of the south west of Anatolia, is also one of the watersheds of Turkey which has significance in terms of agriculture, biodiversity and environmental impact values. Furthermore, Burdur Lake is the largest lake of this region and among deepest lakes of Turkey. In recent years, the lake has shrunk due to adverse effects of urbanization, agricultural activities, industrial activities and forest industry activities while its volume also has been observed to decrease. It is necessary to evaluate this change and develop solution proposals for sustainable development thereof. The main aim of this study is to analyze the temporal variation of the Burdur Lake coastal boundary using GIS and Remote Sensing (RS) applications. For determination of the temporal change of land use of Lake Burdur; Landsat satellite images of 1985, 2000 and 2015 belonging to Burdur Lake were used and a SWOT analysis for Burdur watershed was conducted in order to determine the causes of these changes. Strengths, weaknesses, threats and opportunities of the region have been determined thanks to this analysis and required suggestions have been made as to the issues identified in this analysis.
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    REAL TIME DIGITAL AND META DATA COLLECTION IN FORMING URBAN INFORMATION SYSTEM: CASE STUDY ELAZIG (TURKEY)
    (STEF92 TECHNOLOGY LTD, 2016) Kisaaga, M. Gizem; Durduran, S. Savas; Gumus, Kutalmis
    In general, the cost of field study and time spend are high in the process of collecting data for urban information system. The precision and accuracy of the data varies depending on the complexity of the conditions. Furthermore, data standardization is also a problem. To bring the data into the same standard demands extra cost. Therefore, various problems become apparent concerning extra time spend, cost and workforce by the process of the data collected from the field. In this study, advantageous and disadvantageous of use of a tablet computer in real time data collection compared to conventional printed documents, problems faced during the field study and possible recommendations for these problems were to be discussed. This study concerned the urban information system case of Elazig, Turkey where an application by Mapcodex Mapland installed in a tablet with windows operating system was used for real time GIS-based data collection, and the results were presented. This study also aimed at compensation of the gaps experienced in the process of data collections in existing current city information system and giving more flexible recommendations to the problems faced.
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    Using machine learning algorithms for predicting real estate values in tourism centers
    (Springer, 2023) Alkan, Tansu; Dokuz, Yesim; Ecemis, Alper; Bozdas, Asli; Durduran, S. Savas
    Along with the development of technology in recent years, artificial intelligence (machine learning) techniques that perform operations, such as learning, classification, association, optimization, and prediction, have started to be used on data on real estate according to the criteria affecting the value. Using artificial intelligence (machine learning) techniques, valuation processes are performed objectively and scientifically. In this study, machine learning techniques were employed to balance the real estate market, affected by the tourism sector in Alanya district of Antalya province, Turkey, and examine changes in value objectively and scientifically. First, the criteria affecting the real estate value were determined as structural and spatial, and data on real estate were obtained from the online real estate website. Then, the values of the real estate in the selected application area were predicted using machine learning algorithms (k-nearest neighbors, random forest, and support vector machines). Unlike studies in the literature, algorithm-based valuation using machine learning algorithms was performed instead of mathematical modeling. When analyzed for performance metrics, the best result was achieved with the support vector machines algorithm (0.73). Objective methods should be used to balance the exorbitant differences between real estate values, to regulate market conditions and to carry out a real estate valuation process free from speculative effects in coastal areas where tourism factor is effective. This study indicated the applicability of algorithm-based machine learning techniques in real estate valuation.