Yazar "Gundogdu, Ismail Bulent" seçeneğine göre listele

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    CONSTITUTION OF HISTORICAL AND CULTURAL INVENTORY FOR TOURISM INFORMATION SYSTEMS-A CASE STUDY FROM MANAVGAT
    (INT SCIENTIFIC CONFERENCE SGEM, 2011) Esen, Omur; Gundogdu, Ismail Bulent; Corumluoglu, Ozsen
    Tourism has vital importance for Turkish economy as in other countries. Province of Antalya is one the most lively cities in Turkey in the context of tourism. Historical and cultural heritages must be officially registered and prevented from destructive effects of time. In this study, Manavgat district of Antalya has been chosen as application area. Historical data determined by the Museum of Side and data not in official records have been gathered by literature scanning. Officially unregistered data was coordinated by using Magellan Sportrak El GPS equipment. Both type of data was transferred into Arc GIS software. Photographs of two selected historical ruins (Emperor Vespianus Fountain and Temple of Apollon) were taken by Pretec DC 4311 digital camera. 3D data was obtained by processing the photographs by PhotoModeler software. This data was associated with Arc GIS software. Consequently, a study, which can be taken as an example for further studies, was accomplished.
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    A new approach for GIS-supported mapping of traffic accidents
    (ICE PUBLISHING, 2011) Gundogdu, Ismail Bulent
    The use of geographic information systems (GIS) is the most effective way of examining and evaluating the results of analyses which use a multitude of data and different criteria. GIS is a tool with which many types of data can be analysed and it can be used to evaluate traffic accidents and map out the most dangerous places or segments of road on a highway according to traffic accident data from previous years. In researching the reasons for traffic accidents, several statistical methods can be used to determine the most critical points, referred to as hot spots, where traffic accidents happen frequently. Traffic accident causes and consequences are not limited to the point at which the accident occurs. Since the hot spot concept was first used in accident analysis, many methods of detecting hot spots have been described in the literature. In this study, instead of using the classic methods of hot spot detection, the hot pieces (HPCS) method has been used to determine the critical stretches of road where the accidents happen. The probable hot spots (PRHS) process aims to anticipate the critical points. Both HPCS and PRHS have the same importance. Whereas HPCS evaluates the road in lengths to determine the dangerous zones, PRHS identifies risky candidate points which may become hot spots in the near future. The main purpose of the study was the analysis of traffic accidents which occurred in Konya, to identify causal factors and take action to reduce future accidents. To establish the feasibility of the project, data were collected on traffic accidents occurring on the highways and junctions of the central roads of Konya city during the last 10 years. Some reconstruction applications and temporal precautions based on statistical results and related prediction maps are suggested to prevent traffic accidents in Konya.
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    RASTER-VECTOR TRANSFORMATIONS ADD THE MODERN CARTOGRAPHIC STUDIES
    (INT SCIENTIFIC CONFERENCE SGEM, 2011) Esen, Omur; Gundogdu, Ismail Bulent
    Nowadays some novelties on computer technology and new softwares have exposed "modern cartography" term. Generally all existing data are recorded digital areas. At the study, raster /vector data transformations, obtaining of digital data, and evaluating and analyzing of new methods have been discussed and exemplified in detail. At the result, outcomes and suggestions of the applications will be illustrated.
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    Spatial analyst methods for urban planning
    (ACADEMIC JOURNALS, 2009) Gundogdu, Ismail Bulent
    In urban planning, the development of the city for the future must be controlled. Therefore, in the city planning phase, it is necessary to plan for all events, from meteorological conditions, weather pollution, and settling to traffic accidents, according to potential future requirements. Road maps produced using statistical methods must be the base products for city planning. This study develops methods to obtain maps to determine traffic hot zones in Konya, Turkey, by applying Spatial Analyst (SA) supported by Geographical Information Systems (GIS). In this study, unlike preceding studies, the aim is to determine new safe routes and zones with the help of GIS. Another, different aim is to map and determine graduated hot or safe zones using different criteria. Accident criteria (AC): AC1 is the number of mortalities criterion, AC2 is the number of injured people criterion, AC3 is the number of accidents with damage only criterion and AC4 is the total number of accidents criterion.
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    Usage of multivariate geostatistics in interpolation processes for meteorological precipitation maps
    (SPRINGER WIEN, 2017) Gundogdu, Ismail Bulent
    Long-term meteorological data are very important both for the evaluation of meteorological events and for the analysis of their effects on the environment. Prediction maps which are constructed by different interpolation techniques often provide explanatory information. Conventional techniques, such as surface spline fitting, global and local polynomial models, and inverse distance weighting may not be adequate. Multivariate geostatistical methods can be more significant, especially when studying secondary variables, because secondary variables might directly affect the precision of prediction. In this study, the mean annual and mean monthly precipitations from 1984 to 2014 for 268 meteorological stations in Turkey have been used to construct country-wide maps. Besides linear regression, the inverse square distance and ordinary co-Kriging (OCK) have been used and compared to each other. Also elevation, slope, and aspect data for each station have been taken into account as secondary variables, whose use has reduced errors by up to a factor of three. OCK gave the smallest errors (1.002 cm) when aspect was included.