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Öğe A Cartographic Analysis of Matrakci Nasuh's Miniatures(Taylor & Francis Ltd, 2019) Selvi, Huseyin Zahit; Keskin, Gaye BekirogluWithin Ottoman cartography, the maps of Piri Reis (1470-1553) are more widely known than the miniature maps of Matrakci Nasuh (c.1480-1564). The maps of Piri Reis are important in the history of marine cartography and Matrakci's miniatures are valuable in terms of landscape cartography. This paper examines the miniatures of Istanbul, Galata, Konya and Kutahya, which were designed by Matrakci Nasuh in his own style. Landmarks, such as mosques and towers, shown in the miniatures were compared with modern maps and Google Earth images. In addition, the miniatures were examined in terms of their planimetric and topological accuracy. The results indicate that the planimetric accuracy of the miniatures was poor, but their topological accuracy was good.Öğe Comparison of IRI_PLAS and IRI_2012 model predictions with GPS_TEC measurements in different latitude regions(Ist Nazionale Di Geofisica E Vulcanologia, 2017) Alcay, Salih; Oztan, Gurkan; Selvi, Huseyin ZahitThe International Reference Ionosphere (IRI) is an empirical model for providing ionospheric parameters, including Total Electron Content (TEC), electron density, electron and ion temperature etc., in the altitude range from 50 km to 2000 km. Since the IRI model is limited up to 2000 km, IRI_PLAS model, plasmasphere extension of the IRI model, was proposed by the researchers. This paper investigates the TEC prediction performance of IRI_PLAS and IRI_2012 models by comparing GPS TEC data, in different latitude regions for magnetically active and quiet days. TEC data over 9 International GNSS Service ( IGS) stations, located in different latitude regions, are used for the comparison. Evaluation of the diurnal results reveals good agreement with correlation coefficient >0.9 between GPS_TEC and empirical models for the quiet day irrespectively of the latitudinal data used. However, while the differences are not relatively large in most part of the active days, they reach high level, above 30 TECu, in some parts of the days.Öğe Detecting topographic database changes and updating 1:25.000 scale maps population class by changes(Taylor & Francis Ltd, 2023) Kalle, Fatih; Selvi, Huseyin Zahit; Bugdayci, IlkayFor rapid production of spatial data and topographic maps, map production systems should be transformed into a dynamic structure. Topographic map production system in Turkey, cartographic operations for each map are repeated in the same way, regardless of the amount of data updated in the geographic database. The implementation of similar actions on maps with very few changes is not time and cost effective. In this study, changes were determined by comparing the current and previous data from TOPODB and the resulting changes were integrated into the population class of 1:25.000 scale topographic maps in a third less time.Öğe Do Maps Contribute to Pupils' Learning Skills in Primary Schools?(Taylor & Francis Ltd, 2021) Bugdayci, Ilkay; Selvi, Huseyin ZahitWith the use of maps in different areas, a wide range of users exist who vary in their purposes and needs, according to their education level, age, cognitive level, and so on. Maps used by students in basic education need to be carefully designed and cartographers have important duties and responsibilities in designing maps according to the cognitive development levels of child users. An atlas design and production project entitled 'Atlas of Turkey for Elementary School' was carried out by the authors for the first stage of education. The aim of the study is to determine the contribution of the atlas to learning, reading and using maps. Thus, a questionnaire was applied to 494 students including 73 3rd grade (8-9 years) and 421 4th grade (9-10 years) students in four different schools. The results indicate that the use of the atlas increased the students' learning ability by an average of 40%.Öğe Landmark Orientation and Map Design for Pedestrians: Prototype of a Selcuk University Campus Area Pedestrian Navigation System(Iop Publishing Ltd, 2016) Selvi, Huseyin Zahit; Bildirici, I. Oztug; Ulugtekin, NeclaOrientation software produced today is generally designed for the navigation of cars. However, the navigation needs of pedestrians are different from those of drivers. The aim of this study is the design of a cartographic interface that supports the navigation of pedestrians in unfamiliar areas using landmarks and evaluation of this geo-mobile application by usability testing. In this study, an approach to landmark orientation based on the Voronoi diagram is proposed. Furthermore, the developed mobile application that uses this approach is explained in detail. The results of user tests are also given.Öğe Local geoid determination in strip area projects by using polynomials, least-squares collocation and radial basis functions(Elsevier Sci Ltd, 2015) Doganalp, Serkan; Selvi, Huseyin ZahitOrthometric heights are used in many engineering projects. However, the heights determined by the widely-used Global Navigation Satellite System (GNSS) are ellipsoid heights. Leveling measurements conducted with the purpose of determining the orthometric heights on points are quite arduous and time-consuming processes. To be able to use ellipsoid heights in engineering projects, their transformation to orthometric heights defined in the height datum of the region is necessary. Therefore, in terms of convenience and feasibility GNSS/levelling method is preferred in determining geoid heights. This method is based on the principle of transformation of ellipsoid heights to orthometric heights. In effect, the main purpose of the method can also be regarded as the estimation of geoid undulation values for the study area. During the estimation process, polynomial (surface, curve) models are generally used. Polynomial models produce meaningful results for points which are scattered uniformly on the study area. However, for strip areas where the points scatter along a route (road etc. projects), the accuracy of the geoid heights obtained from these models is low. Therefore, different estimation techniques have to be implemented in strip areas instead of polynomial models. In this study, interpolation methods used in determining the geoid undulation of a strip area were researched and the identification of the best suitable method for the area was examined. For this purpose, geoid undulation values were calculated with the help of least-squares collocation (LSC) and radial basis functions such as Multiquadric (MQ), Thin Plate Spline (TPS) along with polynomial models, and results were presented. According to the results, it was observed that TPS, MQ, LSC methods respectively yield better results compared to polynomial methods. (C) 2015 Elsevier Ltd. All rights reserved.Öğe SPATIAL ANALYSIS OF THE EFLATUNPINAR AND FASILLAR HITTITE MONUMENTS USING GIS(Univ Agean, Dept Mediterranean Stud, 2020) Selvi, Huseyin Zahit; Bozdag, Asli; Bozdag, Irfan; Karauguz, GungorHittite Empire (13th c. BC) preferred open-air temples, centered around the Tarhuntassa region and the Beysehir basin, which are estimated to be within the borders of the modern Konya province. The Eflatunpinar and Fasillar monuments are open-air temples in this region and they are still standing almost 2000 years although they are worn out. The Eflatunpinar monument was included in the temporary UNESCO World Heritage list in 2014. Fasillar monument, the depictions of mountain god and lions stand out culturally. The aim of this study is to investigate the reasons for the site selection of the Eflatunpinar and Fasillar monuments while also taking into account the lifestyle and the settlement forms of the Hittites. In the research process, the features of the monuments and their spatial relations with their surroundings and with each other were analysed through maps with the help of Geographic Information Systems (GIS). It was determined that the reasons behind the site selection of these monuments were the land use structure, water and the thought to sacralize it, and the need to reflect the magnificence of the political power and possess strategic transportation routes.Öğe Using cluster analysis methods for multivariate mapping of traffic accidents(Sciendo, 2018) Selvi, Huseyin Zahit; Caglar, BurakMany factors affect the occurrence of traffic accidents. The classification and mapping of the different attributes of the resulting accident are important for the prevention of accidents. Multivariate mapping is the visual exploration of multiple attributes using a map or data reduction technique. More than one attribute can be visually explored and symbolized using numerous statistical classification systems or data reduction techniques. In this sense, clustering analysis methods can be used for multivariate mapping. This study aims to compare the multivariate maps produced by the K-means method, K-medoids method, and Agglomerative and Divisive Hierarchical Clustering (AGNES) method, which among clustering analysis methods, with real data. The results from the study will suggest which clustering methods should be preferred in terms of multivariate mapping. The results show that the K-medoids method is more appropriate in terms of clustering success. Moreover, the aim is to reveal spatial similarities in traffic accidents according to the results of traffic accidents that occur in different years. For this aim, multivariate maps created from traffic accident data of two different years in Turkey are used. The methods are compared, and the use of the maps produced with these methods for risk management and planning is discussed. Analysis of the maps reveals significant similarities for both years.Öğe Using cluster analysis methods for multivariate mapping of traffic accidents(Sciendo, 2018) Selvi, Huseyin Zahit; Caglar, BurakMany factors affect the occurrence of traffic accidents. The classification and mapping of the different attributes of the resulting accident are important for the prevention of accidents. Multivariate mapping is the visual exploration of multiple attributes using a map or data reduction technique. More than one attribute can be visually explored and symbolized using numerous statistical classification systems or data reduction techniques. In this sense, clustering analysis methods can be used for multivariate mapping. This study aims to compare the multivariate maps produced by the K-means method, K-medoids method, and Agglomerative and Divisive Hierarchical Clustering (AGNES) method, which among clustering analysis methods, with real data. The results from the study will suggest which clustering methods should be preferred in terms of multivariate mapping. The results show that the K-medoids method is more appropriate in terms of clustering success. Moreover, the aim is to reveal spatial similarities in traffic accidents according to the results of traffic accidents that occur in different years. For this aim, multivariate maps created from traffic accident data of two different years in Turkey are used. The methods are compared, and the use of the maps produced with these methods for risk management and planning is discussed. Analysis of the maps reveals significant similarities for both years.
