Kültürel miras olarak da nitelendirilen arkeolojik eserlerin korunması ve kayıt altına alınarak gelecek nesillere ulaştırılması insanlığın ortak görevi olarak kabul edilebilir. Kültürel mirasın belgelenmesinde, öncelikle tarihi eserlerin mevcut durumu belirlenmelidir. Bunun için literatürde çeşitli teknikler kullanılmaktadır. Son zamanlarda teknolojik gelişmelere paralel olarak kültürel mirasın dokümantasyonu çalışmalarında fotogrametri tekniği yoğun olarak kullanılmaya başlanmıştır. Çoğunlukla harita ve sayısal yükseklik modeli gibi topografik ürünlerin elde edilmesi amacıyla kullanılan fotogrametri, iki boyutlu fotoğraflardan üç boyutlu bilgi sağlamasından dolayı farklı disiplinlere de katkıda bulunmaktadır. Bu sebeple arkeolojik eserlerin sayısal olarak dokümantasyonu çalışmalarda ciddi avantajlar sağlamaktadır. Bu çalışmada, Harran Ören Yeri kazı alanında bulunan tahrip olmuş bazı kabartma yazı örnekleri üç boyutlu olarak modellenmiş ve yazılar için sayısal yüzey modeli oluşturularak okunabilen harf ve rakamlar kayıt altına alınmıştır.
Multi-representation databases (MRDBs) are used in several geographical information system applications for different purposes. MRDBs are mainly obtained through model and cartographic generalizations. Simplification is the essential operator of cartographic generalization, and streams and lakes are essential features in hydrography. In this study, a new algorithm was developed for the simplification of streams and lakes. In this algorithm, deviation angles and error bands are used to determine the characteristic vertices and the planimetric accuracy of the features, respectively. The algorithm was tested using a high-resolution national hydrography dataset of Pomme de Terre, a sub-basin in the USA. To assess the performance of the new algorithm, the Bend Simplify and Douglas-Peucker algorithms, the medium-resolution hydrography dataset of the sub-basin, and Töpfer's radical law were used. For quantitative analysis, the vertex numbers, the lengths, and the sinuosity values were computed. Consequently, it was shown that the new algorithm was able to meet the main requirements (i.e., accuracy, legibility and aesthetics, and storage).
ABSTRACT:Turkey is a rich country in historical monuments. In the district of Harran, Şanlıurfa province, the work was done, an ancient city and many other ruins beside the world's first university can be found. Considering the climate and sensitive structure of the studied region 3D modeling is a suitable technique. By means of such works reconstruction, that can show us the former state of the region will be enabled at a later point of time. In case the historical site would be destroyed in any way, it will be useful for recording the work as a visual and digital resource. Then, when the work has to be restored, the data can be used as a base and realistic restoration projects could be carried out.
Purpose
The purpose of this paper is to examine the real estate sales in Turkey on a district basis to reveal the current state of real estate sales and any meaningful changes in the last period. The real estate market is important and is an indicator of the country’s general economic health, as real estate is seen as an investment.
Design/methodology/approach
As a powerful method of spatial analysis and evaluation, geographic information systems have been used to examine real estate data in both spatial and temporal ways. In this study, 14 years of sales data covering the years 2004 to 2017 obtained from government agencies on a district basis were evaluated using spatiotemporal methods. Several maps were produced using Getis-Ord Gi* and local Moran’s I indices, which showed the spatiotemporal change of sales and sales rates.
Findings
When looking at the maps, provinces such as Istanbul, Ankara, Izmir, Antalya and their surrounding districts have buoyant real estate markets compared to the other side of the country. Real estate sales are more stagnant in the eastern and northern parts of the country. In addition, the authors found that the growth rate of annual average real estate sales was approximately seven times higher than the annual average population growth.
Originality/value
This spatiotemporal study, which presents 14 years of performance data of the real estate market and, by extension, the economic situation, also highlights the regions that stand out for investment planning throughout the country. The results of spatiotemporal analysis also present a new way of real estate market visualization using maps with well-designed categorizations.
Şanlıurfa is an important archaeological and cultural region where people have left permanent artifacts dating back to 12 thousand years. For this reason, it is very important to record and document the artifacts in this region where cultural heritage is very intense. With the developing technology, it has become easier to document historical artifacts and to transfer them to future generations. In this direction, historical artifacts can be recorded easily and accurately with the photogrammetry technique, which is one of the important tools offered by developing technology. With this method, a detailed model of the historical artifact can be created and recorded in the digital environment. In this study, a point cloud and a 3D model of a carving stone, located in the region known as Şuayip City, located 80 km south of Şanlıurfa, was produced by photogrammetry, and the details of the carving stone were revealed. At the result of the study, the carving on the stone was revealed by using various filtering techniques.
Today, the amount and variety of spatial data have increased dramatically. In addition, the web has made it easier to disseminate and share this kind of data. Therefore, spatial data integration and interoperability have gained more importance. Spatial data are collected from different sources and often heterogeneous in terms of the levels of detail and the points of view. To able to meet the demands of different spatial applications, multi-source and heterogeneous spatial datasets need to be integrated as well as the consistency of these datasets needs to be maintained. In this context, multirepresentation spatial database (MRSDB) paradigm has been suggested by researchers. However, the heterogeneity constitutes a significant barrier in this respect and hence the implementations have so far been remained within a rather narrow scope. In this article, it is mainly discussed about the possible contributions of basic methods and technologies of spatial semantics such as ontologies, semantic web and linked data to the data integration for creating a MRSBD. Some examples are also given to illustrate the concept.
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