Following the Fall of Constantinople on 29 May 1453, many Greeks sought better employment and education opportunities by leaving for the West, particularly Italy, Central Europe, Germany and Russia. Greeks are greatly credited for the European cultural revolution, later called, the Renaissance. In Greek-inhabited territory itself, Greeks came to play a leading role in the Ottoman Empire, due in part to the fact that the central hub of the empire, politically, culturally, and socially, was based on Western Thrace and Greek Macedonia, both in Northern Greece, and of course was centred on the mainly Greek-populated, former Byzantine capital, Constantinople. As a direct consequence of this situation, Greek-speakers came to play a hugely important role in the Ottoman trading and diplomatic establishment, as well as in the church. Added to this, in the first half of the Ottoman period men of Greek origin made up a significant proportion of the Ottoman army, navy, and state bureaucracy, having been levied as adolescents (along with especially Albanians and Serbs) into Ottoman service through the devshirme. Many Ottomans of Greek (or Albanian or Serb) origin were therefore to be found within the Ottoman forces which governed the provinces, from Ottoman Egypt, to Ottomans occupied Yemen and Algeria, frequently as provincial governors.
The most obvious link between modern and ancient Greeks is their language, which has a documented tradition from at least the 14th century BC to the present day, albeit with a break during the Greek Dark Ages from which written records are absent (11th- 8th cent. BC, though the Cypriot syllabary was in use during this period). Scholars compare its continuity of tradition to Chinese alone. Since its inception, Hellenism was primarily a matter of common culture and the national continuity of the Greek world is a lot more certain than its demographic. Yet, Hellenism also embodied an ancestral dimension through aspects of Athenian literature that developed and influenced ideas of descent based on autochthony. During the later years of the Eastern Roman Empire, areas such as Ionia and Constantinople experienced a Hellenic revival in language, philosophy, and literature and on classical models of thought and scholarship. This revival provided a powerful impetus to the sense of cultural affinity with ancient Greece and its classical heritage. Throughout their history, the Greeks have retained their language and alphabet, certain values and cultural traditions, customs, a sense of religious and cultural difference and exclusion (the word barbarian was used by 12th-century historian Anna Komnene to describe non-Greek speakers), a sense of Greek identity and common sense of ethnicity despite the undeniable socio-political changes of the past two millennia. In recent anthropological studies, both ancient and modern Greek osteological samples were analyzed demonstrating a bio-genetic affinity and continuity shared between both groups. There is also a direct genetic link between ancient Greeks and modern Greeks.
Roadway elevation data is critical for a variety of transportation analyses. However, it has been challenging to obtain such data and most roadway GIS databases do not have them. This paper intends to address this need by proposing a method to extract roadway elevation data from Google Earth (GE) for transportation applications. A comprehensive accuracy assessment of the GE-extracted elevation data is conducted for the area of conterminous USA. The GE elevation data was compared with the ground truth data from nationwide GPS benchmarks and roadway monuments from six states in the conterminous USA. This study also compares the GE elevation data with the elevation raster data from the U.S. Geological Survey National Elevation Dataset (USGS NED), which is a widely used data source for extracting roadway elevation. Mean absolute error (MAE) and root mean squared error (RMSE) are used to assess the accuracy and the test results show MAE, RMSE and standard deviation of GE roadway elevation error are 1.32 meters, 2.27 meters and 2.27 meters, respectively. Finally, the proposed extraction method was implemented and validated for the following three scenarios: (1) extracting roadway elevation differentiating by directions, (2) multi-layered roadway recognition in freeway segment and (3) slope segmentation and grade calculation in freeway segment. The methodology validation results indicate that the proposed extraction method can locate the extracting route accurately, recognize multi-layered roadway section, and segment the extracted route by grade automatically. Overall, it is found that the high accuracy elevation data available from GE provide a reliable data source for various transportation applications. 2b1af7f3a8