Linkgyűjtemény

Ezen az oldalon olyan hasznos linkeket kínálunk az érdeklődőknek, amelyek a római gazdaságtörténet, történeti földrajz és ökológia témakörét érintik. Érdemes ellátogatni ezekre a honlapokra, mivel legtöbbjükben a kutatáshoz szükséges bibliográfiák és adatbázisok is hozzáférhetők, méghozzá ingyenesen!

Oxford Roman Economy Project (OXREP)

The Oxford Roman Economy Project is a research project based in the Faculty of Classics, at the University of Oxford. The project, lead by Prof. Alan Bowman and Prof. Andrew Wilson. 

Centre for the Study of Ancient Documents (CSAD)

The Centre provides a home for Oxford University's epigraphical archive, which includes one of the largest collections of squeezes (paper impressions) of Greek inscriptions in the world, together with the Haverfield archive of Roman inscriptions from Britain, and a substantial photographic collection. The strengths of the epigraphical archive lie in its broad coverage of early Greek inscriptions, Attic epigraphy and the Hellenistic world. Individual sites well represented in the archive include Chios, Samos, Priene, Rhodes, and Samothrace. The material in the archive is currently being reorganised and catalogued.

Digital Atlas of the Roman Empire (DARE)

A first version of a tiled base map of the Roman Empire was created in 2012 by the author, in collaboration with the Pelagios project. A second version was created afterwards and became part of an online historical geographic information system (GIS) called the Digital Atlas of the Roman Empire (DARE) hosted by the Department of Archaeology and Classical History, Lund University, Sweden and available at https://dare.ht.lu.se. The map was inspired by the Barrington Atlas of the Greek and Roman World (Talbert, 2000) and was built upon digitization efforts carried out by the Pleiades and DARMC projects even though it became necessary to return to the original map for additional data in order to produce a functional digital map. DARE aims at a much higher level of accuracy and the integration of digital resources such as satellite imagery, national topographic maps, source texts, other source material and scholarly literature. Since 2012 we have worked to improve the map regarding both its appearance, quality of location, meta data describing properties of the ancient place and links to related digital resources. The most prominent change is however the addition of 9111 places (and buildings) with a different provenance than the Barrington Atlas of the Greek and Roman World.

ORBIS: The Stanford Geospatial Network Model of the Roman Worldhttps://orbis.stanford.edu/

ORBIS: The Stanford Geospatial Network Model of the Roman World reconstructs the time cost and financial expense associated with a wide range of different types of travel in antiquity. The model is based on a simplified version of the giant network of cities, roads, rivers and sea lanes that framed movement across the Roman Empire. It broadly reflects conditions around 200 CE but also covers a few sites and roads created in late antiquity. The model consists of 632 sites, most of them urban settlements but also including important promontories and mountain passes, and covers close to 10 million square kilometers (~4 million square miles) of terrestrial and maritime space. 301 sites serve as sea ports. The baseline road network encompasses 84,631 kilometers (52,587 miles) of road or desert tracks, complemented by 28,272 kilometers (17,567 miles) of navigable rivers and canals.

Omnes viae: Roman routeplanner

OmnesViae.org offers a reconstruction of the Tabula Peutingeriana with internet technology. The Tabula Peutingeriana, also known as the Peutinger map, is a medieval copy of a Roman roadmap from about the year 300 CE. This reconstruction is mainly based on research by Richard Talbert. The places, connections and distances are mostly derived from data published by Talbert (see https://cambridge.org/us/talbert/). To study the Tabula Peutingeriana using OmnesViae, one needs to be aware of how this reconstruction was made, how it works and how the underlying data differs from Talberts dataset

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