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Least Cost Path Bitola Prilep
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Although a vast variety of secondary literature has been published on the Via Egnatia, some parts of its route still remain obscure, for instance the section between Ohrid, Resen and Bitola. The archaeologist Viktor Lilčikj Adams has argued for a multi-layered approach to this question. Least cost path (LCP) calculations were applied by Markus Breier to replicate/predict the route between Ohrid, Resen, Bitola and Prilep, and, thus, to complement the existing written sources, archaeological evidence and maps. Based on the aforesaid multi-layered approach a LCP model was put into existence, which was published in 2017. LCP are viable models that can help to understand historical transportation networks. Thus, they have the capacity to complement the thorough analysis of the surviving written sources, the archaeological evidence in situ and published as well as unpublished maps. The model of the section between Bitola and Prilep is viable and can be regarded as a good approximation. However, it has to be noted, that the result is an idealised representation, not necessarily the real course of the road. Various uncertainties (e.g. present day data, uncertain locations of historical landmarks) also have to be considered, when the results are interpreted. Nonetheless, computer generated models like LCP can lead to new insights regarding historical landscapes. The integration of social, political and economic factors as well as agent-based methods like view-shed might further enhance the viability of these models. These factors, however, are difficult to formalise, so that they can be used within a GIS.
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Least Cost Path Ohrid Bitola
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Although a vast variety of secondary literature has been published on the Via Egnatia, some parts of its route still remain obscure, for instance the section between Ohrid, Resen and Bitola. The archaeologist Viktor Lilčikj Adams has argued for a multi-layered approach to this question. He distinguishes for the section Ohrid – Resen between a summer and a winter road. The summer road led from Ohrid to Velgošti and via the mountain of Istok (1661 m altitude) and the village of Petrino to Resen, which is the most direct and shortest way between Ohrid and Resen. The winter road offers three variants: The first ran from Ohrid via Kosel, Opejnca, Zavoj, the pass of Bukovo (1207 m altitude) to Resen, which is the longest and safest section. The second variant connected Ohrid, Leskoec, circumvented the elevation of Bigla (1228 m altitude) to the South-East of Opejnca, crossed the pass of Bukovo and reached Resen via Izbište. The third led from Ohrid to Leskoec, Skrebatno, Ilino and Resen.
Least cost path (LCP) calculations were applied by Markus Breier to replicate/predict the route between Ohrid, Resen and Bitola, and, thus, to complement the existing written sources, archaeological evidence and maps. Based on the aforesaid multi-layered approach a LCP model was put into existence, which was published in 2017. LCP are viable models that can help to understand historical transportation networks. Thus, they have the capacity to complement the thorough analysis of the surviving written sources, the archaeological evidence in situ and published as well as unpublished maps. The section of the LCP model between Ohrid and Resen corresponds to the aforesaid third variant of the winter road (namely from Ohrid via Leskoec, Skrebatno and Ilino to Resen). The model presented is viable and can be a good approximation to the road between Ohrid and Bitola. However, it has to be noted, that the result is an idealised representation, not necessarily the real course of the road. Various uncertainties (e.g. present day data, uncertain locations of historical landmarks) also have to be considered, when the results are interpreted. Nonetheless, computer generated models like LCP can lead to new insights regarding historical landscapes. The integration of social, political and economic factors as well as agent-based methods like view-shed might further enhance the viability of these models. These factors, however, are difficult to formalise, so that they can be used within a GIS.
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