Heritage — Open Access Journal of Knowledge, Conservation and Management of Cultural and Natural Heritage

In China’s Northern Silk Road (CNSR) region, dozens of frontier passes built and fortified at critical intersections were exploited starting at approximately 114 B.C. to guarantee caravan safety. Understanding the pattern of these pass sites is helpful in understanding the defense and trading system along the Silk Road. In this study, a scale optimization Binary Logistic Regression (BLR) archaeological predictive model was proposed to study the spatial pattern of CNSR frontier passes for understanding the critical placement of ancient defense and trading pass sites. Three hundred and fifty sample locations and 17 natural proxies were input into the model. Four strongly correlated factors were reserved as independent variables to construct the model, which was validated by 150 surveyed data and Kvamme’s Gain statistics. According to the variable selection and model optimization, the best spatial scale varies with the stability of the variables, such as 50 m and 1000 m, respectively, for the terrain and non-terrain variables. Clustering characteristics were identified with division overlapped with a 400 mm precipitation line using the site sensibility map. The high and medium probability areas were assembled along the Great Wall and the CNSR routes, especially in the western part, revealing that the model is also helpful to reconstruct the Silk Road routes. Full article

The state of preservation of built heritage monuments is often evaluated by means of several destructive techniques, which are mainly focused on the analysis of small parts of the monuments’ construction materials. The necessary sampling for the accomplishment of these destructive analyses is usually restricted to confined parts of a monument, since monuments are usually under protective legislation, and therefore only indicative of larger areas. Current research attempts to enhance the results of provided by destructive methods, using non-destructive image processing techniques. Towards this end, the potential use of image processing based on rectified images is examined, along with material sampling and laboratory analyses as part of a multi-disciplinary methodology for the investigation of Paphos (Cyprus) Harbour Castle. This approach has been adopted in order to map the degradation patterns observed on the monument’s masonry walls, minimizing destructive methods and attempting to visualize the results of the monument as a whole. The combination of both analytical and non-destructive techniques resulted in the acquisition of large amounts of information, permitting the evaluation of applied non-destructive techniques for the study of the deterioration present on a monument’s external surfaces. This approach led to the assessment of the overall state of preservation of the masonry walls of the structure in an extended scale covering all external façades in a semi-automatic way. Full article