Finding karstic caves and rockshelters in the Inner Asian mountain corridor using predictive modelling and field survey

Mechanical properties of lithic raw materials from Kazakhstan: Comparing chert, shale, and porphyry

The study of lithic raw material quality has become one of the major interpretive tools to investigate the raw material selection behaviour and its influence to the knapping technology. In order to make objective assessments of raw material quality, we need to measure their mechanical properties (e.g., fracture resistance, hardness, modulus of elasticity). However, such comprehensive investigations are lacking for the Palaeolithic of Kazakhstan. In this work, we investigate geological and archaeological lithic raw material samples of chert, porphyry, and shale collected from the Inner Asian Mountain Corridor (henceforth IAMC). Selected samples of aforementioned rocks were tested by means of Vickers and Knoop indentation methods to determine the main aspect of their mechanical properties: their indentation fracture resistance (a value closely related to fracture toughness). These tests were complemented by traditional petrographic studies to characterise the mineralogical composition and evaluate the level of impurities that could have potentially affected the mechanical properties. The results show that materials, such as porphyry possess fracture toughness values that can be compared to those of chert. Previously, porphyry was thought to be of lower quality due to the anisotropic composition and coarse feldspar and quartz phenocrysts embedded in a silica rich matrix. However, our analysis suggests that different raw materials are not different in terms of indentation fracture resistance. This work also offers first insight into the quality of archaeological porphyry that was utilised as a primary raw material at various Upper Palaeolithic sites in the Inner Asian Mountain Corridor from 47–21 ka cal BP.

Application of viewshed analysis and probability mapping for search area determination based on the Moors murders on Saddleworth Moor, the United Kingdom

Geographical Information System (GIS) is underutilized within the forensic discipline, especially concerning the discovery of clandestine graves. GIS, viewshed analysis, and probability maps are being introduced into desk-based research both for archaeology and forensic purposes. This study aims to investigate how useful GIS can be to narrow down large search areas when locating clandestine graves. Combining GIS, viewshed analysis, and probability maps allows for the exploration of potential areas of concealment and diggability on Saddleworth Moor to find the remaining missing Moors victim, Keith Bennett. Methods included viewshed analysis consisting of what is visible and not visible from a certain location while the probability map registers the likelihood of penetrability across the Moors landscape. Using two GIS software programs, QGIS and ArcGIS Pro, maps were constructed examining the A635 on Saddleworth Moor and the potential location of Keith Bennett. This takes into consideration the geology, terrain, water networks, and road systems. Analysis of the GIS maps demonstrated that two possible areas were likely to be able to conceal Keith Bennett's body. It then aids to identify areas for further investigation. This study also indicates that GIS data analysis has the potential to aid in criminal and civil investigations and helps narrow down search areas to manageable sizes. Not only does it aid in cold case criminal investigations but it can also be utilized within everyday desk-based research on recent investigations.