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Zooarchaeologists utilize a diverse set of approaches for quantifying cutmark frequencies. The least quantitative method for cutmark analysis relies on composite diagrams of cutmarks overlain on drawings of skeletal elements (diagramatic methods). To date, interpretations of these data have generally relied on qualitative and subjective assessments of cutmark frequency and placement. Many analysts count the number of fragments that have a cutmark, regardless of the number of cutmarks on the fragments (fragment-count data). Others count the number of cutmarks (cutmark-count data). Both can be expressed as simple counts (NISP data), or as a count of some more-derived measure of skeletal element abundance (MNE data). All of these approaches provide different types of data and are not intercomparable. Several researchers have shown that fragmentation of specimens impacts the frequency of cuts, and we show here that fragmentation impacts all these current approaches in ways that compromise comparative analysis when fragmentation differs between assemblages. We argue that cutmark frequencies from assemblages with differing levels of fragmentation are most effectively made comparable by correcting the frequency of cutmarks by the observed surface area. We present a new method that allows this surface area correction by using the image analysis abilities of GIS. This approach overcomes the fragmentation problem. We illustrate the power of this technique by comparing a highly fragmented archaeological assemblage to an unfragmented experimental collection.

Most zooarchaeologists employ some type of derived measure of skeletal element abundance in their analyses of faunal data. The minimum number of individuals (MNI) and the minimum number of animal units (MAU) are two of the most popular derived measurements, and each is based on a prior estimate of the minimum number of elements (MNE). Thus, the estimate of MNE from fragmented faunal fragments is the essential foundation for all inferences emanating from MNI and MAU estimates of skeletal element abundance. Estimating the MNE represented by a sample of faunal fragments is a complicated procedure that involves various assumptions, possible mathematical manipulations, and subjectivity. Unfortunately, the reasoning and methods underlying this procedure are unstandardized in zooarchaeology, and even worse, rarely made explicit. We review the scarce literature on this topic and identify two different approaches: the fraction summation approach and the overlap approach. We identify strengths and weaknesses in both approaches. We then present a new method that is based on using image-analysis GIS software to count overlapping fragments that have been converted to pixel images. This method maintains the strengths of the other methods while overcoming most of their weaknesses. It promises numerous powerful analytical capabilities that go far beyond the routines available in spreadsheets and databases. It also offers nearly boundless flexibility in database recoding and extremely complete information storage. Perhaps its greatest strength is that it is based on very intuitive reasoning.

The archaeological sites of Iraq, precious for their bearing on human history, became especially vulnerable to looters during two wars. Much of the looting evidence has been anecdotal up to now, but here satellite imagery has been employed to show which sites were looted and when. Sites of all sizes from late Uruk to early Islamic were targeted for their high value artefacts, particularly just before and after the 2003 invasion. The author comments that the ‘total area looted … was many times greater than all the archaeological investigations ever conducted in southern Iraq and must have yielded tablets, coins, cylinder seals, statues, terracottas, bronzes and other objects in the hundreds of thousands’.

Looting at Isin. Photograph reproduced courtesy of McGuire Gibson.

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In large arid floodplains, like that of southern Iraq, the rise of the water table associated with irrigation can result in surface salt concentrations over the remains of subsurface architecture. These traces are visible only from the air but are sometimes captured by commercially available submeter pixel imagery. This article describes the methods used and some of the results of a project using QuickBird, WorldView-1, and WorldView-2 imagery to investigate settlement systems in southern Mesopotamia dating between the fourth and first millennia B.C. Following a discussion of methods used to better predict which images of which sites will produce the desired results, a brief exploration of key anthropological questions that these data allow us now to ask will be presented.