The Potential Relationship Between Archaeological Artifact Exposure and Surface Geomorphic Processes: Northeastern Peloponnese,Greece

Complex interactions between topography, near-surface geology, active tectonics, climate, and human activity shape a landscape, conditioning archaeological deposits and making sediment deposits from surface erosion important archives. There is a potential relationship between the intensity of geomorphic processes and surface artifact distribution. This study assesses the potential relationship between soil erosion by water and the spatial distribution of archaeological surface artifacts in the Inachos River watershed, Greece. The mountainous, semi-arid Mediterranean region is particularly vulnerable to soil loss. Soil erosion is quantified by applying the Revised Universal Soil Loss Equation in a GIS framework. Estimates of soil loss vary spatially compared to surface artifact finds of the pedestrian survey of the Western Argolid Regional Project. A statistically significant relationship is identified between surface erosion rates and artifact density. Preferential topography for occupation suggests this is an associative rather than causative relationship. Knowledgeable interpretation of artifact distribution enables accurate reconstruction of human settlement history.     

Aires de marché et choix des destinations de consommation pour les achats réalisés au cours de la semaine – Le cas de la région de Québec

Since the early 1990s, big box stores have profoundly modified the retail structure of Canadian cities. This entails multiple consequences, beyond the mere competition between establishments, for the evolving relationships between diversity of retail forms, consumer behaviour and urban planning. These relationships are explored in the Québec Metropolitan Community, using detailed databases, including establishment directories, mobility surveys and a virtual road network, integrated into a regional GIS. Trade areas of commercial streets, shopping centers and big box stores are delineated and analyzed. Consumers' attributes, such as age, gender, type of household, mode of transport, which putatively influence the probability of patronizing one type of retail cluster compared to another type, are modelled using logistic regression. The influence of the relative location of cluster types on their capacity to attract consumers is also modelled in order to gain some understanding of the competition among and between types. The analysis suggests that, by and large, the growing number of big box stores has more negative consequences for shopping centres than they have for commercial streets. The study also clearly reveals the growing importance of shopping trips in the mobility profile of households and provides a knowledge base useful for urban planning.     

Detecting the effects of selection and stochastic forces in archaeological assemblages

Detecting and diagnosing the causes of change through time in archaeological assemblages is a core enterprise of archaeology. Evolutionary approaches to this problem typically cast the causes of culture change as being either stochastic in origin, or arising from selection. Stochastic sources of change include random innovations, copying errors, drift and founder effects among dispersing groups. Selection is driven by differences in payoffs between cultural variants. Most efforts to identify these evolutionary forces in the archaeological record have relied on assessing how well the predictions from a neutral-stochastic model of cultural transmission fit a data set. Selection is inferred when the neutral-stochastic model fits poorly. A problem with this approach is that it does not test directly for the presence selection. Moreover, it does not account for the fact that both neutral-stochastic and selective forces can act at the same time on the same cultural variants. A different approach based on the Price Equation allows for the simultaneous measurement of selective and stochastic forces. This paper extends use of the Price Equation to the analysis of selective and stochastic forces operating on multiple artifact types within an assemblage. Ceramic data presented by Steele et al. (2010, Vol. 37(6): 1348–1358) from the Late Bronze Age Hittite site of Bo?azköy-Hattusa, Turkey, provide an opportunity to evaluate the efficacy of this model. The results suggest that selection is a dominant process driving the frequency evolution of different bowl rim types within the assemblage and that stochastic forces played little or no role. It is also clear, however, that we should be attentive to combinations of direct and indirect selective effects within assemblages consisting of multiple artifact types.     

基于GIS的区域经济分析与决策初步研究

GIS技术能为区域经济分析直接提供一种交互式的、可视化的决策支持,已广泛应用于地方、区域和国家各级水平的经济分析、规划决策过程中。在本文中,作者首先对区域经济分析决策的各种方法进行了必要的分析,说明了在区域经济分析中GIS所能提供的技术支持,然后对建立一个基于GIS的区域经济分析与决策信息支持系统进行了初步研究,并举例说明了GIS技术在经济分析与决策中的应用。     

Integrating pattern and context in spatial archaeology

Traditional approaches to intrasite spatial analysis in archaeology have concentrated on identifying associations among classes of artifacts over a site surface. This focus has tended to ignore the possible effects of contextual constraints on inter-class relationships, for example the “gravity effects” of hearth features on object deposition. Consequently, sets of co-occurring artifact classes defined in space are usually ascribed behavioural significance as “tool kits”, even though they may represent unrelated objects simply discarded into the same spatial location. This paper attempts to illustrate this problem through contextual integration of artifact and feature distributions. Quantitative methods are employed to carry out contextual spatial analysis of artifact distributions from the Upper Palaeolithic rockshelter site Le Flageolet I (Dordogne, France). Results indicate that associations among artifact classes in space might be constrained by feature locations at Le Flageolet I and that contextual interpretations are warranted for the observed inter-class relations.     

Geographic Visualization in Archaeology

Archaeologists are often considered frontrunners in employing spatial approaches within the social sciences and humanities, including geospatial technologies such as geographic information systems (GIS) that are now routinely used in archaeology. Since the late 1980s, GIS has mainly been used to support data collection and management as well as spatial analysis and modeling. While fruitful, these efforts have arguably neglected the potential contribution of advanced visualization methods to the generation of broader archaeological knowledge. This paper reviews the use of GIS in archaeology from a geographic visualization (geovisual) perspective and examines how these methods can broaden the scope of archaeological research in an era of more user-friendly cyber-infrastructures. Like most computational databases, GIS do not easily support temporal data. This limitation is particularly problematic in archaeology because processes and events are best understood in space and time. To deal with such shortcomings in existing tools, archaeologists often end up having to reduce the diversity and complexity of archaeological phenomena. Recent developments in geographic visualization begin to address some of these issues and are pertinent in the globalized world as archaeologists amass vast new bodies of georeferenced information and work towards integrating them with traditional archaeological data. Greater effort in developing geovisualization and geovisual analytics appropriate for archaeological data can create opportunities to visualize, navigate, and assess different sources of information within the larger archaeological community, thus enhancing possibilities for collaborative research and new forms of critical inquiry.     

Exchange economies of late prehistoric eastern Sonora,Mexico: A re-evaluation based on provenance data analyses

This paper presents provenance data on mundane and rare artifact classes from eastern Sonora in order to revise interpretations of the political economy of late prehistoric Northwest Mexico. Previous researchers have argued that long-distance exchange was a predominantly elite activity utilized to generate economic wealth as a means to political ascendance. Data presented in this analysis contradict these previous models and indicate that all segments of society employed exchange to forge relationships for diverse reasons. Aspiring leaders rarely utilized unequal access to regionally acquired goods to attract local supporters. There is no evidence that foreign objects or symbolism imported from Mesoamerica were a component of aspirant leader strategies. Commoner households exchanged mundane artifacts to bank social capital with groups unlikely to undergo simultaneous social depredations. Overall, exchange and other data indicate a fairly balkanized landscape with few signs of elite offices.     

Crime Risk Maps: A Multivariate Spatial Analysis of Crime Data

In crime analyses, maps showing the degree of risk help police departments to make decisions on operational matters, such as where to patrol or how to deploy police officers. This study statistically models spatial crime data for multiple crime types in order to produce joint crime risk maps. To effectively model and map the spatial crime data, we consider two important characteristics of crime occurrences: the spatial dependence between sites, and the dependence between multiple crime types. We reflect both characteristics in the model simultaneously using a generalized multivariate conditional autoregressive model. As a real‐data application, we examine the number of incidents of vehicle theft, larceny, and burglary in 83 census tracts of San Francisco in 2010. Then, we employ a Bayesian approach using a Markov chain Monte Carlo method to estimate the model parameters. Based on the results, we detect the crime hotspots, thus demonstrating the advantage of using a multivariate spatial analysis for crime data.     

A Simulation Study on Specifying a Regression Model for Spatial Data: Choosing between Autocorrelation and Heterogeneity Effects

In this simulation study, regressions specified with autocorrelation effects are compared against those with relationship heterogeneity effects, and in doing so, provides guidance on their use. Regressions investigated are: (1) multiple linear regression, (2) a simultaneous autoregressive error model, and (3) geographically weighted regression. The first is nonspatial and acts as a control, the second accounts for stationary spatial autocorrelation via the error term, while the third captures spatial heterogeneity through the modeling of nonstationary relationships between the response and predictor variables. The geostatistical‐based simulation experiment generates data and coefficients with known multivariate spatial properties, all within an area‐unit spatial setting. Spatial autocorrelation and spatial heterogeneity effects are varied and accounted for. On fitting the regressions, that each have different assumptions and objectives, to very different geographical processes, valuable insights to their likely performance are uncovered. Results objectively confirm an inherent interrelationship between autocorrelation and heterogeneity, that results in an identification problem when choosing one regression over another. Given this, recommendations on the use and implementation of these spatial regressions are suggested, where knowledge of the properties of real study data and the analytical questions being posed are paramount.     

Tobler’s Law in a Multivariate World

Tobler’s first law of geography is widely recognized as reflecting broad empirical realities in geography. Its key concepts of “near” and “related” are intuitive in a univariate setting. However, when moving to the joint consideration of spatial patterns among multiple variables, the combination of attribute similarity and geographical similarity that underlies the concept of spatial autocorrelation is much harder to deal with. This article uses the notion of distance in multiattribute space to explore and visualize the connection between “near” and “related” in a multivariate context. We approach this from a global, local, and regional perspective. We outline a number of ways to combine different visualization techniques and introduce a new local neighbor match test for multivariate local clusters. We illustrate the methods by means of Guerry’s classic data set on moral statistics in 1833 France.     

The application of structured‐light illumination microscopy to hydrocarbon‐bearing fluid inclusions

Structured‐light illumination (SLI)‐based microscopy offers geologists a new perspective for screening of hydrocarbon‐bearing (HCFI) and small aqueous fluid inclusion (AFI) assemblages. This optical‐sectioning technique provides rapid, confocal‐like imaging, using relatively simple and inexpensive instrumentation. The 3D fluorescent images of HCFI planes and large single HCFIs permit the visualization of the relationships between HCFI assemblages, examination of HCFI morphology, and volume estimates of the fluorescent components within HCFIs. By the use of normal white light illumination, SLI image capture, and varying acquisition time it is also possible to image AFI because of the random movements of vapour bubbles within the inclusions. This allows the near‐simultaneous visualization of hydrocarbon and AFI which is of significant importance for the study of sedimentary basins and petroleum reservoirs. SLI is a unique and accessible 3D petrographic tool, with practical advantages over conventional epifluorescence and confocal laser scanning microscopy.     

Artifact Visibility at Open Sites in Western New South Wales,Australia

Abstract

Surface visibility is a significant constraint in archaeological survey, and estimates of surface visibility are a common addition to cultural resource management reports. Despite this, relatively few studies have attempted to identify the factors affecting visibility and quantify their effects. We report the results of such a study based on analysis of surface stone artifacts deposited by prehistoric hunter-gatherers from the Stud Creek area in what is now Sturt National Park, western New South Wales, Australia. While we are able to demonstrate and quantify relationships between high artifact visibility and erosional surfaces, and low visibility and vegetated or depositional surfaces, our findings also indicate a high degree of local variability. This variability sometimes obscures the predicted relationships. The outcome of this research leads us to question the way some sampling designs for archaeological survey are constructed.     

The recognition of multiple spatial patterns: a case study from the French upper paleolithic

A pattern recognition approach to spatial analysis is applied to artifact distributions from the Magdalenian site of Pincevent, Section 36. Patterning is investigated using a κ-means cluster analysis that permits iterative mapping of artifact distributions at several scales of spatial complexity. Multiple scales of patterning are recognized in the Pincevent distributions. These patterns are assessed in terms of those discovered by the excavators through intensive visual inspection of the materials. Basic concordance is seen between these two approaches. Finally, the analysis detects more detailed patterning. A relationship between artifact abundance and location seems to hold constant throughout the site.     

DEFINING HISTORICAL MATERIAL TRENDS AND CONSUMPTION GROUPS THROUGH ARTIFACT DENSITY

Artifact density is a useful yet overlooked analysis variable in archaeology. Drawing upon a sample of sites in the middle Savannah River valley, artifact density is used to identify diachronic consumption trends between the 1700s and 1900s. Analysis results illustrate the development of consumerism over time in the study area indicated by increasing material deposition at archaeological sites. Artifact density is also used to define consumption groups for different time periods. Within cultural resource management studies, the methods discussed in this article could be used to aid in site evaluation and serve as a systematic framework to guide archaeological testing and excavation.     

The correlation of surface and subsurface artifacts: A test case from Late and Terminal Classic Popola,Yucatan, Mexico

Abstract

Surface collections are commonly used by archaeologists to sample artifact assemblages, but the correlation of surface and subsurface artifacts is not fully understood. Cultural, taphonomic, and research-design factors that can affect the relationship of surface and subsurface deposits are reviewed and the correlation of surface and subsurface deposits is tested statistically with data from the site of Popola, Yucatan, Mexico, a Late and Terminal Classic period (a.d. 600–1100) village in the northern Maya lowlands. This study suggests that surface artifact density is not correlated with subsurface artifact density. Large-scale surface collections can characterize the overall assemblage of a site, but not any small area in particular. In shallow bioturbated soils there is no significant variation between surface and subsurface assemblages at any depth. Surface artifacts may be used to identify the presence of subsurface artifacts, but should not be used to suggest their absence.     

基于POI的城市影子教育机构空间格局及其影响因素——以兰州市主城区为例

影子教育作为普遍而又特殊的人文社会现象尚未引起空间科学的关注。本文基于POI数据,融合GIS空间分析及地理探测器等方法,探究了兰州市影子教育机构空间分布特征及影响因素。结果表明：①兰州市影子教育机构总体表现出“西疏东密”的河谷带状分布,并呈现“一主多次”的组团式空间结构;②内部差异较大且不同类型机构的分布特征不同,区位选择的尺度差异明显且集聚形态各异;③不同类型机构的专业化水平差异显著,形成了不同功能型的专业化空间单元;④城市居住小区、商服环境、主流教育机构及交通可达性是影响影子教育空间布局的重要因素,由此驱动形成了不同类型的空间布局模式。     

Recent Directions and Developments in Geographical Information Systems

Geographical information systems (GIS) are tools for handling and processing spatially referenced information that have permeated all facets of archaeology, frequently revolutionizing research by allowing easy access to vast amounts of information, new ways of data visualization that promote insight through pattern recognition, and unique methodologies that allow entirely new approaches to the study of the past. This comprehensive review examines and critiques recent advances achieved through GIS in regional and within-site databases, locational analysis and modeling, regional simulation, studies of landscape perception through intervisibility analysis, and models of spatial allocation, territoriality, and site access. The future prospects of GIS are enormous with the growth of the Internet, the resultant linking of databases, expected enhancements in satellite remote sensing, and the increasing pervasiveness of global positioning systems for spatial data capture. If there is a persistent theme that emerges from the chronicles of contemporary scientific cartography, it is that the creation of a map almost inevitably leads to unexpected revelations. — Hall, Mapping the Next Millenium: How Computer-Driven Cartography Is Revolutionizing the Face of Science     

Investigating the production provenance of iron artifacts with multivariate methods

The quest for suitable data, data treatments and statistical methods for identifying the provenance of iron artifacts has led to a variety of analytical strategies. Researchers working on the problem have been slow to develop or adopt the use of multivariate statistical techniques, despite their successful implementation in other archaeomaterials sourcing frameworks. This paper explores the analytical potential of a comprehensive multivariate statistical strategy for identifying the primary production origins of bloomery iron artifacts using bulk chemical analyses of bloomery smelting slag and slag inclusions in iron artifacts. This strategy includes a multivariate model for identifying distinct slag inclusion types introduced during smelting and refining. Principal component analysis and linear discriminant analysis are then applied to smelting slag training sets to create multivariate provenance fields, the chemical distributions of which are defined by kernel density estimation. Single and multi-group evaluation methods are examined. Appropriate data transformations are discussed to facilitate the projection of the chemistry of “unknown” slag inclusions into the multidimensional space generated by the smelting slag groups of known provenance. The efficacy of this strategy is demonstrated through its application to a previously examined data set derived from three iron production experiments and a published archaeological example. Results indicate that an appropriately designed multivariate strategy can be an effective tool for evaluating provenance hypotheses for bloomery iron artifacts.     

INSIGHTS FROM THE ANALYSIS OF ANGEL MOUNDS POTTERY TROWELS

Archaeologists have recovered pottery trowels in excavations at numerous historic and pre-Columbian archaeological sites in North America since the late nineteenth century. Despite these facts, pottery trowels have not been the subject of thorough scientific analysis or interpretation. In this study, I define and implement a new method of analysis for pottery trowels, using a sample of 188 pottery trowels from the Mississippian site of Angel Mounds (12VG1). After describing the quantitative and qualitative attributes of pottery trowels, I define categories of frequently occurring pottery trowel bell and handle types. The extensive variability of pottery trowel shapes and sizes discovered at Angel Mounds is then discussed with regard to alternative or multiple uses for the tools and the spatial and temporal distributions of pottery trowel types. As an artifact type that provides opportunities to analyze technology, craft production and specialization, and daily practices in past societies, I argue pottery trowels may hold important future insights into a number of topics of interest to archaeologists.