3D geometrical modeling of excavation units at the archaeological site of Tell ‘Acharneh (Syria)

3D geometric modeling consists of representing geometric and spatial relationships of volumetric objects. We think it could be helpful in the context of archaeological excavation units representation and analysis. This article presents a procedure developed to generate 3D models from GPS positions taken at the top and the bottom of the excavation units boundaries on the archaeological site of Tell ‘Acharneh (Syria). It shows and discusses two geometrical modeling approaches (voxel and tetrahedral) used in the Gocad 3D modeling tool. Once excavation units are geometrically modeled, it is possible to refer them within a trench or the entire archaeological site, to handle them in various ways (zoom, rotation, translation), to perform on them 3D spatial analysis such as volumetric calculus or intersection computation, to make various kinds of queries such as to find out excavation units that have a certain number of artefacts, to generate sections anywhere in the 3D model, and finally to publish it with VRML (Virtual Reality Modular Language). As well as improving data analysis techniques, we think that if this 3D modeling operation can be done during the excavation, it could greatly help archaeologists to plan more efficiently their daily excavation strategy.     

非物质文化空间数据库与地图表达方法——基于蔚县剪纸的实证研究

本文提出了"文化景观→文化载体→空间数据库→载体联合→文化景观"的非物质文化空间数据库与地图化表达模式,为开展系统性文化地理研究奠定基础。蔚县剪纸的实证研究中,通过解析蔚县剪纸文化景观,建立了包括艺人、生产作坊、文化受众、网络店铺等10种文化载体的空间数据库;通过不同的文化载体整合实现艺人分布空间、艺人行为空间、艺术风格空间、艺术传承空间和产销空间等地图表达成果。地图表达为进一步开展景观格局特征及其驱动机制的挖掘分析奠定了基础。本文是针对文化地理研究方法论的探讨和实证,通过文化景观的抽象语言描述到地图可视化表达,为非物质文化现象的时空研究提供了新模式。     

GIS技术在萨拉乌苏考古遗址公园规划设计中的应用

传统规划设计工作的技术平台多以计算机辅助设计(CAD)为主,本工作以内蒙古自治区鄂尔多斯萨拉乌苏考古遗址公园规划为例,将Arc GIS Desktop作为技术平台应用到公园的规划设计工作中。首先,通过对规划区的实地踏勘,采集相关数据和资料,进行规划区数据库建设;其次,在数据库建设的基础上,通过GIS技术构建与现实环境对应的虚拟地理信息空间,实现规划区景观的三维可视化;最后,利用三维景观模型对现实地理环境进行模拟、分析及虚拟场景飞行。不同于传统CAD的二维工作平台,本工作借助GIS对空间数据和属性数据的强大处理功能及其三维景观可视化模块,为实现内蒙古鄂尔多斯萨拉乌苏考古遗址公园的科学规划提供辅助。     

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.     

现代空间信息技术与秦蜀古道遗存保护

为研究秦蜀古道遗存的保护,应用多种测绘技术手段到线性文化遗产的调查与研究工作。收集整理覆盖范围的卫星遥感影像,并通过固定翼无人机航拍、多旋翼无人机倾斜摄影测量技术、地面三维激光扫描技术获取遗存空间信息数据;利用GIS技术构建秦蜀古道遗存虚拟地理信息空间,实现秦蜀古道遗存的三维可视化;最后,借助GIS软件开发,实现秦蜀古道空间数据及属性数据的处理与查询功能,为秦蜀古道遗存的研究及保护规划提供辅助。     

Experiencing Ancient Buildings from a 3D GIS Perspective: a Case Drawn from the Swedish Pompeii Project

In recent times, archaeological documentation strategies have been considerably improved by the use of advanced 3D acquisition systems. Laser scanning, photogrammetry and computer vision techniques provide archaeologists with new opportunities to investigate and document the archaeological record. In spite of this, the amount of data collected and the geometrical complexity of the models resulting from such acquisition processes have always prevented their systematic integration into a geographic information systems (GIS) environment. Recent technological advances occurred in the visualization of 3D contents, led us to overcome the aforementioned limitations and set up a work pipeline in which was possible to put the 3D models not only in the context of data visualization but also in the frame of spatial analysis. The case study described is a part of the Swedish Pompeii Project, a research and fieldwork activity started in 2000 with the purpose of recording and investigating an entire Pompeian city block, Insula V 1. As an additional part of the research, a laser scanning acquisition campaign was conducted in the last few years. The resulting models were thus meant to be used to develop further research lines: Among these, a 3D GIS system was expected to be set up with the purpose to (i) collect in the same geo-referenced environment, different typologies of documentation gathered in the context of the Swedish Pompeii Project; (ii) inter-connect 3D models with the project website; (iii) use the third dimension as a further analytical field of investigation, in the form of spatial analysis and cognitive simulation.     

GPS-based measurement of geographic spillovers in tourism – example of Polish districts

The agglomeration phenomenon in tourism often spreads beyond the borders of territorial units what is referred to as geographic spillovers. However, the measurement of spatial concentration of tourism demand and economic activity is usually based on statistics collected within regional administrative boundaries and omits the spatial interdependency between neighboring regions. Recognition of such spatial interdependency in the standard procedure to define neighborhood relies on the distance between geometric means (centroids) of territorial units which, however, rarely reflects real ‘centers’ of tourism agglomerations and leads to errors and biased results. Hence, we propose to modify the measures of the neighborhood with the use of GPS coordinates of tourism firms and attractions in order to designate their regional central tendencies and thus to correct (shift in space) localization of centroids of territorial units. We test the usefulness of the new approach to obtain a more precise measurement of spatial concentration when tourism spills over beyond the boundaries of territorial units using the example of Polish districts. We employ the exploratory spatial data analysis (spatial statistics) and spatial regression models – to assess the difference between using traditional centroids and GPS coordinates in defining neighborhood and determining spillover effects in regional analysis. Furthermore we apply the new method into the model of tourism potential in order to identify spillover effects in Polish regions. We use the data collected by Central Statistical Office (tourists staying overnight in 379 districts in 2014) and by Polish Tourist Organization (14,390 GPS coordinates of individual entities: tourism firms and attractions). The neighborhood determined with the use of GPS coordinates to measure the distance between centers of tourism agglomerations eliminates the dependence of the results on the administrative boundaries – but only to some degree. The challenge is to identify tourism agglomeration phenomenon as such, based on the mobility of tourists in space.     

Extra-territorial interventions in conflict spaces: Explaining the geographies of post-Cold War peacekeeping

The period since the end of the Cold War has presided over a dramatic expansion in the number of multilateral peacekeeping operations (PKOs). Yet individual states have varied significantly in their enthusiasm for peacekeeping and, moreover, demonstrated a greater propensity to participate in operations located in certain countries than others. Our contribution in the present paper is to provide new insights into how geography underpins these spatial variations. Uniquely, we make use of a geographically disaggregated dataset of multilateral PKOs, which allows us to capture various dyadic linkages between sending and receiving countries. Our results confirm previous work indicating that more democratic countries are more likely to participate in PKOs, but extend these findings by showing that countries' commitment to human rights has a similar positive influence. We also show that aspects of spatial proximity (physical distance, same region) and relational proximity (colonial ties) between potential sending and receiving states raise the likelihood of participation. Yet we find that two relational variables widely discussed in the literature as possible correlates of peaceful interactions – bilateral trade and joint membership of intergovernmental organisations (IGOs) – have no statistically discernable influence on countries' involvement in particular PKOs.     

A Statistical Method for Analyzing the Relative Location of Points in a Bounded Region

This paper develops a statistical method for analyzing the relative location of points in a bounded region. The location of points in relation to the center of the region in which they are located is discussed. Four spatial objects called reference objects are defined to represent the relative location: (1) the boundary, (2) skeleton, (3) nucleus, and (4) global center. The distribution of distance between points and a reference object yields a cumulative distribution function (CDF). Comparison of CDFs for a reference object allows us to analyze whether the points tend to be located close to the reference object or, for instance, whether the points are clustered around the center of the region. The significance of the CDF is statistically tested by Monte Carlo simulation. The method proposed is applied to the distribution of restaurants in retail clusters.     

GEOGRAPHY'S SPATIAL PERSPECTIVE AND THE PHILOSOPHY OF ERNST CASSIRER

O ne of the distinctive features of geographic research is the spatial perspective which is manifested in the geographic literature through the use of a wide variety of spatial concepts. Until the recent work of phenomenological geographers, the variety of concepts used by geographers conformed to the ideals of a scientific geography in that they referred to measurable relations between phenomena. The relations may be directly measurable, such as the highway distance between Los Angeles and San Diego, or they may be indirectly measurable, such as an individual's perception of the distance between the same two cities. This interest in both objective as well as perceived spatial relationships illustrates the expanded scope of geography's spatial perspective, which has resulted in an increase in the number of spatial concepts of significance to geographers and a proliferation of the meanings given to the traditional spatial concepts of geography.     

Fluctuations in land values in a rural municipality in southern Québec, Canada

The agro-forested region of the Haut-St-Laurent, in southwestern Québec, in Canada, has served as a laboratory for several years to a multi-disciplinary research team seeking to understand the interplay of stakeholders and processes influencing the rural space of southern Québec. Following directly in the footsteps of previous research, this study was undertaken to analyze the hitherto neglected but important aspect of fluctuations in land values with respect to geomorphology and land use, during the 1958–1997 period. A geo-referenced database was built within an object-oriented geographic information system (GIS) that includes data from the sale of parcels of land within the study area, land registry maps, land use maps, and a geomorphological map. These data were analyzed and sorted through queries addressed to the database. Finally, a statistical analysis was performed to analyze the relationship between sale price, geomorphology and indirectly land use, for the entire study period and for each of its decades. The results show that land value has increased at different times during the past, according to its geomorphological type and land use. These relationships are explained by the important transformation phases that have affected southern Québec during the second half of the twentieth century.     

Accessibility Measurement in Transportation Networks and Application to the Seoul Bus System

This study presents an algorithm for measuring the time‐distance accessibility based on the flow data of actual transportation networks and examines resulting accessibility distributions. Specifically, we construct an extended graph of the transportation network to take into account not only the average speed and transfer time extracted from the data set but also various possible trajectories taken via transfers. Employing the modified Floyd algorithm which finds the shortest time distance, we compute the time‐distance accessibility of every bus stop in the Seoul bus system, which yields distinctive skew distributions. We then introduce a time‐distance cutoff to focus on effective connections and probe the emergent spatial distributions as the cutoff is varied. Revealed are the characteristic scales as well as spatial structures of the system. It is suggested that the time‐distance accessibility can serve as a significant measure to describe and predict the urban land use pattern.     

Noninferior Bandwidth Line Simplification: Algorithm and Structural Analysis

Digital line simplification operators are an important preprocessing component of a spatial data handling system. Simplification operators are used to generalize digital line files because these files are encoded at one scale but the objects they represent can be displayed at many other scales. Most line simplification algorithms are heuristics that caricaturize lines by eliminating points representing redundant data or conversely retaining the characteristic points of a line that have a high informational content. This paper presents a noninferior simplification algorithm that produces an optimal caricature of an encoded line with respect to the bandwidth criterion that all deleted points must be within a prespecified distance of the simplified line. Results show that it is a practical alternative to existing bandwidth heuristics.     

Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999

The aim of this paper is to analyze the intraurban spatial distributions of population and employment in the agglomeration of Dijon (regional capital of Burgundy, France). We study whether this agglomeration has followed the general tendency of job decentralization observed in most urban areas or whether it is still characterized by a monocentric pattern. To that purpose, we use a sample of 136 observations at the communal and at the IRIS (infraurban statistical area) levels with 1999 census data and the employment database SIRENE (INSEE). First, we study the spatial pattern of total employment and employment density using exploratory spatial data analysis. Apart from the CBD, few IRIS are found to be statistically significant, a result contrasting with those found using standard methods of subcenter identification with employment cut‐offs. Next, in order to examine the spatial distribution of residential population density, we estimate and compare different specifications: exponential negative, spline‐exponential, and multicentric density functions. Moreover, spatial autocorrelation, spatial heterogeneity, and outliers are controlled for by using the appropriate maximum likelihood, generalized method of moments, and Bayesian spatial econometric techniques. Our results highlight again the monocentric character of the agglomeration of Dijon.     

基于GIS的农村医疗设施空间可达性分析——以河南省兰考县为例

针对农村医疗设施空间分布的公平性问题,提出了使用GIS技术和空间可达性指标评估医疗设施的区域分布特征。以兰考县乡级以上卫生院为例,建立人口分布、医疗设施位置、行政区域等地理数据库,选择人均医疗资源分配、就医的最近距离、选择医院的机会、重力模型及改进的重力模型5个空间可达性模型,计算了各乡镇、各行政村的医疗设施可达性指标,并制作了相应的专题地图;在此基础上对医疗设施的空间布局进行了分析。空间可达性指标全面地反映医疗设施的空间分布特征,鉴别出资源分配较薄弱的区位,是农村医疗改革中设施规划和资源分配的重要依据。     

Interpreting Intra-site Spatial Patterns in Seasonal Contexts: an Ethnoarchaeological Case Study from the Western Alps

This paper deals with the ethnoarchaeological analysis of the spatial pattern of artefacts and ecofacts within two traditional pastoral huts (a dwelling and a seasonal dairy) in the uplands of Val Maudagna (Cuneo province, Italian western Alps). The composition of the ethnoarchaeological assemblages of the two huts was studied and compared; point pattern analysis was applied to identify spatial processes mirrored in the interactions between objects; Moran’s I correlogram and empirical variogram were used to investigate the effects of trampling on the displacement of objects on the floor. The results were compared with information provided by the herder who still used the huts. The quantitative and ethnographical data enabled inferences to be made that can help in the interpretation of archaeological seasonal sites. The function of a seasonal site can be recognized, as can the impact of delayed curation on the composition of the assemblage and the importance of the intensity of occupation compared with the frequency of occupation. The spatial organization of activities is reflected in the spatial patterns of objects, with clearer identification of activity areas in intensively occupied sites, and there is evidence for the behaviour behind the spatial segregation of activities. Trampling is a crucial post-depositional factor in the displacement of artefacts and ecofacts, especially in non-intensively exploited sites. From a methodological point of view, this research is another example that highlights the importance of integrating quantitative methods (especially spatial analysis and geostatistical methods) and ethnoarchaeological data in order to improve the interpretation of archaeological sites and assemblages.     

THE ORIGIN of METAL OBJECTS FROM the EARLY BRONZE AGE SITE of THERMI ON the ISLAND of LESBOS

Summary: Lead isotope analysis of metal are deposits in the Mediterranean provides an important database for provenance studies of ancient metal artefacts. the Isotrace laboratory at Oxford has accumulated during the past decade well over 2000 lead isotope data on copper and lead ores and these data (in addition to analyses published by other groups) can be used for comparisons with lead isotope compositions of ancient metal objects. In a search for the roots of Early Bronze Age metallurgy in Europe we have analysed 34 copper-based objects from the Early Bronze Age strata of the town of Thermi on the Aegean island of Lesbos. the results of lead isotope analysis show that the metal objects on this site have a quite varied origin. Some of the objects are made of copper consistent with an origin from the mineral deposits of the Troad whilst others might be made of copper from the Cyclades. However, there are also some objects which are not made of copper from any of the Aegean deposits. These imports have later parallels on the site of Kastri on Syros and amongst the objects excavated by Schliemann at Troy.     

The Pottery Informatics Query Database: A New Method for Mathematic and Quantitative Analyses of Large Regional Ceramic Datasets

There is an increasing demand within the humanities and social sciences to use computers to analyze material culture and discover patterns of historical and anthropological significance. Using southern Levantine Iron Age (ca. 1200–500 BCE) ceramics as a test case, the Pottery Informatics Query Database (PIQD) provides a novel solution for constructing regional ceramic typologies. Beyond digitally archiving 2D/3D-scanned ceramics, the PIQD encodes ceramic profiles as mathematical representations. This method of digital preservation enables rapid queries to be conducted in a mathematically grounded approach. In this sense, the queries are similar to online Basic Local Alignment Search Tool searches developed in the field of genetics by rapidly associating large quantities of digital vessel profiles to each other based on similar morphological traits. The PIQD is an open-source online tool that enables scholars and students to test humanities-related hypotheses against ceramic data in ways that conventional publications or other databases cannot provide. Regional spatial patterning of the ceramic data is delivered over a Google Earth-based user interface. In this paper, we present the PIQD as an objective method for developing a comprehensive ceramic typology of an entire region of archaeological study and provide an arena to conduct novel scientific research. We then demonstrate through a case study its analytical capabilities to handle large datasets of 3D scans and digitized 2D ceramic profiles and generate cultural inferences with the ceramic assemblages of the Iron Age II “Edomite” region located in modern southern Jordan. PIQD adds an important methodological tool to the post-excavation cyber-archaeology tool box.     

A Note on the Extremities of Local Moran's Iis and Their Impact on Global Moran's I

By defining local Moran's I_i as a ratio of quadratic forms and making use of its overall additivity to match global Moran's I, we can identify spatial objects with a strong impact on global Moran's I. First, we concentrate on the spatial properties of local Moran's I_i expressed by the local linkage degree. Depending on whether we use the W- or C-coding of the spatial connectivity matrix, the variance of local Moran's I_i for a small local linkage degree will be either large or small. Note that spatial objects associated with a local Moran's I_i with a large variance affect the global statistic much more than spatial objects associated with a local Moran's I_i with a small variance. Counterintuitively, global Moran's I defined in the W-coding is most influenced by spatial objects with a small number of spatial neighbors. In contrast, spatial objects with a large number of spatial neighbors exert more impact on global Moran's I setup in the C-coding. Second, we investigate the impact of the empirical data on local Moran's I_i and show that local Moran's I_i will only be significant for extreme absolute residuals at and around the reference location. Clusters of average regression residuals cannot be detected by local Moran's I_i. Consequently, spatial cliques of extreme residuals contribute more to significance tests on global autocorrelation.