Semantically Enhanced 3D: A Web-based Platform for Spatial Integration of Excavation Documentation at Alken Enge,Denmark

ABSTRACT

The photorealistic and geometrically accurate 3-dimensional representation of excavations, provided by image-based modeling, has the potential to transform the process of excavation documentation, making it easier to share observations with other researchers. Paradoxically, however, spatial representation lacks the ability to convey archaeological interpretations. By example of excavations in Alken Enge, Denmark, this paper explores how a web-based 3D platform is able to facilitate the collaborative exchange of 3D excavation content and how the integration of spatial and attribute data into one common event-based data model may be advantageous. This includes enhancing the semantic value of field-recorded 3D models by segmenting the geometry using various techniques, such as 3D projections and machine learning. Accordingly, the paper demonstrates a framework for interactive 3D models, which includes attributed classification based on segmented 3D content correlated with traditional raster, vector, and textual data, delivering a spatially integrated platform for collaborative research.     

HOBY — AN EXCEPTIONAL EARLY ROMAN IRON AGE SITE IN THE WESTERN BALTIC REGION

Hoby on the island of Lolland in the western part of the Baltic Sea is strategically located in a coastal landscape offering abundant resources. In 1920, one of the most richly furnished so‐called “Lübsow type” graves dating to the first century AD was discovered at Hoby. The settlement associated with the grave was recognised in 1999. Excavations of the settlement between 2001 and 2016 have confirmed the central role of Hoby in the Iron Age society. The research has focused on the Iron Age population and the infrastructure on Lolland. The Iron Age open cultural landscape encompassed numerous settlements, richly furnished burials and fortifications, and has produced unique metal finds. The article presents a summary of investigation results.     

Cluster evolution and the change of knowledge bases: the development of a design cluster

Most studies portray cluster knowledge bases as a given resource, tied to specific industries and locations. However, this paper challenges that view and uncovers their dynamic nature by identifying endogenous and exogenous triggering events that influence and change the cluster knowledge base mix over time. This is done by building on the theoretical concepts of pre-existing conditions, triggering events and knowledge bases and by drawing on a case study of the design cluster located in the Triangle Area of Denmark. The paper concludes that the design cluster has changed its mix of knowledge bases several times during its evolution. Starting out as a firm-driven cluster with a dominant synthetic knowledge base, it then evolved into an artistic and creative cluster with a prevailing symbolic knowledge base. In the last few years, the cluster has increasingly adopted an analytical knowledge base at the expense of other knowledge bases. These developments have caused numerous changes in both knowledge building and the sources of knowledge in and around the cluster. These findings have implications for the framing of cluster knowledge bases, considering how they emerge, change and combine, as well as how that affects clusters’ composition of actors, activities and resources.     

EMBEDDED AND DISEMBEDDED PRACTICE IN THE FIRM–PLACE NEXUS: A STUDY OF TWO WORLD‐LEADING MANUFACTURERS OF SKI EQUIPMENT IN THE LILLEHAMMER SKI CLUSTER

Studies of agglomerations and clusters in economic geography anticipate strong interdependency between firms and places. However, despite the extensive literature, we lack a coherent micro‐theoretical foundation. The relationship between the rationales and practices of firms remains somewhat unspecified. In this article, we analyse the diversity of rationales and practices in a firm–place nexus. Possible rationales for firm practice are outlined, examining the assumptions of three, main theoretical perspectives in economic geography. This microeconomic approach is applied through an analysis of the two key firms in the Lillehammer skiing industry cluster in Norway. The study contributes to a more nuanced understanding of how the agency of firms influence and are influenced by co‐location.     

The Power of Models in Planning: The Case of DaisyGIS and Nitrate Leaching

Spatial deterministic simulation models such as DaisyGIS are increasingly being used for decision‐making in European planning. In Denmark specifically, there is an increasing interest at the regional level to use DaisyGIS as an administrative tool. There are, however, uncertainties associated with the use of these deterministic models, partly due to the spatial variation in input parametres. This study evaluates the use of DaisyGIS for nitrate leaching assessments based on nitrate leaching experiments carried out at the Marbjerg experimental site at Roskilde University. The study includes geostatistical analysis of soil and hydraulic variables and the use of remote sensing for deriving spatial information about the Leaf Area Index. It is found that the model predicts nitrate leaching well when using site‐specific input data but it is quite sensitive to the parameterization of carbon, the C/N ratio and variations in the Leaf Area Index (LAI). With the increasing use of Daisy in the counties, there is a need to find better ways of handling uncertainties in model output which can be used by decision‐makers and to study further the impact of spatial LAI assimilation on catchment scale nitrate leaching processes.