A 3D spatial data infrastructure for Mapping the Via Appia☆
Introduction
Since the 1990s, the use of digital 3D technologies in archaeology and architectural history to study structures, sites and landscapes has grown considerably. Initially, these technologies were foremost used to present reconstructions. Looking back, these early virtual reconstructions are nowadays considered to have functioned more as illustration, rather than as coherent and scientifically transparent representations (Hermon, 2008, Frischer, 2008). This changed from the mid-2000s onwards with the introduction of advanced data capturing techniques, such as laser scanning and photogrammetry methods, together with the development of advanced software to handle and analyse 3D data sets. This has allowed and stimulated archaeology and architectural history scholars to explore and incorporate these technologies in their research. Regarding the various ways in which 3D technologies are applied nowadays four different uses can be distinguished.
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First, 3D technologies are used to virtually analyse reality-based data derived from fieldwork such as excavations and architectural and field surveys. These 3D data can either be newly produced by measuring objects or excavated layers in the field using photogrammetry and laser scanning techniques, or derived from vectorised 2D field drawings from both recent and past documentation activities. A key advantage of collecting and converting fieldwork data in 3D is that it allows researchers to virtually analyse three-dimensional relationships between layers, structures and objects. Furthermore, real-world distances, dimensions and volumes can be virtually measured, as such tools are incorporated in most 3D software. Additionally, most 3D documentation initiatives have applied 2D GIS strategies as their starting point, meaning that archaeological units and architectural and archaeological objects are digitally and spatially defined, to which relational databases containing structured information are linked. For querying this attributive information, existing 3D GIS software (e.g. ArcScene) or custom made tools are used (Dell´Unto et al., 2015, Forte et al., 2012, Von Schwerin et al., 2013).
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The second use of 3D technologies distinguished is to produce digital archaeological and architectural 3D reconstructions. For producing 3D reconstructions, objects from reality-based models are virtually repositioned or additional objects are created based on the researcher's interpretation (e.g. Dell’Unto et al., 2013; Schäfer et al., 2015; Guidi et al., 2009; Piccoli, 2014).
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Advanced 3D spatial analyses such as calculating line of sight, flooding, smoke, noise and smell, as well as spatiotemporal analysis such as simulating shadows and astronomical relations, are distinguished as the third way in which archaeology and architectural history scholars use 3D technologies. Noteworthy studies are Johanson and Frischer (2008) and Frischer and Fillwalk, 2013, Frischer and Fillwalk, 2014, in which hypotheses on alignments of reconstructed monuments to the sun have been tested in a virtual 3D environment, and the works by Paliou (2014) and Landeschi et al. (2016) on visibility analysis in reconstructed buildings.
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The fourth use of 3D technologies by archaeology and architectural history scholars is to present research results to other researchers and a broader audience. Already in the 1990s the value of 3D technologies for these purposes was noticed by Renfrew (1997). More recently, Frischer (2008) has stressed that computer modelling has become a standard application for archaeologists for presentation purposes. 3D technologies have also proved to be of value for educational purposes. The works of Forte et al. (2012) for Çatalhöyük and Liestøl (2014) alongside the Via Appia in Rome show interesting results on how virtual and augmented reality techniques can be used to present archaeological information to the public or archaeology students for educational purposes.
The various ways in which 3D technologies are used, as presented above, are strongly interwoven. Ideally one would use reality-based models as input for producing 3D reconstructions, applying basic measure and query tools as well as performing spatial and spatiotemporal analyses of them. The other way around, 3D reconstructions themselves can be used as input for advanced spatiotemporal analyses in order to test archaeological hypotheses, as demonstrated by Frischer and Fillwalk, 2013, Frischer and Fillwalk, 2014. Furthermore, the sharing and presenting of results to other researchers and the use of 3D technologies for educational purposes require input from the previously mentioned uses.
However, although the archaeological and architectural history studies using 3D technologies have increased and evolved considerably, the currently available software tools and the required IT skills by the various users are considered to form a limitation in exploiting the possibilities of 3D technologies within these domains. Especially for the study of large-scale, complex, archaeologically rich areas, the number of suitable and reusable tools is currently limited. To that extend, the MayaArch3D project (URL 1; Von Schwerin et al., 2013, Von Schwerin et al., 2016; Auer et al., 2014) has produced valuable prototypes in which a large-scale archaeological site can be analysed in a virtual 3D environment. They produced a data infrastructure for the ancient Maya site of Copan in Honduras, which can be accessed, visualised and analysed through various applications. To enable sharing they have focussed their development on online tools. Preliminary results from that project show that it assists researchers in expanding questions and developing new analytical methods.
The current article presents a similar and even complementary approach to the MayaArch3D project by discussing the development and implementation of a 3D Spatial Data Infrastructure (3D SDI) for the Mapping the Via Appia project. In the context of this article we consider a SDI to exist of user objectives, user IT literacy, content (data), technical components and governance (see De Kleijn et al., 2014). Mapping the Via Appia aims to analyse the complex and archaeologically rich area between the fifth and sixth mile of the Via Appia (Mols et al., 2013, Mols, 2014; URL 2). The 3D SDI has been developed by an interdisciplinary team of software engineers, archaeologists and architectural historians (Netherlands eScience Center, Spatial Information Laboratory and Radboud University). The development of the presented 3D SDI differs from previous studies by focussing on working with Free and Open Source Software (FOSS) and using the GitHub platform (URL 3) to publish the produced code. This way, the study aims to demonstrate the possibilities and opportunities this paradigm shift in computer software development has to offer for archaeological and historical architectural studies in which 3D technologies are used. The article shows that issues regarding collecting data, sharing data, processing complex data sets and dealing with diverse skill levels and needs of users can be handled by developing a 3D SDI using FOSS. We believe that this direction offers a solution towards the issue sketched by Forte et al. (2012) that most 3D applications used within the discipline are technology-driven, rather than driven by archaeological research methodologies (Forte et al., 2012). Applying FOSS allows for user centric development of 3D software for the archaeological and architectural history domain. Furthermore, since FOSS are free to be reused by others and since the code is publicly available, the article aims to demonstrate that this approach lowers the financial barrier, an issue that has also been identified by Dell´Unto et al. (2015).
The article is structured as follows. After a description of the study area of Mapping the Via Appia and the specific opportunities for 3D technologies to be of value in the context of the project, the outcomes of a user requirement analysis are presented. This is followed by a description of the applied data acquisition and processing methods. Next, the architecture of the infrastructure, its relation to the data acquisition methods and the clients on top of it are presented. By discussing these steps and the components that have been developed, the article offers an insight into how 3D technologies can be applied for studying complex sites by various users by approaching it as a 3D SDI using FOSS.
Section snippets
Case study: Mapping the Via Appia
In the Mapping the Via Appia project, the area of the fifth and sixth miles of the Via Appia Antica is thoroughly investigated. The Via Appia is known as the queen of roads, running from Rome to Brindisi in the south of Italy. Its construction started in 312 BC. The road and its surroundings have seen many changes since then (Portella and Ventre, 2004). In antiquity the Via Appia had important commercial, military, religious and funerary functions, resulting in numerous funerary monuments,
Data acquisition and processing methods
In order to obtain a detailed reality-based 3D model of the study area, we have applied the terrestrial LiDAR scanning technique DRIVE-MAP developed by Fugro (Kodde, 2010; URL 4). DRIVE-MAP is a dynamic laser scanning application that consists of a 360° laser scanner, a panorama camera, a metric camera, a GPS, and accelerometers, all mounted on a car. The application produces a scaled and georeferenced coloured point cloud of the surrounding area in a relatively short time. In approximately 40
Description of the 3D spatial data infrastructure
As detailed in the previous section, the data acquisition phase to obtain georeferenced reality-based models and attributive information on the characteristics from the objects and structures produced five different data sets: the footprint polygons, the relational database with attributive information of the different objects and structures, the reality-based DRIVE-MAP point cloud of the area seen from the road and the point clouds and polyhedral representations (meshes) of the individual
Discussion
Considering the user requirements for a virtual 3D environment to study a large and complex archaeological landscape full of above-ground archaeological objects and structures, as formulated in Section 2, the presented 3D SDI is considered to have answered to most of them. Additionally, by working with FOSS, this article demonstrates the opportunities this paradigm shift in software development has to offer for archaeology and architectural history studies aiming to use 3D technologies to
Conclusions
This article has shown to develop a 3D system, a 3D SDI, that facilitates archaeological and architectural history research to explore, analyse and reconstruct complex archaeological landscapes full of structures and objects of interest. The presented 3D SDI has been developed in close collaboration with the intended users. It offers solutions to enhance easy sharing of archaeological scientific data and knowledge, offers innovative analytical functionalities for conducting spatiotemporal
Acknowledgements
The authors wish to first thank the anonymous reviewer for their valuable feedback to our work. Furthermore we wish to thank the following persons and institutes. The staff from Mapping the Via Appia and the archaeological agency of Rome (Soprintendenza Speciale per i Beni Archeologici di Roma, especially Dott.ssa Rita Paris and Dott.ssa Antonella Rotondi). From the SPINlab: Henk Scholten, Eduardo Dias and Simeon Nedkov. The Netherlands eScience engineers for the valuable work they have done to
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The project is a collaboration between Radboud University, Vrije Universiteit Amsterdam, Royal Netherlands Institute in Rome (KNIR), and the Soprintendenza Speciale per i Beni Archeologici di Roma (SSBAR). The project is funded by De Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) (Project number 380-61-001, 2011-2017) and the Netherlands eScience Center, (file number 027.013.901, 2012-2015). The development of the 3D SDI has started in 2011 and is led by the Spatial Information Laboratory (SPINlab) of the Vrije Universiteit Amsterdam, and conducted in collaboration with the Netherlands eScience Center and the Center for High Performance Computing and Visualisation of the Rijksuniversiteit Groningen.