Developing a Geovisual Analytics Environment for Investigating Archaeological Events: Extending the Space–Time Cube

Huisman, Otto; Santiago, Irvin Feliciano; Kraak, M.J.; Retsios, Bas

doi:10.1559/152304009788988297

Cited by 26 publications

(25 citation statements)

References 12 publications

(15 reference statements)

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“…While it has been often mentioned that the integration of space and time is desirable [61][62][63][64][65], in practice, it is included as a separate attribute, either of an object or an event. The space-time cube of Huisman et al [66] proposes the use of time as an extra geometric dimension, but its aim is merely to provide spatial insight into the temporal aspect, rather than on realizing a data structure to handle changes upon position, attributes and/or extent of the objects in a unified space-time continuum. We plan to investigate in the future how to realize the integration of space and time.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Modeling a 3D City Model and Its Levels of Detail as a True 4D Model

Ohori

Ledoux

Biljecki

et al. 2015

IJGI

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The various levels of detail (LODs) of a 3D city model are often stored independently, without links between the representations of the same object, causing inconsistencies, as well as update and maintenance problems. One solution to this problem is to model the LOD as an extra geometric dimension perpendicular to the three spatial ones, resulting in a true 4D model in which a single 4D object (a polychoron) represents a 3D polyhedral object (e.g., a building) at all of its LODs and a multiple-LOD 3D city model is modeled as a 4D cell complex. While such an approach has been discussed before at a conceptual level, our objective in this paper is to describe how it can be realized by appropriately linking existing 3D models of the same object at different LODs. We first present our general methodology to construct such a 4D model, which consists of three steps: (1) finding corresponding 0D-3D cells; (2) creating 1D-4D cells connecting them; and (3) constructing the 4D model. Because of the complex relationships between the objects in different LODs, the creation of the connecting cells can become difficult. We therefore describe four different alternatives to do this, and we discuss the advantages and disadvantages of each in terms of their feasibility in practice and the properties that the resulting 4D model has. We show how the different linking schemes result in objects with different characteristics in several use cases. We also show how our linking method works in practice by implementing the linking of matching cells to construct a 4D model.

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Section: Discussion and Future Workmentioning

confidence: 99%

Modeling a 3D City Model and Its Levels of Detail as a True 4D Model

Ohori

Ledoux

Biljecki

et al. 2015

IJGI

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“…The cases examined here were chosen for their foci on handling imperfect temporal information in archaeology and the visualization of archaeological data. Of the four examples critically reviewed, three (Johnson 1999;Katsianis et al 2008;Tsipidis et al 2011) were conducted by archaeologists, and one (Huisman et al 2009) is by information scientists working with archaeological data. In each case, we present background studies to contextualize recent developments.…”

Section: Visualizing Change Through Time In Archaeologymentioning

confidence: 99%

“…3D models, multiple linked views) customized for visualization of archaeological data. Huisman et al (2009) and Johnson (1999) describe the challenges and potential of 'top-down' approaches when navigating archaeological data that another scholar has collected through the 'space-time-cube' and through temporal animation.…”

Section: Visualizing Change Through Time In Archaeologymentioning

confidence: 99%

Geographic Visualization in Archaeology

Gupta

Devillers

2016

J Archaeol Method Theory

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Abstract: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 geo-referenced 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.

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“…In TM, Allen relations can be transferred to spatial relations 39,41 . Given a study interval I [0, 100], all examined intervals are located within the isosceles triangle formed by ‫ܫ‬ ି , ‫ܫ‬ ା and the interval point of ‫.ܫ‬ Let us consider a reference interval I1 [33,66] and several intervals (I2, I3, I4) that are before interval I1 (Figure 2 (a)). In TM, I2, I3, I4 are located in the zone in the left corner of the study interval (Figure 2 (b)).…”

Section: Queries Of Allen Relationsmentioning

confidence: 99%

Interactive analysis of time intervals in a two-dimensional space

Qiang

Delafontaine

Versichele

et al. 2012

Information Visualization

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Time intervals are conventionally represented as linear segments in a onedimensional space. An alternative representation of time intervals is the Triangular Model (TM), which represents time intervals as points in a two-dimensional space. In this paper, the use of TM in visualising and analysing time intervals is investigated. Not only does this model offer a compact visualisation of the distribution of intervals, it also supports an innovative temporal query mechanism that relies on geometries in the two-dimensional space. This query mechanism has the potential to simplify queries that are hard to specify using traditional linear temporal query devices. Moreover, a software prototype that implements TM in a geographical information system (GIS) is introduced. This prototype has been applied in a real scenario to analyse time intervals that were detected by a Bluetooth tracking system. This application shows that TM has potential of supporting a traditional GIS to analyse interval-based geographical data.

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Developing a Geovisual Analytics Environment for Investigating Archaeological Events: Extending the Space–Time Cube

Cited by 26 publications

References 12 publications

Modeling a 3D City Model and Its Levels of Detail as a True 4D Model

Modeling a 3D City Model and Its Levels of Detail as a True 4D Model

Geographic Visualization in Archaeology

Interactive analysis of time intervals in a two-dimensional space

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