Modelling of Pathways and Movement Networks in Archaeology
An Overview of Current Approaches
Bibliographic Data
| ID | 20038026 |
|---|---|
| Authors | Philip Verhagen (0000-0001-8166-122X, Vrije Universiteit Amsterdam), Laure Nuninger (0000-0002-5329-719X, Laboratoire Chrono-Environnement), Mark R Groenhuijzen (Vrije Universiteit Amsterdam) |
| Year | 2019 |
| Pages | 217-249 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | CHAPTER |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-030-04576-0_11 |
| OpenAlex | W2891665270 |
| ISBN | 9783030045760 |
| Language | EN |
| Citations received | 68 |
| References cited | 86 |
This chapter presents and discusses current approaches and trends in computer-based modelling of pathways and movement networks in archaeology. After an introduction to the theoretical concepts involved, we present a state of the art of methodologies applied for reconstructing pathways and movement in ancient landscapes and discuss the various difficulties in using these methods as well as the most important technical hurdles involved. The problems of integrating optimal pathfinding algorithms with ‘softer’ socio-cultural variables are highlighted, as well as the limitations of modelling connections between places using least-cost path techniques. Network analysis reconstruction and analysis approaches are then reviewed as tools to better understand the overall structure of movement and communication in ancient landscapes. It is concluded that, while the potential of current approaches for understanding ancient movement is considerable, improvement is still needed in three main areas: the integration of approaches, sensitivity analysis and validation, and the theoretical underpinning of models of ancient movement
Art · Civil engineering · Data science · Underpinning · Archaeology and Rock Art Studies · Computer Science · Engineering · Public Spaces through Art · Urban Design and Spatial Analysis
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| Unique citing works | 68 |
|---|---|
| Citations per year | 9,71 |
| Citation span | 2019 - 2027 (9) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 62 |