Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
2 Research products, page 1 of 1

  • Digital Humanities and Cultural Heritage
  • Publications
  • 2017-2021
  • 0601 history and archaeology
  • Netherlands Organisation for Scientific Research (NWO)
  • The Dark Age of the Lowlands in an interdisciplinary light: people, landscape and climate in the Netherlands between AD 300 and 1000
  • Digital Humanities and Cultural Heritage

Date (most recent)
arrow_drop_down
  • Open Access English
    Authors: 
    Rowin J. van Lanen; Bert Groenewoudt; Theo Spek; Esther Jansma;
    Country: Netherlands
    Project: NWO | The Dark Age of the Lowla... (2300172486)

    Research on route-network stability is rare. In time, due to cultural and/or natural causes, settlement locations and route orientation shift. The nature of these spatial changes sheds light on the complex interaction between settlements and surrounding natural landscape conditions. This study investigates the stability of route networks in the Netherlands during the past two millennia by determining their persistence through time. Environmental, archaeological and historical data are used to reconstruct and compare route networks. By using network friction, archaeological data on settlement patterns and route networks in combination with historical data (e.g. old maps), we were able to model route-network persistence (not necessarily continuity) from the Roman to early medieval periods (AD 100–800) and from the Early Middle Ages to the Early Modern Times (AD 800–1600). Results show that around 67.6% of the modelled early-mediëval routes in the Netherlands are persistent with routes in the Roman period. Covering a much larger surface area of the Netherlands, 24.5% of the early-modern routes show a clear persistence with their early-medieval counterparts. Besides the differences in surface area, this downfall can largely be explained by cultural dynamics, with 71.4% of the earlymodern route network following modelled movement corridors. already in existence during the Early Middle Ages.

  • Open Access
    Authors: 
    Willem F. Vletter; Rowin J. van Lanen;
    Publisher: Stockholm University Press
    Project: NWO | The Dark Age of the Lowla... (2300172486)

    Route networks are influenced by cultural and environmental dynamics. Consequently, route networks themselves often are dynamic as well. This is especially true in lowland areas, such as the Netherlands, where environmental processes (e.g. geomorphological changes, floods) probably reshaped these networks numerous times. Many of the existing route networks in the Netherlands were established relatively recently, and little is known of their historical predecessors. Recent developments in spatial modelling may improve locating and analysing these old, vanished routes. In this study we have applied two recently-developed applications for historical-route network modelling to the Veluwe (the Netherlands) in order to reconstruct the route network in the region around AD 1500. This region is not densely cultivated and is known to have a long history of routes and paths running through the landscape. The first method, network friction, uses high-resolution geoscientific and cultural data to calculate potential movement corridors and probable route zones. The second method uses a more traditional least-cost path (LCP) model based on surface, groundwater level and slope. The usefulness of these approaches for reconstructing past route networks and the general added value of these approaches was assessed by comparing the reconstructions to the few existing spatial overviews of historical-route networks in this region and hollow ways extracted from Airborne Laser Scanning (ALS) data. Our findings show that the results of the first method, network-friction modelling, correspond best with the comparison data regarding known routes in the study area. However, the general results point towards the necessity of integrating the two applied methods, since a combination of these models best reflects the multiscale variability within regional route networks.