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Archaeological GIS is moving towards increasingly detailed, embodied, multidimensional simulations and analyses of human experience in the past. Most of the emerging GIS research synthesizing spatial modeling and subject-centered approaches has been concerned with practices and perceptions of landscape. This paper tightens the analytical focus to the more intimate scale of a single settlement, combining models of movement and visual experience within a planned colonial town in highland Peru. Such a rendering is important, since controlling movement and visual experience were central to the colonial project that built this and other such towns in the Viceroyalty of Peru. This study centers on an exceptionally well-preserved, relict planned colonial town in highland Peru to investigate affordances of movement and visibility within it. Several GIS-based simulations and analytical techniques are brought together, including drone-based high resolution three dimensional modeling, spatial network analysis, walking models, and cumulative viewshed analysis, to simulate aggregate visual experience as people moved through the town. The results are suggestive of how the layout of the town specifically routed transit to facilitate the visual prominence of the church and original Inka plaza of the reducción, as well as the prominence of indigenous elite households. Both continuities and discontinuities of movement and visual experience relative to Inkaic and Spanish colonial spaces are evident. By extension, this paper also provides a pathway for quantitative and reproducible modeling of site-scale movement and visual affordances as dimensions of subject and community formation in other global contexts.
Measures of potential sailing mobility are essential for understanding the functioning of ancient maritime links. This requires measuring potential sailing mobility of coastal sailing runs, as well as direct passages in the open sea. Quantitative works attempting to measure potential sailing mobility have shortcomings related to the use of averaged wind data, thereby losing knowledge of wind variability; non-inclusion of the human factors impacting mobility; and not using methods of measuring coastal sailing. The method presented here was developed to measure potential sailing mobility of coastal sailing runs, based on using the patterns of hourly wind direction and speed variability – and specifically the coastal breeze cycle. The effects of wind variability on sailing mobility are extracted from a large dataset of data at high spatiotemporal resolution, by employing millions of sailing simulations which enable developing meaningful information from big data. This method has demonstrated its applicability to measuring coastal sailing mobility in several developmental case studies in the eastern Mediterranean, introducing realistic measures of mobility that include coefficients of mobility and of time spent waiting for favourable winds. Complementing a previously developed method to measure potential sailing mobility on direct open-sea passages, this new method can now provide a comprehensive toolkit for mapping potential sailing mobility. Such mapping is a valuable input to research on maritime networks and maritime-related developments.
