MAID in England: Modelling Archaeological Intervention Data for landscape interpretation and strategic planning in England
MAID in England: Modelling Archaeological Intervention Data for landscape interpretation and strategic planning in England
批准号:
AH/I02433X/1
负责人:
Timothy Darvill
金额:
$6.91万
依托单位:
依托单位国家:
英国
项目类别:
Training Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --
中文摘要
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英文摘要
One of the biggest intellectual and methodological challenges facing archaeology today is how best to interpret and synthesize the huge and diverse body of site- and area-specific archaeological data that has accumulated over the past 20 years or so, and which continues to grow apace. Much of this information comes from development-led projects, surveys of various kinds using techniques such as aerial photography or geophysics, and the reporting of stray finds through the Portable Antiquities Scheme. For England alone more than 20,000 relevant interventions have been recorded since the introduction of PPG16 as a piece of planning policy guidance in 1990, but, surprisingly, the results have not yet been used to create synthetic views of past landscapes or strategic predictive models that can be used to inform future work. In areas such as the Thames Valley and A1/M1 corridor the scale of archaeological work is such that the evidence-base is changing weekly, while right across the country many landscapes are now known through multiple interventions at different scales and intensities. There is an urgent need for up-to-date information about the nature, scale, and meaning of all this archaeological data for effective deployment in the planning system and in the public interpretation of past societies and their geographies. It is a need recognized in the recently published National Heritage Protection Plan (English Heritage 2010) and one that English Heritage wishes to take forward in partnership with the academic community. The task before us is to integrate this wealth of information at various of scales to create new meaningful models of archaeological landscapes. Modelling Archaeological Intervention Data (MAID) aims to develop and test a map-based GIS tool for interpreting archaeological landscapes in England and providing secure underpinnings for planning the nature and extent of future investigations. Modelling will be grounded in the results of research-based and commercially-driven interventions (excavations, surveys, finds etc.), supplemented by the rich data-sets held in local Historic Environment Records (HERs). The widespread availability of GIS and of relevant digital spatial information (both archaeological and non-archaeological) provides the platform for this work. Although there have been attempts to develop predictive modelling in Europe and the US, these have tended to rely on dedicated surveys. The innovative aspect of this proposal is that it uses existing data as well as providing a dynamic means of integrating new data as it comes to light.The purpose of the tool will be to predict and characterise the archaeology of a given area thereby allowing a series of overlays to be produced which show the landscape and patterns of land-use at key periods in its development. Full use will be made of both positive (deposits relating explicitly to that period) and negative (the verified absences of deposits) data that starts with broad-picture perspectives but allows increasing levels of detail to be added as data-sets accumulate and new research is targeted towards specific questions and issues on the basis of predictions contained in the model. The tool will comprise a piece of computer software. Two case-study areas in central southern England will be used to thoroughly test the tool and associated systems. Supporting documentation will be assembled and its usefulness evaluated. As a preliminary, an in-depth investigation of modern HER data will be carried out to clarify the rationale for its collected, test its accuracy, and match it with observational results from field evaluations. To validate the theoretical underpinnings and methodology, selected data-sets will be time-sliced in terms of their creation as archaeological records so that the model can be run iteratively to see how the predictions from
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批准号:AH/W007886/1
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项目类别:Research Grant
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资助金额:$17.47万
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财政年份:2022
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负责人:Timothy Darvill
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依托单位:
海外基金