HEИндивидуална стипендия2022–2024

NeFLaRA · A New Framework for Landscape Research in Archaeology

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2022-09-01 → 2024-08-31
Финансиране от ЕС: 230 774 €
Участници: 1
Схема: HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Археологичният ландшафт и връзката между миналите общества и средата им се анализират чрез нови количествени методи за работа с непълни данни. Това помага да се намали несигурността при изграждането на компютърни модели и геовизуализации на древните територии.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

A New Framework for Landscape Research in Archaeology

NeFLaRA (A New Framework for Landscape Research in Archaeology) is an interdisciplinary project that will help address landscape archaeology’s most fundamental challenges: 1) the uncertainty inherent in archaeological reconstructions of past landscapes as a result of the fragmentary nature of archaeological data, 2) the resulting uncertainty in computational models based on fragmentary data; and 3) the geo-visualization of the results. Computational and other methods in archaeological landscape research (i.e. the study of the relationship between past societies and their environments), and in the humanities more broadly, focus almost exclusively on spatial elements, although there is a clear notion that time and histories are fundamentally connected to landscape. Yet, this dominance of space in landscape research suffers from a major challenge: the fragmentary nature of archaeological data, particularly when this data comes from ‘non-systematic regional’ survey as opposed to ‘systematic total area’ survey. This project will develop a new and much-needed robust quantitative framework to address this issue, focusing in particular on three gaps in current methodology: (1) the lack of validated methods for quantifying uncertainty of non-systematic regional archaeological data and models, (2) the poorly explored field of research combining spatial analysis (statistics and geographical information systems [GIS]) and network analysis to study non-systematic regional databases, and (3) the lack of a best practice methodology for geo-visual representations that take into account uncertainty in multiscalar spatial data. The training and research offered by NeFLaRA will position the experienced researcher (ER) as an expert in landscape research, spatial analysis and computational modelling for the study of the past, and will enable him to significantly influence paradigms and practice in archaeological landscape research.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

NeFLaRA (A New Framework for Landscape Research in Archaeology) is an interdisciplinary project that will help address landscape archaeology’s most fundamental challenge: the inherent uncertainty in archaeological reconstructions of past landscapes as a result of the fragmentary nature of archaeological data. Landscape archaeology studies the relationship between past societies and their environments. Computational and other methods in archaeological landscape research, and the humanities more broadly, focus almost exclusively on spatial elements, although there is a clear notion that time and histories are fundamentally connected to the landscape. Yet, this dominance of space in landscape research suffers from the major challenge of the fragmentary nature of archaeological data, particularly when this data comes from a ‘non-systematic’ regional survey as opposed to ‘systematic total area’ survey. While landscape archaeology has benefited from computational developments, a protocol to overcome the embedded uncertainty on spatial data is absent. By defining best practices, identifying optimal methods and outlining clear protocols for different datasets and spatial analyses, this project will create a new robust quantitative framework for more accurate computational models of past landscapes, improving their reliability and enhancing their interpretative potential. To achieve this, NeFLaRA will focus on three methodological gaps: (1) the lack of validated methods for quantifying the uncertainty of non-systematic regional archaeological data and models, (2) the poorly explored field of research combining spatial analysis (statistics and geographical information systems [GIS]) and network analysis to study non-systematic regional databases, and (3) the lack of a best practice guidelines and method pipelines for geo-visual representations that take into account uncertainty in multiscalar spatial data.

Оригинален текст от CORDIS (на английски).

Участници

AARHUS UNIVERSITET · Aarhus CКоординаторДания