From Space to Graphs to Understand Spatial Changes Using Medieval and Modern Fiscal Sources

Autor: Bertrand Jouve, Xavier Rodier, Etienne Fieux, Samuel Leturcq, Mélanie Le Couédic, Florent Hautefeuille
Přispěvatelé: Cités, Territoires, Environnement et Sociétés (CITERES), Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Identités, Territoires, Expressions, Mobilités (ITEM), Université de Pau et des Pays de l'Adour (UPPA), Travaux et recherches archéologiques sur les cultures, les espaces et les sociétés (TRACES), École des hautes études en sciences sociales (EHESS)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS), Equipe de Recherche en Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2), Institut de Mathématiques de Toulouse UMR5219 (IMT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Earl Graeme, Sly Timothy, Chrysanthi Angeliki, Murrieta-Flores Patricia, Papadopoulos Constantinos, Romanowska Izabela, Wheatley David, ANR-09-BLAN-0322,MODELESPACE,Modélisation spatiale des sources du prélèvement foncier préindustriel : textes, graphes, SIG(2009), Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT), Ministère de la Culture et de la Communication (MCC)-École des hautes études en sciences sociales (EHESS)-Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Tours, École des hautes études en sciences sociales (EHESS)-Université Toulouse - Jean Jaurès (UT2J)-Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2014
Předmět:
Zdroj: Archaeology in the Digital Era. Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, 26-29 March 2012
40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA)
40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Mar 2012, Southampton, United Kingdom. pp.424-431
HAL
DOI: 10.1515/9789048519590-045
Popis: International audience; Medieval and modern fiscal documents provide valuable information about the spatial organization of the countryside. They usually describe each plot, indicating the owner's name, the surface area, the land use, the neighbours, and the location. These lists, which contain hundreds of plots with their relative location, have great potential for analyzing the spatial pattern of village territories and the evolution of the landscape, especially when there is a series of successive documents for the same territory, as is often the case. Nevertheless, they have been dramatically under-exploited because it is difficult to reconstruct the landscape from fieldbooks without maps - and field-maps in France only appeared in the 17th-18th centuries. To overcome this difficulty, we propose a model of plots described in fiscal documents based on the use of graph theory. The main idea is to take spatial information from registers and former plot plans and transform it into graphs. The translation of spatial data into graphs should allow a bridge to be created between mapped and unmapped historical documents. On these graphs, each plot corresponds to a vertex and each neighbourhood relationship (adjacency) - visible on a plan or described in the documents as a neighbour - to an edge. The work is carried out using two complementary approaches: the first focuses on establishing a database dealing with records without maps. The second extracts the graph from former plot plans in a Geographic Information System. The goal is to match the graphs produced by these two approaches in order to analyze spatial changes by comparing the graphs, which is not possible from plans or registers alone. First, the protocol to transform plot plans into graphs in the GIS will be developed. Secondly, we will consider the possibilities of comparing two graphs corresponding to two successive states in the GIS.
Databáze: OpenAIRE