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Arqueologia Computacional del Territorio. Metodos Y Tecnicas Para Estudiar Decisiones Humanas En Paisajes Preteritos
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Arqueologia Computacional del Territorio. Metodos Y Tecnicas Para Estudiar Decisiones Humanas En Paisajes Preteritos

Book Details

Format Paperback / Softback
ISBN-10 1803276320
ISBN-13 9781803276328
Publisher Archaeopress
Imprint Archaeopress
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 26th, 2023
Print length 164 Pages
Weight 432 grams
Dimensions 17.40 x 24.50 x 1.20 cms
Ksh 6,450.00
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This book aims to describe some of the current analytical approaches to model past cultural landscapes, their evolution, and relationship with the human societies that inhabited them. To this end, the use of Geographic Information Systems and spatial statistics is proposed, using territorial and landscape archaeology as a theoretical framework.

Current archaeological practices are now fully immersed in the computing and digital era. This process, common to all sciences, is leading to an important methodological renewal of the discipline, materialising in the emergence of new lines of research with a promising future, and computational methods are playing a key role in this panorama. Remote sensing studies, the use of drones, LiDAR data, virtual reconstructions or modern statistical simulation techniques are, amongst others, research fields that require the use of computing science.


Arqueología computacional del territorio aims to describe some of the current analytical approaches to model past cultural landscapes, their evolution, and their relationship with the human societies that inhabited them. To this end, the use of Geographic Information Systems and spatial statistics is proposed, using territorial and landscape archaeology as a theoretical framework.


The research that follows is articulated around the use of open-source software and, specifically, R Statistics, a programming language that is gradually becoming one of the most important tools in archaeological research. Its use allows for transparent, accessible, and reproducible research while promoting interdisciplinarity and a real democratization of scientific knowledge.


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