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  • Book
  • © 2021

Simulating Transitions to Agriculture in Prehistory

  • Approaches issues in archaeology thru computational techniques

  • Focuses on the ecological impacts of agriculture

  • Focuses on the Neolithic transition around the world

Part of the book series: Computational Social Sciences (CSS)

Part of the book sub series: Simulating the Past (SIPA)

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-83643-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 139.99
Price excludes VAT (USA)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiii
  2. An Introduction to Simulating Transitions to Agriculture in Prehistory

    • Sean Bergin, Salvador Pardo-Gordó
    Pages 1-16
  3. Assessing Population Dynamics in the Spread of Agriculture in the Mediterranean Iberia Through Early Warning Signals Metrics

    • Oreto García Puchol, Agustín Diez Castillo, Salvador Pardo-Gordó, Joan Bernabeu Aubán, Alfredo Cortell Nicolau
    Pages 83-103
  4. Early Neolithic Farming Activities in High Mountain Landscapes of the Pyrenees: Simulating Changes in Settlement Patterns

    • Ermengol Gassiot-Ballbè, Guillem Salvador-Baiges, Ignacio Clemente-Conte, Sara Díaz-Bonilla, David Garcia-Casas, Niccolò Mazzucco et al.
    Pages 139-164
  5. “Digital Proxies” for Validating Models of Past Socio-ecological Systems in the Mediterranean Landscape Dynamics Project

    • C. Michael Barton, Isaac I. T. Ullah, Nicolas Gauthier, Nari Miller, Grant Snitker, Irene Esteban-Alamá et al.
    Pages 195-224
  6. The Transition to Early Farming in Europe

    • Albert J. Ammerman
    Pages 225-253
  7. Back Matter

    Pages 255-260

About this book

This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world.The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another.

Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world.  Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. 

Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.

Keywords

  • origins of agriculture
  • neolithic transition
  • computational modeling in archaeology
  • socio-ecological systems
  • anthropogenic landscape modification
  • bayesian modeling for archaeology

Editors and Affiliations

  • Departamento de Geografía e Historia, Universidad de la Laguna San Cristóbal de la Laguna, Santa Cruz, Spain

    Salvador Pardo-Gordó

  • School of Complex Adaptive Systems, Arizona State University, Tempe, USA

    Sean Bergin

About the editors

N/A

Bibliographic Information

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-83643-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 139.99
Price excludes VAT (USA)