C Michael Barton

michael-barton.png

C Michael Barton

Institution

Arizona State University, School of Human Evolution & Social Change

Personal homepage

http://cmbarton.wikidot.com/

Professional homepage

https://isearch.asu.edu/profile/24728

ORCID?

No associated orcid account.

GitHub?

https://github.com/cmbarton

My interests center around long-term human ecology and landscape dynamics with ongoing projects in the Mediterranean (late Pleistocene through mid-Holocene) and recent work in the American Southwest (Holocene-Archaic). I’ve done fieldwork in Spain, Bosnia, and various locales in North America and have expertise in hunter/gatherer and early farming societies, geoarchaeology, lithic technology, and evolutionary theory, with an emphasis on human/environmental interaction, landscape dynamics, and techno-economic change.

Quantitative methods are critical to archaeological research, and socioecological sciences in general. They are an important focus of my research, especially emphasizing dynamic modeling, spatial technologies (including GIS and remote sensing), statistical analysis, and visualization. I am a member of the open source GRASS GIS international development team that is making cutting edge spatial technologies available to researchers and students around the world.

The MML is a hybrid modeling environment that couples an agent-based model of small-holder agropastoral households and a cellular landscape evolution model that simulates changes in erosion/deposition, soils, and vegetation.

This model represents technological and ecological behaviors of mobile hunter-gatherers, in a variable environment, as they produce, use, and discard chipped stone artifacts. The results can be analyzed and compared with archaeological sites.

Peer reviewed Swidden Farming Version 2.0

C Michael Barton | Published Wed Jun 12 23:54:35 2013 | Last modified Wed Sep 3 23:37:34 2014

Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.

Hominin Ecodynamics v.1.1 (update for perception and interaction)

C Michael Barton | Published Wed Aug 15 23:17:18 2012 | Last modified Sat Apr 27 20:18:34 2013

Models land-use, perception, and biocultural interactions between two forager populations.

Hominin ecodynamics v.2

C Michael Barton | Published Mon Sep 19 19:55:00 2011 | Last modified Fri Mar 28 05:17:32 2014

Simulates biobehavioral interactions between 2 populations of hominins.

Peer reviewed Hominin ecodynamics v.1

C Michael Barton | Published Sat Oct 1 00:20:15 2011 | Last modified Fri Mar 28 05:07:40 2014

Biobehavioral interactions between two populations under different movement strategies.

Diet breadth model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Wed Nov 26 23:19:21 2008 | Last modified Thu Mar 12 20:04:31 2015

Diet breadth is a classic optimal foraging theory (OFT) model from human behavioral ecology (HBE). Different resources, ranked according to their food value and processing costs, are distributed in th

Patch choice model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Sat Nov 22 19:11:16 2008 | Last modified Sat Apr 27 20:18:43 2013

NetLogo model of patch choice model from optimal foraging theory (human behavioral ecology).

Swidden farming by individual households

C Michael Barton | Published Sun Apr 27 16:49:11 2008 | Last modified Sat Apr 27 20:18:48 2013

Swidden Farming is designed to explore the dynamics of agricultural land management strategies.

Coming soon.

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