Combining Geographic Information Systems and Agent-Based Models in Archaeology: Part 2 of 3

Abstract

Archaeologists are using spatial data in increasingly sophisticated analyses and invoking more explicit considerations of space in their interpretations. Geographic information systems (GIS) have become standard technology for professional archaeologists in the collection and management of spatial data. Many calls have been made to develop and adapt digital geospatial technologies for interpretation and understanding past social dynamics, but this has been limited to some extent by the static nature of map-oriented GIS approaches. Here, we illustrate how coupling GIS with agent-based modeling (ABM) can assist with more dynamic explorations of past uses of space and geospatial phenomena.

The Role of Modeling and Synthesis in Creative Mitigation

“…Simulation models start with a set of simplified formal rules for how a cultural system, economic activity, or other process operates and then simulate how those rules play out in a dynamic system under varying conditions, using approaches such as agent-based modeling (Perreault and Brantingham 2011;Premo 2006Premo , 2015. Simulation modeling has been applied to a wide array of archaeological problems but has thus far been used rarely in developing ALMs, although ALM applications show promise and can be richly informative (Davies et al 2019;Kohler and Varien 2012). 2019;Homburg et al 2014Homburg et al , 2017, and cultural landscape models (Barrett et al 2007;Fairclough 2003;Heilen and Altschul 2019).…”

Subpixel matching method for remote sensing image of ground features based on geographic information

“…They will be used as the control block pairs between the measured image and the reference image. According to the corresponding geometric transformation relationship between the measured image and the reference image established above, the matching and positioning of the measured remote sensing image and the reference image can be carried out under the least square error criterion, also known as the least square matching and positioning [11,12]. It is assumed that the corresponding geometric transformation relationship between the measured image and the reference image Then, there are the least-squares solutions of A and B…”

Who Follows the Elephant Will Have Problems: Thought on Modelling Roman Responses to Climate (Changes)

“…Most of my work within archaeological settings involves some kind of modelling. What I try to do in this chapter is propose how to study (Roman) responses to climate (changes) using models-especially so-called agent-based models (ABM) (see Romanowska et al, 2019;Davies et al 2019;Crabtree et al 2019 for a useful overview)-reflecting on work that I have published with my students and colleagues in recent years.…”