NASSA
The NASSA library is an open-source repository collecting stable, version-controlled modules to be used inside or in connection to (agent-based) simulation models that aim at representing socio-ecological systems and addressing archaeological questions: https://archaeology-abm.github.io/NASSA-hub
Visualising GIS Rasters and Vector Data in NetLogo
This module provides a framework for importing and visualising GIS data in NetLogo. It supports continuous raster data visualised using colour gradients, binary and categorical raster data visualised using discrete colour assignments, and point-based vector data visualised as turtle agents.
Angle-and-step random walk
An Python implementation of random walk in 2D space based on agent angle orientation and step distance. It defines an agent class `Walker` capable of random walk movement based on random angle and movement step distance in a continuous 2D space.
Random walk in data frames
Collection of methods for producing random walks in two-dimensional space outputting position coordinates in data frames, including alternatives for grid and non-grid space. In R, it uses tidyverse "tibble" to construct the data frames that store trajectories.
Resource exploitation procedure
This module takes an agent and lets it decide which resources to target and exploit. The agent moves to the patch to be harvested, takes the resources and returns home