Spatiotemporal processes and their implementation in Spatial System Dynamics models
Authored by Christian Neuwirth, Barbara Hofer, Angela Peck
Date Published: 2015
DOI: 10.1080/14498596.2015.997316
Sponsors:
Austrian Science Fund (FWF)
Platforms:
Python
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Computer-based modelling is indispensable to science. Be it in the field
of social or environmental science, modelling is used to learn, to gain
new insights into behaviours and to raise awareness. In addition to
Cellular Automaton and Agent-Based Modelling, System Dynamics (SD) has
evolved as an approach which opened up the field of mathematical
modelling to non-mathematicians by establishing a simple Visual
Modelling Language. Even though there have been recent developments in
expanding SD to include space, Spatial System Dynamics (SSD) hasn't
received much attention in geosciences. The typology of SSD introduced
in this paper is intended to spur discussions on future possible uses.
Models are categorised into three process groups: local processes, diffusion processes and processes that modify space itself. For the
latter category spatial analysis may be incorporated into SSD
applications. This has been illustrated by means of a model on the
co-evolution of surface runoff and landform change.
Tags
Simulation
environment
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