Abstract
GeoComputation is an important component of the body of knowledge within Geographic Information Science and Technology. The US University Consortium for Geographic Information Science lists eight thematic areas of GeoComputation research. These are: neurocomputing, cellular automata, heuristics, genetic algorithms, agent-based models, simulation modeling, uncertainty, and fuzzy sets. In addition, these areas of GeoComputation research are usually complemented with research from spatial statistics, spatial regression, data mining, machine learning, and advanced network analysis to name a few, all with the goal to enhance the science of regional systems and improve spatial planning and decision-making. In this chapter, we restate the scientific lineage of GeoComputation and position this field of research in relation to Geography, Geographic Information Science, and Regional Science. We also focus on the existing and potential contributions of this line of research to the knowledge about and the understanding of regional systems. The Chapters of this edited volume are presented within this context.
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Thill, JC., Dragicevic, S. (2018). GeoComputational Research on Regional Systems. In: Thill, JC., Dragicevic, S. (eds) GeoComputational Analysis and Modeling of Regional Systems. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-59511-5_1
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DOI: https://doi.org/10.1007/978-3-319-59511-5_1
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