Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model

Jan Philipp Dietrich, Alexander Popp and Hermann Lotze-Campen

Ecological Modelling, 2013, vol. 263, issue C, 233-243

Abstract: Global land-use models have to deal with processes on several spatial scales, ranging from the global scale down to the farm level. The increasing complexity of modern land-use models combined with the problem of limited computational resources represents a challenge to modelers. One solution of this problem is to perform spatial aggregation based on a regular grid or administrative units such as countries. Unfortunately this type of aggregation flattens many regional differences and produces a homogenized map of the world. In this paper we present an alternative aggregation approach using clustering methods. Clustering reduces the loss of information due to aggregation by choosing an appropriate aggregation pattern.

Keywords: Aggregation; Downscaling; Clustering; Information conservation; Land use model; Scale (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:263:y:2013:i:c:p:233-243

DOI: 10.1016/j.ecolmodel.2013.05.009

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