A spatial and statistical analysis of the impact of transformation of raster cost surfaces on the variation of least-cost paths

Autor: Rachel Mundeli Murekatete, Takeshi Shirabe
Rok vydání: 2018
Předmět:
Zdroj: International Journal of Geographical Information Science. 32:2169-2188
ISSN: 1362-3087
1365-8816
DOI: 10.1080/13658816.2018.1498504
Popis: Planners who are involved in locational decision-making often useraster-based geographic information systems to quantify the valueof land in terms of suitability or cost for a certain use. From acomputational point of view, this process can be seen as a transformationof one or more sets of values associated with a grid ofcells into another set of such values through a function reflectingone or more criteria. While it is generally anticipated that differenttransformations lead to different ‘best’ locations, little has beenknown on how such differences arise (or do not arise). The paperattempts to answer this question in the context of path planningthrough a series of computational experiments using a number ofrandom landscape grids with a variety of spatial and nonspatialstructures. In the experiments, we generated least-cost paths on anumber of cost grids transformed from the landscape grids usinga variety of transformation parameters and analyzed the locationsand (weighted) lengths of those paths. Results show that the samepair of terminal cells may well be connected by different least-costpaths on different cost grids though derived from the same landscapegrid and that the variation among those paths is affected byhow given values are distributed in the landscape grid as well asby how derived values are distributed in the cost grids. Mostsignificantly, the variation tends to be smaller when the landscapegrid contains more distinct patches of cells potentially attractingor distracting cost-saving passage or when the cost grid contains asmaller number of low-cost cells. QC 20181002
Databáze: OpenAIRE
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