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Semivariogram-based distance function for gradual coverage location models
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DOI：10.1016/j.eswa.2024.126167.png)
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Abstract
En 中文
Location models that employ gradual coverage require the integration of a distance function, either within the objective function or among the constraints. Existing studies in this area often utilize linear or exponential distance functions as examples. However, the choice of distance function can significantly impact the outcomes. For scenarios with higher uncertainty, employing a tailor-made function that incorporates data specific to the study area can be advantageous. This research introduces the use of distance functions derived from variograms in gradual coverage location models. We present two case studies focusing on the design of flood monitoring networks, comparing the effectiveness of various variogram models in these contexts.
Keywords:
Location models
Gradual coverage
Semivariogram
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
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