K-Means Clustering of 51 Geospatial Layers Identified for Use in Continental-Scale Modeling of Outdoor Acoustic Environments

K-Means Clustering of 51 Geospatial Layers Identified for Use in Continental-Scale Modeling of Outdoor Acoustic Environments

Applying machine learning methods to geographic data provides insights into spatial patterns in the data as well as assists in interpreting and describing environments. This paper investigates the results of k-means clustering applied to 51 geospatial layers, selected and scaled for a model of outdo...

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Bibliographic Details
Main Authors: Katrina Pedersen, Ryan R. Jensen, Lucas K. Hall, Mitchell C. Cutler, Mark K. Transtrum, Kent L. Gee, Shane V. Lympany
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
k-means
clustering
ambient noise
sound mapping
GIS
Online Access:https://www.mdpi.com/2076-3417/13/14/8123

Internet

https://www.mdpi.com/2076-3417/13/14/8123

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