Active learning for monitoring network optimization
This book provides an introduction to spatio-temporal design that contains a description of one or two basic settings (e.g., migration and biodiversity) that includes real data sets, data-generating mechanisms, and possible simulation scenarios. Furthermore, the book provides an overview of existing methodology, together with details of new theoretical developments and some practical applications; and discusses basic methods and distinguishes between design- and model-based approaches to collecting space-time data. Data examples are featured, and the same case studies are used throughout to demonstrate the different approaches and their integration.
Cite this item
Mueller, W., Mateu, J., Tuia, D., Pozdnoukhov, A., Foresti, L., & Kanevski, M. (2013). Active learning for monitoring network optimization. In Spatio-temporal design: advances in efficient data acquisition (pp. 285–318). John Wiley & Sons. https://doi.org/10.1002/9781118441862.ch13
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2013
Chichester
9780470974292
285
318
Statistics in Practice
OTHER