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Category:Data analysis methods

From Coastal Wiki
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This is the Data analysis methods category.

Pages in category "Data analysis methods"

The following 15 pages are in this category, out of 15 total.

A

  • Analysis of coastal processes with Empirical Orthogonal Functions
  • Artificial Neural Networks and coastal applications

D

  • Data analysis techniques for the coastal zone
  • Data interpolation with Kriging
  • Detecting the unknown - novelty detection of exceptional water reflectance spectra

L

  • Linear regression analysis of coastal processes

R

  • Random Forest Regression
  • Reduction of uncertainties through Data Model Integration (DMI)

S

  • Satellite-derived nearshore bathymetry
  • Support Vector Regression
  • Suspended particulate matter distribution in the North Sea

U

  • Using model simulations to support monitoring - Implementation & Results
  • Using model simulations to support monitoring - Methods&Techniques
  • Using satellite data for global wave forecasts

W

  • Wavelet analysis of coastal processes
Retrieved from "https://www.coastalwiki.org/w/index.php?title=Category:Data_analysis_methods&oldid=74946"
Category:
  • Coastal and marine observation and monitoring
  • This page was last edited on 29 June 2019, at 16:49.
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