Publication:
Algorithms for the spatial interpolation of environmental data

dc.contributor.advisorMolina Bulla, Harold Yesid
dc.contributor.authorSánchez Viloria, Simón Esteban
dc.contributor.departamentoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.date.accessioned2022-12-02T18:07:39Z
dc.date.available2022-12-02T18:07:39Z
dc.date.issued2022-06
dc.date.submitted2022-07-12
dc.description.abstractSpatial interpolation is a technique used widely in the environmental sciences to estimate values between measurements obtained from remote sensors. Deterministic algorithms such as Inverse-distance Weighting and Radial Basis Functions and statistical methods like Kriging have been the most preferred methods for this kind of problem in the past. More recently, machine learning algorithms have begun to adapt to this problem. This works attempts to make a survey of the various commonly used and novel methods that can be used to perform spatial interpolation. We make an empirical study where various techniques are used to estimate significant wave height measurements using data obtained from the National Data Buoy Center (NDBC) of the United States’ Oceanographic and Atmospheric Administration (NOAA). We show that Machine Learning methods can be reliable and more accurate alternatives to other commonly used methods.es
dc.description.degreeCiencia e Ingeniería de datoses
dc.identifier.urihttps://hdl.handle.net/10016/36154
dc.language.isoenges
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherSpatial interpolationes
dc.subject.otherMachine learninges
dc.subject.otherAlgorithmses
dc.subject.otherStatistical methodses
dc.subject.otherKriginges
dc.titleAlgorithms for the spatial interpolation of environmental dataes
dc.typebachelor thesis*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
TFG_Simon-Esteban_Sanchez_Viloria.pdf
Size:
10.46 MB
Format:
Adobe Portable Document Format
Description: