116,69 €
Spectral Methods in Geodesy and Geophysics
Spectral Methods in Geodesy and Geophysics
  • Išparduota
Spectral Methods in Geodesy and Geophysics
Spectral Methods in Geodesy and Geophysics
El. knyga:
116,69 €
The purpose of the book is to provide a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. The basic motivation is to get students to think about spatial data in the corresponding spectral domain. As such, the book emphasizes spatial-frequency analysis for data on the plane and sphere. Most books in spectral analysis develop the topic for time signals and are oriented to…

Spectral Methods in Geodesy and Geophysics (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

(4.00 Goodreads įvertinimas)

Formatai:

116,69 € El. knyga

Aprašymas

The purpose of the book is to provide a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. The basic motivation is to get students to think about spatial data in the corresponding spectral domain. As such, the book emphasizes spatial-frequency analysis for data on the plane and sphere. Most books in spectral analysis develop the topic for time signals and are oriented to electrical and communications engineering. There are very few books for the spatial domain, which develop methods in two dimensions on the plane or the sphere for geodetic and geophysical applications. In the modern era of satellite remote sensing, these techniques are particularly important, as space-borne sensors generate global data (gravity, magnetics, topography, sea level, etc.). The proposed book includes applications to stochastic processes on the plane and sphere, which are important for many estimation problems that are based on some kind of stochastic constraints in inverse theory. There is a final chapter that briefly outlines wavelet analysis. Although a bit outside the scope, it is included to illustrate the contrast to traditional spectral analysis, going more toward a time-frequency analysis. For example, some applications such as wavelet-denoising, as opposed to low-pass filtering, are considered important supplements to the usual spectral methods.



This book does not compete with the plethora of recent books on Spatial Data Analysis, which typically do not develop methods in the spectral domain. There are a few books on spectral methods in geophysics (none in geodesy) with which this book might compete. However, those books tend to emphasize specific applications, such as seismology or meteorology, rather than more general spatial signals on the plane and sphere. What this proposed book offers is more fundamental in this respect, and thus offers unique perspective for students in the geosciences.

116,69 €
Prisijunkite ir už šią prekę
gausite
1,17 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Kaip skaityti el. knygas ACSM formatu?

Mažiausia kaina per 30 dienų: 115,89 €

Mažiausia kaina užfiksuota: 2026-10-23 01:30:02


The purpose of the book is to provide a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. The basic motivation is to get students to think about spatial data in the corresponding spectral domain. As such, the book emphasizes spatial-frequency analysis for data on the plane and sphere. Most books in spectral analysis develop the topic for time signals and are oriented to electrical and communications engineering. There are very few books for the spatial domain, which develop methods in two dimensions on the plane or the sphere for geodetic and geophysical applications. In the modern era of satellite remote sensing, these techniques are particularly important, as space-borne sensors generate global data (gravity, magnetics, topography, sea level, etc.). The proposed book includes applications to stochastic processes on the plane and sphere, which are important for many estimation problems that are based on some kind of stochastic constraints in inverse theory. There is a final chapter that briefly outlines wavelet analysis. Although a bit outside the scope, it is included to illustrate the contrast to traditional spectral analysis, going more toward a time-frequency analysis. For example, some applications such as wavelet-denoising, as opposed to low-pass filtering, are considered important supplements to the usual spectral methods.



This book does not compete with the plethora of recent books on Spatial Data Analysis, which typically do not develop methods in the spectral domain. There are a few books on spectral methods in geophysics (none in geodesy) with which this book might compete. However, those books tend to emphasize specific applications, such as seismology or meteorology, rather than more general spatial signals on the plane and sphere. What this proposed book offers is more fundamental in this respect, and thus offers unique perspective for students in the geosciences.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)