In this book we cover a wide range of topics that currently are available only as a material included in many research papers. The material we cover is related to 35 years of research in spatial statistics and image processing. Our approach includes an exposition of the techniques keeping the mathematical and statistical background at a minimum so that the technical aspects are placed in an appendix in order to facilitate the readability. Each chapter contains a section with applications and R computations where real datasets in different contexts (Fisheries Research, Forest Sciences, and Agricultural Sciences) are analyzed. We trust that the book will be of interest to those who are familiar with spatial statistics and to scientific researchers whose work involves the analysis of geostatistical data. For the first group, we recommend a fast reading of Chap. 1 and then the chapters of interest. For the second group, the preliminaries given in Chap. 1 are recommended as a prerequisite, especially because of the language and notation used further in the book. The interdependence of the chapters is depicted below, where arrow lines indicate prerequisites. Extensive effort was invested in the composition of the reference list for each chapter, which should guide readers to a wealth of available materials. Although our reference lists are extensive, many important papers that do not fit our presentation have been omitted. Other omissions and discrepancies are inevitable. We apologize for their occurrence.

Spatial Relationships Between Two Georeferenced Variables

Moreno Bevilacqua
2020

Abstract

In this book we cover a wide range of topics that currently are available only as a material included in many research papers. The material we cover is related to 35 years of research in spatial statistics and image processing. Our approach includes an exposition of the techniques keeping the mathematical and statistical background at a minimum so that the technical aspects are placed in an appendix in order to facilitate the readability. Each chapter contains a section with applications and R computations where real datasets in different contexts (Fisheries Research, Forest Sciences, and Agricultural Sciences) are analyzed. We trust that the book will be of interest to those who are familiar with spatial statistics and to scientific researchers whose work involves the analysis of geostatistical data. For the first group, we recommend a fast reading of Chap. 1 and then the chapters of interest. For the second group, the preliminaries given in Chap. 1 are recommended as a prerequisite, especially because of the language and notation used further in the book. The interdependence of the chapters is depicted below, where arrow lines indicate prerequisites. Extensive effort was invested in the composition of the reference list for each chapter, which should guide readers to a wealth of available materials. Although our reference lists are extensive, many important papers that do not fit our presentation have been omitted. Other omissions and discrepancies are inevitable. We apologize for their occurrence.
File in questo prodotto:
File Dimensione Formato  
Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua - Spatial Relationships Between Two Georeferenced Variables _ With Applications in R (2020, Springer) [10.1007_978-3-030-56681-4] - libgen.li.pdf

non disponibili

Tipologia: Versione dell'editore
Licenza: Accesso chiuso-personale
Dimensione 6.79 MB
Formato Adobe PDF
6.79 MB Adobe PDF   Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5000859
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact