An Introduction to Spatial Data Analysis (Paperback)

Martin Wegmann

ISBN 10: 1784272132 / ISBN 13: 9781784272135

Published by Pelagic Publishing, Exeter, 2020

About this Item

Paperback. This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as What is the distance to the border of the protected area?, Which points are located close to a road?, Which fraction of land cover types exist in my study area? using different software and techniques.This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data.The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org.This book covers specific methods including:what to consider before collecting in situ datahow to work with spatial data collected in situthe difference between raster and vector datahow to acquire further vector and raster datahow to create relevant environmental informationhow to combine and analyse in situ and remote sensing datahow to create useful maps for field work and presentationshow to use QGIS and R for spatial analysishow to develop analysis scripts Readers will learn the essentials of spatial data handling using the open source software QGIS and be guided through the first steps in using the R programming language. The book includes the fundamentals of spatial data handling and analysis, working with real data from field to analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781784272135

Bibliographic Details

Title: An Introduction to Spatial Data Analysis (...

Publisher: Pelagic Publishing, Exeter

Publication Date: 2020

Binding: Paperback

Condition: new

About this title

Synopsis:

This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving relevant environmental information through remote sensing and modelling of species distributions.

This book introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as "What is the distance to the border of the protected area?", "Which points are located close to a road?", "Which fraction of land cover types exist in my study area?" using different software and techniques.


This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data.


The software used will be the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org.


This book covers specific methods including:


* what to consider before collecting in situ data

* how to work with spatial data collected in situ

* the difference between raster and vector data

* how to acquire further vector and raster data

* how to create relevant environmental information

* how to combine and analyse in situ and remote sensing data

* how to create useful maps for field work and presentations

* how to use QGIS and R for spatial analysis

* how to develop analysis scripts

About the Author:

Martin Wegmann has a PhD in remote sensing focusing on time-series analysis on land cover change and fragmentation in Africa. He teaches for more than 10 years courses in remote sensing analysis esp. for biodiversity and conservation. Bridging the gap between remote sensing and applied ecology or geography is his prime interest.