- Home
- Science
- Life Sciences
- Introduction to Spatial Data Analysis - 9781784272135
Introduction to Spatial Data Analysis - 9781784272135
List Price:
$47.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Martin Wegmann, Jakob Schwalb-Willmann, Stefan Dech
Format:
Paperback
Pages:
300
Publisher:
Pelagic (November 7, 2020)
Imprint:
Pelagic
Language:
English
ISBN-13:
9781784272135
ISBN-10:
1784272132
Weight:
16.32oz
Dimensions:
6.76" x 9.68" x 0.43"
File:
Eloquence-SimonSchuster_04022026_P9912986_onix30_Complete-20260402.xml
Folder:
Eloquence
List Price:
$47.99
Pub Discount:
32
Case Pack:
16
As low as:
$45.59
Publisher Identifier:
P-SS
Discount Code:
H
Overview
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 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
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 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
