Spatial Analysis with R

Statistics, Visualization, and Computational Methods
3. Auflage 2027
ISBN: 978-1-041-23729-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm

The third edition explores the evolving landscape of spatial analysis, integrating cutting-edge developments in R, artificial intelligence, and machine learning with spatial perspectives. It addresses the growing importance of big data and location-based analytics across diverse applications from movement tracking to emergency response planning and GeoAI. In response to demands for accessible spatial data visualization and pattern discovery, the book emphasizes techniques for generating actionable spatial information to support decision-making. Each chapter now concludes with a practical 5-minute analytical workbook designed to enhance spatial thinking skills through hands-on examples.

New in the Third Edition:

-  Balances core spatial statistics principles with thoroughly updated practicums for comprehensive geographical data analysis.

- Covers analysis of point, areal, and geostatistical data and the chapter explaining big data, data management, and data mining is methodically updated.

- Uses R programming for practical exercises and worked out examples throughout the text.

- Illustrates concepts using real data from social and environmental sciences for applied learning.

- Offers new practical spatial analysis worktables, laboratory activities, interesting new datasets, incredible insights, and superb graphics for skills development.

The third edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first year graduate students in geography and earth sciences.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Oyana, Tonny J.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Geowissenschaften Geographie | Raumplanung Geographie: Allgemeines, Karten & Atlanten
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

1. Understanding the Context and Relevance of Spatial Analysis. 2. Scientific Observations and Measurements in Spatial Analysis. 3.  Using Statistical Measures to Analyze Data Distributions. 4. Engaging in Exploratory Data Analysis, Visualization, and Hypothesis Testing. 5. Understanding Spatial Statistical Relationships. 6. Engaging in Point Pattern Analysis. 7. Engaging in Areal Pattern Analysis Using Global and Local Statistics. 8. Engaging in Geostatistical Analysis. 9. Data Science: Understanding Computing Systems and Analytics for Big Data.

Über Autor(innen)

Tonny J. Oyana is a renowned global scholar and researcher with extensive experience in health sciences, geospatial research, spatial analysis, visualization, and GIS technology. He received his PhD from the University of Buffalo in Buffalo, New York, in 2003. He is currently the College Principal at Makerere University's College of Computing and Information Sciences in Kampala, Uganda. He is a full professor of GIS and Spatial Analysis. He has over 32 years of academic experience, having served at prestigious international universities including Yonsei University and Kyungpook National University. He has written more than 125 scientific papers, including 66 journal articles, two books, 36 refereed conference proceedings, 12 book chapters, and 12 book reviews. He has also given over 130 papers at regional, national, and international conferences and produced over 46 technical reports.