Introduction to Environmental Data Science

The book "Environmental Research Methods: A Spatial and Temporal Approach" provides a comprehensive guide to environmental research methods, covering both spatial and temporal domains, with examples of applications using field-collected data and government and NGO sources. It includes class-tested exercises and a solutions manual for instructors.

Format: Hardback
Length: 382 pages
Publication date: 13 March 2023
Publisher: Taylor & Francis Ltd

The book provides a comprehensive exploration of the essential requirements for environmental research across both spatial and temporal domains. It showcases a wide range of real-world applications that utilize field-collected data, encompassing individual observations to data logging. Additionally, it includes examples of applications involving government and NGO sources, encompassing satellite imagery and environmental data collected by regulatory bodies like the EPA. Each chapter includes class-tested exercises, with a solutions manual available for instructors. Furthermore, all examples and exercises utilize a GitHub package for functions and data, making it an invaluable resource for students and professionals alike.

Chapter 1: Introduction to Environmental Research

In this chapter, the book provides an overview of the field of environmental research, highlighting its importance in understanding and addressing environmental challenges. It discusses the need for interdisciplinary approaches and the integration of various scientific disciplines to address complex environmental problems. The chapter also introduces the spatial and temporal dimensions of environmental research and the challenges associated with studying environmental processes at different scales.

Chapter 2: Data Collection and Analysis in Environmental Research

This chapter explores the various methods and techniques used for collecting environmental data. It discusses the advantages and disadvantages of different data sources, such as field observations, remote sensing, and laboratory experiments. The chapter also covers data analysis methods, including statistical analysis, spatial analysis, and machine learning, and their applications in environmental research.

Chapter 3: Applications of Field-Collected Data in Environmental Research

In this chapter, the book showcases a wide range of applications that involve field-collected data. It includes examples from various environmental fields, such as ecology, hydrology, meteorology, and environmental engineering. The examples cover topics such as species distribution, water quality monitoring, climate change detection, and land use change analysis. The chapter emphasizes the importance of data quality control, data validation, and data interpretation in environmental research.

Chapter 4: Applications of Government and NGO Sources in Environmental Research

This chapter explores the use of government and NGO sources in environmental research. It discusses the advantages and disadvantages of using these sources, including the availability of data, data quality, and data privacy concerns. The chapter provides examples of applications involving satellite imagery, environmental data collected by regulatory bodies, and environmental monitoring programs. It also highlights the role of government and NGO organizations in environmental research and policy development.

Chapter 5: Class-tested Exercises in Environmental Research

Each chapter in the book includes class-tested exercises that reinforce the concepts and principles discussed in the preceding chapters. The exercises cover a wide range of topics, including data analysis, hypothesis testing, and problem-solving. The solutions manual provides detailed explanations and guidance for solving the exercises, making it an invaluable resource for students.

Chapter 6: Conclusion and Future Directions

In this chapter, the book summarizes the key findings and conclusions of the previous chapters. It discusses the future directions of environmental research, including emerging technologies, interdisciplinary collaborations, and the need for sustainable environmental practices. The chapter also highlights the importance of public awareness and education in promoting environmental sustainability.

Chapter 7: Appendix: GitHub Package for Functions and Data

This appendix provides a detailed description of the GitHub package for functions and data used in the book. It includes a link to the repository, instructions for installation, and a list of functions and data available for use in the examples and exercises. The package is designed to make it easy for students to access and utilize the necessary tools for environmental research.

In conclusion, the book provides a comprehensive and up-to-date introduction to environmental research, covering both spatial and temporal domains. It showcases a wide range of real-world applications that utilize field-collected data and government and NGO sources. The book includes class-tested exercises, a solutions manual, and a GitHub package for functions and data, making it an invaluable resource for students, researchers, and professionals in the field.

Weight: 970g
Dimension: 260 x 184 x 24 (mm)
ISBN-13: 9781032322186