Key Methods in Geography
- Nicholas Clifford - Loughborough University, UK
- Meghan Cope - University of Vermont, USA
- Thomas Gillespie - University of California, Los Angeles, USA
Geographical Methodology | Qualitative Methods in Geography | Quantitative Methods in Geography
Key Methods in Geography is the perfect introductory companion, providing an overview of qualitative and quantitative methods for human and physical geography. The fourth edition of this essential and accessible primer covers the breadth of the discipline and offer critical and contextual perspectives on research methods. New coverage takes account of newer technologies and practice, and 9 new chapters bring greater diversity of positionality and perspective to the volume, including decolonial methods, predicting, visualizing and modelling climate and environmental change, and writing up research. Case study examples, summaries and exercises have been included in each chapter to enable learning.
This is vital reading for any student undertaking a Geography Methods module as well as a valuable resource for any student embarking on independent research as part of their degree.
An in-depth inquisition of the complex dynamic landscape associated with human and physical geography and their interactions, expertly articulated and packaged by an ecosystem of experts, key methods in geography is an ideal reference book for novice and experienced researchers.
Faith Njoki Karanja - Geoinformation Expert
This usefully revised book should be essential reading for any of our undergraduates (and even postgraduates), particularly those undergrads in their final year that are undertaking independent diss/project work. As I have done with previous editions, I will certainly recommend it to all my supervisees and will suggest to colleagues that they do the same. Many colleagues probably already do so, either through the tutorial programme, the dissertation/project modules or fieldwork modules.
[One thought: in future editions, there will perhaps be a need for a dedicated chapter on use of AI in research. I notice that AI appears in the index of this volume but understandably doesn't cover the latest developments in the field (e.g. release of ChatGPT and the like).]
It is important for students to have a disciplinary book that confirm all of them how to make their research dissertation.
