Portfolio item number 1
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Water Resources Research, 2014
Testing and developing methods for extracting channel heads from high-reoslution (1 m) lidar-derived digital elevation models
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013WR015167
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your tutorial, note the different field in type. This is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, Department of Geography, Durham University, 2021
I teach a lecture series for first year students that explores how active tectonics interact with Earth surface processes to build mountain ranges.
In this video I show how you can model stick and slip behaviour along faults at home. The experiment uses a brick, a wooden board and an elastic band and is easy to try yourself!
Undergraduate project, Department of Geography, Durham University, 2021
I’ve been developing a series of tutorials and Jupyter notebooks that guide you through how to download historical earthquake records and perform spatial and temporal analysis on the data in Python. They are run in Google Colaboratory, so you don’t need to have Python installed locally (you just need a Google account).
You can find links to the practicals here or on GitHub.