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Geospatial Analysis: Working with MODIS data

Jupyter notebook here The Moderate Resolution Imaging Spectroradiometer (MODIS) is an imaging sensor built by Santa Barbara Remote Sensing that was launched into Earth orbit by NASA in 1999 on b...

Portfolio Optimisation: Monte Carlo method

Jupyter notebook here Given a fixed amount of available resources, optimise allocation to maximise returns across a set of products with variable returns. Following the Modern Portfolio Theory ...

A guide to clustering large datasets with mixed data-types

Please see the updated version of this post here

How to containerize a simple Rest API using Python Flask

You’ve conducted your research, analysed the data, built models, and packaged everything up in a user friendly application that is ready to be shared and published within your research community an...

Using machine learning to cleanse datasets: classifying column headers in data tables

When dealing with large volumes of inbound data files from multiple different sources, the data received can often come in a variety of formats, structures and to varying standards. One particular...

An introduction to hashing functions for data mining

This post is intended to provide a quick introduction to hash functions and to discuss some practical applications of hashes in data mining and machine learning. The aim of this post is to provide ...

Hello Jekyll!

Hello and welcome to my new Research and DataScience portfolio page. Update March 2021 I have now adopted the Chirpy theme. On this site I’ll be posting links to projects, demos, and training mat...

Earth Surface Processes and Landforms: classification of rare events for landslide early warning systems

Link to my 2018 paper in ESPL. Abstract Translational landslides and debris flows are often initiated during intense or prolonged rainfall. Empirical thresholds aim to classify the rain conditio...

Environmental Research Letters: agent simulation of natural hazards in complex networks

Link to my 2017 paper in ERL. Abstract Disruptions to transportation networks by natural hazard events cause direct losses (e.g. by physical damage) and indirect socio-economic losses via travel...