Image of geologist working on rocky island outcrops in Antarctica

Welcome to GeoDataAnalytics

Geology, data science and applications.

Rian Dutch

Using Python to handle large geochemical datasets

The Geological Survey of South Australia (GSSA) holds a wealth of data in its geoscientific database SA Geodata. SA Geodata is the primary repository for geoscientific information in South Australia and contains open source data collected from a variety of sources. The SA Geodata database contains over 10 Gb of…

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Rian Dutch

What are explorers looking for in S.A.? Part 1

Finding topics in exploration reports using natural language processing. When people think about data, often they think about tabular data sets of numbers. But there is a wealth of data and knowledge hiding in unstructured textural data sets such as company exploration reports. Natural Language Processing (NLP) is the field…

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Rian Dutch

What are explorers looking for in S.A.? Part 2

Spatially assessing the distribution of exploration topics using python. In the previous article, I demonstrated an application of NLP topic modelling using Latent Dirichlet Allocation and the Gensim library to identify themes in South Australian exploration report summaries. That ML model identified eight coherent topics in the report data set…

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Rian Dutch

What is GeoDataAnalytics

GeoDataAnalytics is a place for me to share my passion and excitement about geology, data science and technology. It's a place for me to get ideas out there, to give back to the community and hopefully to start conversations about what's possible at the intersection of geology and data science.

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Rian Dutch

Lithology prediction app

This web app tries to predict a rocks protolith from major element geochemistry, using an algorithm trained on over half a million labelled global geochemical data. When you input your major element data, the model will try to predict if your sample is either igneous or sedimentary. The rock will…

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