Tagged: data visualisation
This is the author resource for my PhD thesis (2021): Interactive Visualization for Data Inference in the Geosciences. The full PDF is available here: DOI: 10.13140/RG.2.2.24579.63523 Publication Repository: http://ecite.utas.edu.au/rmdb/ecite/q/ecite_view_author/25587 Software Repository: https://zenodo.org/record/3264037 Github: https://github.com/pemorse/data-visualization-tools Links to published papers for individual chapters are provided below. Degree Doctor of Philosophy, Discipline of Earth...
Over the last few months, I’ve been wrapping up my part-time second PhD, looking forward to new challenges. The research has focussed on interactive data visualisation and immersive analytics, principally developing a suite of software tools for visualisation and analysis of geoscientific data. They’re pretty much ‘discipline agnostic’ and could...
Dark has a dedicated Information Page here: https://www.petermorse.com.au/2019/06/dark-the-fulldome-movie/
In December 2011 the Syn[a] Group, in concert with AARnet and the TSO, ran a 5 day workshop at the University of Tasmania Conservatorium of Music, where we visualised the biometric data of musical performers and transmitted this over high-bandwidth networks (AARNet) in stereoscopic 3D, creating an immersive augmented telepresence...
Some months ago I attended a workshop held by the CEAMARC group of the Census of Antarctic Marine Life (CAML), held at the Australian Antarctic Division. It provided me with a fascinating overview of the extensive activities of both CAML and CEAMARC, and opened the doors to an amazing array...
Ocean (2009) from Peter Morse on Vimeo. A visualisation of the global ocean derived from the GEBCO dataset. Rendered at 4k Fulldome resolution. This is an excerpt from ongoing work – there is so much to do with this and I have only splashed the surface of the data. The...
A short overview of work-in-progress visualising the GEBCO dataset (General Bathymetric Chart of the Oceans) The visualisation involved developing a derived dataset from GEBCO in reference to WGS’84, where we have effectively ‘removed’ the entire Earth – all the continents, islands and geology above and below sea level. What remains...