Portfolio item number 1
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An interactive system that lets users upload large geospatial datasets and rapidly explore, style, and compare layers—guided by LLM suggestions and powered by scalable vector tiles.
A fast and scalable technique for generating circle-based quasi-cartograms that preserve topology while supporting large geospatial datasets.
A scalable force-directed framework that integrates geographic anchoring to produce clearer, more spatially faithful graph layouts.
A catalogue-driven, LLM-assisted system for interactive exploration of large geospatial repositories—semantic dataset search, bounded enriched-schema summaries, tile-based visualization, and generated map styles.
A data-management framework for scalable, high-fidelity client-side geospatial visualization that formalizes visualization-aware tile reduction and prunes tiles via triage and sparsification.
A pip-installable Python library that takes GeoParquet and GeoJSON all the way to low-latency web map tiles—spatial partitioning, density-driven MVT generation, and a caching tile server in one workflow.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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