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PythonMaps

PythonMaps transforms complex geospatial data into stunning visual narratives that reveal the hidden patterns of our world. Through the power of Python and modern data visualization techniques, we create maps that not only inform but inspire, making the invisible visible and the complex comprehensible.

Our work bridges the gap between data science and art, turning raw geographic information into beautiful, meaningful visualizations that tell stories about our planet's population, environment, infrastructure, and natural features.

South American Population Density North American Rivers The World's Airports and Airways The Rivers of Europe The WOrld's Carbon Monoxide Emissions Topography of the British Isles The Population density of Bangladesh
The World's Shipping Lanes The Forests of South America The World's Forests The World's Carbon Dioxide Emissions The Topography of Greece The World's Ports The World's Railways The Population density of Europe The World's Methane Emissions
African Population Density The Population density of Egypt African Rivers The Population density of North America The Rivers of South East Asia The World's Undersea Cables The Topography of Afghanistan The Population density of the USA The Topography of the UK The Population density of the British Raj
South American Rivers The Roads of Europe The Topography of Pakistan The World's Airways Topography of the Sub Continent The Population density of South East Asia The Topography of Bangladesh The Population density of China The World's Population Density

PythonMaps by Dr. Adam Symington

The PythonMaps project aims to generate informative visualisations showing the world in new and interesting lights, in an artistic fashion. We also aim to show off the incredible utility of the Python programming language as well as the beautiful visualisations that are possible.

Dr. Adam Symington is a geospatial data scientist and consultant based in the United Kingdom. Over the last eight years he has worked on a wide range of projects across multiple companies, universities. Prior to his career in data science Adam was a computational chemist at the University of Bath in England where he used machine learning and other statistical techniques to predict the properties of materials. Adam has published 17 peer reviewed research papers, including 3 open source software papers, writes about geospatial data science on towards data science and runs the PythonMaps project, a project designed to spread the love of geospatial data through eye-catching visualisation.

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Services

Geospatial data often sits, gathering dust in a database where only a few people can make use of it. Converting this data into interesting maps and visualisations is the best way to get it in front of decision makers and tell a story. I operate on a freelance basis and create bespoke visualisations and maps on request. I have worked with many organisations, including marketing companies, journalists, publishers, authors and government departments. I have an incredibly wide range of software development, data visualisation and GIS skills that I can use to solve geospatial data science problems, with a particular focus on data visualisation and cartography.

Contact us at adam@pythonmaps.com for more details on the services we offer.

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