Geografia was formed in Australia in 2006, with the aim of bringing the techniques of complex systems analysis to how we plan for, develop and live in our cities, towns and regions. We now work around the country, as well as in SE Asia and Europe.
We are a multidisciplinary team conducting research and developing insights in demography, economics and spatial planning to inspire leaders and decision-makers to create a better future for communities around the world. We bring together more than one expert in a range of fields and techniques.
Kevin leads Geografia's systems modelling work in economics and demography.
Matt's experience spans infrastructure and spatial analysis in Asia and Australia.
Shoaib works on high-performance and scalable apps.
Dean uses data, statistics and machine learning to solve complex client problems.
Sophie focuses on quantitative analytical and modelling projects.
Tom specialises in economic development and impact studies and cost-benefit analysis.
Owen discovers and develops business and web application development opportunities within Geografia's domain.
Cesar specialises in infographics, map design and other aspects of Geografia's communication.
Nicki brings diverse skills to stakeholder engagement and social impact assessment.
Daniel is responsible for mapping and geospatial analysis.
We are always interested in working with people who are passionate about geography and spatial analysis.
A leading demographer, Tom works with Geografia on population modelling.
A Board director of Geografia, Liz also provides commercial services in business case development and financial analysis.
Marianne collaborates on economic modelling, planning and land use studies.
Tim partners with Geografia on larger scale economic planning projects.
Shashi applies his experience in urban economics and demand modelling to Geografia's projects.
We work for all tiers of government, the private sector and not-for-profit entities: any organisations or people who need to understand complex economic, demographic and spatial data.