11-05, 11:30–12:00 (America/New_York), Lake Audubon
The World Bank has developed a global database of geospatial aggregates at both a consistent, global hexagon level, and at official admin2 boundaries. Learn abou the justification, process, and use cases for this database.
Often in development, we look to national policies and comparisons between them to find examples of effective policy, whether this is in economic growth, job creation, or public service delivery. However, this focus on national comparisons limits our perspective to one scale of analysis. Within most countries, there is both more than one level of governance, and therefore policy and public investment, but there are also uneven initial endowments and resources, levels of private investment and capital flows, and other unique factors of place. Exploring these differences at various geographic scales can shed light on why development policy can be more effective in one region than another. For reasons of comparability, cost-effectiveness, and the mandates of data collectors, this spatially disaggregated data is often not available from one country to the next, and often not comparable.
The open-source database Space2Stats provides the foundation for these consistent, global analytics. We will introduce the database, explore its use cases, and describe how we are pushing the envelope in Cloud Native Geospatial (CNG) solutions to make the data accessible to technical and non-technical users.
Benjamin Stewart is the Sr. Geographer leading the World Bank's Geospatial Operational Support Team in DECDG. His primary focus is the analysis of satellite imagery in various development projects, but he has lots of experience in various forms of geospatial analysis focusing on energy, urban, and transport. He holds a BSc in Biology and the History of Science from the University of King’s College, and a Masters of Geography from the University of Victoria.