Geodatabase created to support the research by the Drugs and (dis)order project, investigating the social-political dimensions of illicit drug economies in the context of war to peace transitions in the borderlands of Colombia. The geodatabase contains spatial data for the borderland areas studied on research sites, border crossings, narcotics (coca production), borderland points of interest, administrative boundaries, population, transport and road networks, infrastructure (mining areas, cell towers, visible lights at night), agriculture and hydrology.Drugs & (dis)order is a Global Challenges Research Fund (GCRF) project generating new evidence on how to transform illicit drug economies into peace economies in Afghanistan, Colombia and Myanmar. By 2030, more than 50% of the world’s poor will live in fragile and conflict-affected states. And many of today’s armed conflicts are fuelled by illicit drug economies in borderland regions. Trillions of dollars have been spent on the War on Drugs, but securitised approaches have failed. In fact, they often increase state fragility and adversely affect the health and livelihoods of communities and households. In light of these failures, there’s increasing recognition that drug policies need to be more pro-poor and aligned with the Sustainable Development Goals (SDGs). But the evidence base for this policy reform is patchy, politicised and contested. Drugs & (dis)order is helping to generate pro-poor policy solutions to transform illicit economies into peace economies. To do this we will: (1) Generate a robust evidence base on illicit drug economies and their effects on armed conflict, public health and livelihoods. (2) Identify new approaches and policy solutions to build more inclusive development and sustainable livelihoods in drugs affected contexts. (3) Build a global network of researchers and institutions in Afghanistan, Colombia, Myanmar and the UK to continue this work.

Data layers are sourced from existing geospatial data layers, Open Street Map and created from satellite images. Information on provenance and how each data layer was created, with baseline data sources used, is included in the metadata for each layer within the geodatabase. All layers are also listed in the data register attached.