1. Geospatial competitiveness analysis (GCA) a. What is GCA: GCA integrates geospatial data with supply chain mapping, value chain and cluster analysis, trade logistics analysis, and agent-based modelling to provide a comprehensive competitiveness diagnostic by accounting for access and connectivity to input supplies and destination markets, human geography and limitations of infrastructure systems. b. How is GCA used: i. Land use and industrial zone planning: Geospatial and logistics analysis for site selection and site suitability assessment; infrastructure design, monitoring, and maintenance; traffic flow design; water and waste management; human geography; and industrial symbiosis. For prospective sites, GCA delivers detailed analytics for optimal site selection that maximizes value creation, while minimizing cost, time to market and socio-environmental impact. For existing sites, GCA provides data-driven solutions on resource management, physical development and policy needed to overcome barriers to competitiveness. ii. Tourism design, monitoring, and maintenance: Crowd flow optimization, circuit planning and maximization of productive assets using geospatial analysis combined with agent-based modelling to assess the socio-economic and environmental impact of increased tourism activity. iii. Disaster assessment and risk management, relief planning and monitoring: Real-time disaster site monitoring and impact forecasting, relief delivery optimization, and recovery plan modelling. iv. Forestry and range management and monitoring: · Range management: Rangeland optimization modelling based on data-driven analytics of ground cover and density, available water resources, livestock density, and climate change. · Forestry: Remote monitoring of tree and plant type, age and density, logging activities and reforestation modelling. v. Agriculture: · Smallholder agriculture: Agro-spatial mapping at national, regional, village, or individual farm level using satellite and drone imaging that offers comprehensive site assessment to define optimal climate-resilient cropping options that maximize available resources based on climate change scenario models. Examples of such options include variable rate fertilizer and chemical application to help farmers reduce costs and environmental impact by minimizing runoff while maintaining yield. · Commercial agriculture: Agro-spatial zone planning using satellite and drone-based imagining for infrastructure design, crop planning to optimize available land and resources, and connectivity to input supply and destination markets. GCA is used for crop monitoring, pest and water management, and yield rate modelling. c. What we do: The GDS team applies its suite of analytical tools and methodologies to analyze, design, and implement a comprehensive GCA tailored for our clients' needs. d. How our clients benefit: Clients receive a customized, prioritized, action-ready roadmap, backed by quantitative analysis and images, that effectively responds to short-, medium- and long-term opportunities for growth and challenges undermining competitiveness. Clients also benefit from a mobilization team that can deliver results on the ground and provide follow up to ensure sustainability