Automating Physical Planning with GIS, Machine Learning & F4P-PPA Toolbox
6 videos • 87 views • by Kamlas Muwalab This playlist is a 6-part master series designed to show how the Fit-for-Purpose Physical Planning Approach (F4P-PPA) is transforming urban and regional planning in Africa.📌 What you’ll learn in this series:✔ How automation and machine learning accelerate physical planning✔ Using GIS, remote sensing, and multi-criteria evaluation for fast, data-driven decision-making✔ Reducing baseline analysis time from months to weeks✔ Developing climate-smart, inclusive, and cost-effective Physical Development Plans (PDPs)✔ Practical demonstrations using real project data from Pakele Sub-County, UgandaEach video walks you through a critical step of the planning process:Introduction to the F4P-PPA ToolboxTerrain Analysis from DEMAccessibility and Settlement MappingSocial Services Proximity AnalysisMulti-Criteria Evaluation for Land Use SuitabilityFull Automation: From Data Input to Map ProductionIf you’re a planner, GIS analyst, land administrator, policy maker, or tech enthusiast, this series is for you.👉 Subscribe and follow the series to see how we’re rethinking planning for Africa – faster, smarter, and more inclusive.🔗 Let's Connect:🌍 Portfolio: https://kamlasmuwalab.com/💼 LinkedIn: https://www.linkedin.com/in/douglas-k... Instagram: https://www.instagram.com/majestic_do... #Automation #MachineLearning #GIS #UrbanPlanning #AfricaDevelopment #ClimateResilience #SmartCities