Spatial Analysis with Python – From Basics to Applied GIS

Syllabus Class 1 Topics: What is Python? Why is it used in GIS? Python syntax: variables, strings, numbers, lists, dictionaries Control structures: if statements, for and while loops Functions and importing libraries Setting up your environment: Jupyter Notebook / Google Colab Hands-on Exercises Class 2 Introduction to Tabular and Spatial Data Objective: Introduce the concept of spatial data, Pandas, and GeoPandas for handling and visualizing vector data. Topics: What is spatial data? (Points, lines, polygons – real-world examples) What is a shapefile, and what is GeoJSON? Overview of tabular data with pandas Introduction to geopandas – how it builds on pandas Coordinate Reference Systems (CRS) – simple explanation Hands-on Exercises Class 3 Spatial Analysis with Vector Data Topics: Spatial joins: combine data based on location Attribute joins: merge data based on common fields Geometry operations: buffer, intersect, clip Dissolve and grouping features Hands-on Exercises Class 4 Visualization and Sharing Spatial Data Topics: Static maps vs interactive maps Customizing map visuals (colors, labels, legends) Exporting shapefiles and GeoJSON Introduction to web mapping using Folium Hands-on Exercises Class 5 Final Mini-Project and Recap Topics: Recap of key concepts Guidance on combining skills in a mini-project Exporting and sharing your work Tips for further learning and practice Mini-Project Ideas