Description
Chapter 1: Introduction to Geodata Chapter Goal: Presenting what geodata is, how to represent it, its difficulties No of pages 20 Sub -Topics 1. Geodata definitions 2. Geographical Information Systems and common tools 3. Standard formats of geographical data 4. Overview of Python tools for geodata Chapter 2: Coordinate Systems and Projections Chapter Goal: Introduce coordinate systems and projections No of pages: 20 Sub – Topics 1. Geographical coordinates 2. Geographical coordinate systems 3. Map projections 4. Conversions between coordinate systems Chapter 3: Geodata Data Types: Points, Lines, Polygons, Raster Chapter Goal: Explain the four main data types in geodata No of pages : 20 Sub – Topics: 1. Points 2. Lines 3. Polygons 4. Raster Chapter 4: Creating Maps Chapter Goal: Learn how to create maps in Python No of pages : 20 Sub – Topics: 1. Discover mapping libraries 2. See how to create maps with different data types Chapter 5: Basic Operations 1: Clipping and Intersecting in Python Chapter Goal: Learn clipping and intersecting in Python No of pages: 20 Sub – Topics: 1. What is clipping? 2. How to do clipping in Python? 3. What is intersecting 4. How to do intersecting in Python? Chapter 6: Basic Operations 2: Buffering in Python Chapter Goal: Learn how to create buffers in Python No of pages: 20 Sub – Topics: 1. What are buffers? 2. How to create buffers in Python Chapter 7: Basic Operations 3: Merge and Dissolve in Python Chapter Goal: Learn how to merge and dissolve in Python No of pages: 20 Sub – Topics: 1. What is the merge operation? 2. How to do the merge operation in Python? 3. What is the dissolve operation? 4. How to do the dissolve operation in Python? Chapter 8: Basic Operations 4: Erase in Python Chapter Goal: Learn how to do an erase in Python No of pages: 20 Sub – Topics: 1. What is the erase operation? 2. How to apply the erase operation in Python Chapter 9: Machine Learning: Interpolation Chapter Goal: Learn how to do interpolation Python No of pages: 20 Sub – Topics: 1.What is interpolation? 2.How to do interpolation in Python 3.Different methods for spatial interpolation in Python Chapter 10: Machine Learning: Classification Chapter Goal: Learn how to do classification on geodata in Python No of pages: 20 Sub – Topics: 1.What is classification? 2.How to do classification on geodata in Python? 3.In depth example application of classification on geodata. Chapter 11: Machine Learning: Regression Chapter Goal: Learn how to do regression on geodata in Python No of pages: 20 Sub – Topics: 1.What is regression? 2.How to do regression on geodata in Python? 3.In depth example application of regression on geodata. Chapter 12: Machine Learning: Clustering Chapter Goal: Learn how to do clustering on geodata in Python No of pages: 20 Sub – Topics: 1.What is clustering? 2.How to do clustering on geodata in Python? 3.In depth example application of clustering on geodata. Chapter 13: Conclusion Chapter Goal: Regroup all the knowledge together No of pages: 10 Sub – Topics: 1.What have you learned? 2.How to combine different practices together 3. Other reflections for applying the topics in a real-world use case
