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1. Foundations: Questions, Data Models, and Reference Systems
1.1. What is Geospatial Data Engineering?
1.2. Geospatial Data Models — Vector and Raster
1.3. Vector Data Models
1.4. Raster Data Models
1.5. Sources of Geospatial Data
1.6. Creating New Geospatial Data
1.7. Spatial Data Quality and Metadata
2. Foundations of Spatial Representation
2.1. Basic Definitions and Concepts
2.2. Understanding Coordinate Systems
2.3. Map Projections
2.4. Cylindrical Projections
2.5. Conic Projections
2.6. Azimuthal Projections
3. Files, Conversion, and Spatial Databases
3.1. Geospatial File Formats: Foundations and GeoJSON
3.2. The ESRI Shapefile
3.3. GeoPackage and File Geodatabases
3.4. KML and GML
3.5. OpenStreetMap Data
3.6. Choosing and Converting Between Formats
3.7. Spatial Database Systems: PostGIS and SpatiaLite
3.8. Geospatial ETL, Open Data, and Licensing
4. Vector Data Operations and Spatial Analysis
4.1. Vector Data Types and Topology
4.2. Geometric Operations and Measurements
4.3. Attribute and Spatial Joins
4.4. Vector Overlay Operations
4.5. Applied Spatial Analysis Workflows
4.6. Geometry Validation and Quality Control
4.7. Vector–Raster Integration
4.8. Reproducible Spatial Workflows
5. Network Analysis and Spatial Networks
5.1. Network Fundamentals and Data Acquisition
5.2. Query Scope and Network Topology
5.3. Network Metrics and Centrality
5.4. Routing and Shortest Paths
5.5. Accessibility and Service Areas
5.6. Urban Comparison and Network Outputs
6. Introduction to Remote Sensing
6.1. What is Remote Sensing?
6.2. Radiometric Resolution
6.3. Spatial Resolution
6.4. Spectral Resolution
6.5. Temporal Resolution
6.6. Understanding Remote Sensing Images
7. References
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