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Geography
Geographic Techniques and Methods
Cartography
1. Introduction to Cartography
2. History of Cartography
3. Geodesy and The Shape of the Earth
4. Coordinate Systems
5. Map Projections
6. Map Scale
7. Generalization
8. Data for Cartography
9. Map Design and Composition
10. Symbolization
11. Color in Cartography
12. Typography on Maps
13. Types of Maps
14. Topographic Representation
15. Modern Cartographic Technologies
16. Map Evaluation and Critique
Generalization
The Need for Generalization
Scale Constraints
Readability and Clarity
Cognitive Limitations
Technical Constraints
Principles of Cartographic Generalization
Retaining Essential Information
Eliminating Redundancy
Maintaining Spatial Relationships
Preserving Map Purpose
Generalization Operators
Selection
Feature Elimination
Importance Ranking
Simplification
Line Simplification
Douglas-Peucker Algorithm
Smoothing
Curve Smoothing
Noise Reduction
Aggregation
Feature Grouping
Statistical Aggregation
Amalgamation (Merging)
Boundary Dissolution
Feature Combination
Collapse
Dimensional Reduction
Point to Line Collapse
Refinement
Detail Enhancement
Feature Subdivision
Exaggeration
Size Enhancement
Minimum Size Requirements
Displacement
Conflict Resolution
Spatial Adjustment
Enhancement
Visual Emphasis
Contrast Improvement
Automated Generalization Techniques
Rule-based Systems
Machine Learning Approaches
Multi-scale Databases
Quality Assessment in Generalization
Geometric Accuracy
Semantic Accuracy
Visual Quality
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8. Data for Cartography