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This book introduces algorithmic approaches to computational design through both Grasshopper and Python. This book (including its accompanying code and datasets) is a much-needed guide, both theoretical and practical, on computational design for students, educators, and practitioners of landscape architecture.



This book is a guide to computational design for landscape architects replete with extensive tutorials. It introduces algorithmic approaches for modeling and designing landscapes. The aim of this book is to use algorithms to understand and design landscape as a generative system, i.e. to harness the processes that shape landscape to generate new forms. An algorithmic approach to design is gently introduced through visual programming with Grasshopper, before more advanced methods are taught in Python, a high-level programming language. Topics covered include parametric design, randomness and noise, waves and attractors, lidar, drone photogrammetry, point cloud modeling, terrain modeling, earthworks, digital fabrication, and more. The chapters include sections on theory, methods, and either visual programming or scripting. Online resources for the book include code and datasets so that readers can easily follow along and try out the methods presented. This book is a much-needed guide, both theoretical and practical, on computational design for students, educators, and practitioners of landscape architecture.

1. Introduction
2. Visual Programming
3. Programming
4. Randomness
5. Random Paving
6. Tessellations
7. Point Clouds
8. Grove
9. Waves
10. Surfaces
11. Patterns
12. Attractors
13. Noise
14. Biome
15. Terrain
16. Dunes
17. Earthworks
18. Fabrication A. Packages B. Color Gradients C. File Paths D. Code and Data

Brendan Harmon is a computational designer, spatial scientist, and Assistant Professor of Landscape Architecture at Louisiana State University, where he teaches geographic information systems, computational design, digital fabrication, and robotics.