Description
Book SynopsisParametric Design for Landscape Architects provides a sequence of tutorial-based workflows for the creation and utilization of algorithmic tools calibrated toward the field of landscape architecture. Contemporary practice and projective theory in landscape architecture require the processing and design of data associated with complex systems to adequately represent composite, emergent scenarios.
Aligning to both traditional and nascent processes of analysis and digital modeling, this book unpacks and decodes the characterization of algorithmic-based automation, leveraging software that is widely accessible in both academia and professional practice. Curated throughout are workflows that apply to a multiplex of computation programs that widely support the design, analysis, and production of landscapes, primarily concentrated on digital modeling tools Grasshopper and Rhinoceros. It is a much-needed, visually accessible resource to aid in more efficient understan
Trade Review
"Madl grounds computational practices in the landscape – sites with urgent ecological and social implications, but which have been overlooked in the parametric focus on architectural space. This book challenges that hegemony with sequences and workflows that will provoke exploratory theoretical and technical design processes in landscape-based projects."
Ron Henderson, Professor and Director, Landscape Architecture + Urbanism Program, Illinois Institute of Technology
"Landscape architecture has been slow to embrace parametric tools. We have lacked instructional materials tied to landscape-specific design processes, and parametricism has been understood as a style, rather than a method. Building from using parametric software to facilitate traditional landscape design tasks into more ambitious tutorials that use those same tools to understand landscape as dynamic and ever-changing, Andrew Madl addresses both these issues at once."
Rob Holmes, Assistant Professor, Landscape Architecture, School of Architecture, Planning, and Landscape Architecture, Auburn University
Table of Contents1. Transformations, Translations, and Vectors: Leveraging Geometric Data 2. Landform Creation: Base Modeling, Site Design, Field Conditions 3. Landform Analytics and Calculations: Automation of Site Dynamics 4. Construction Documentation: Mechanization of Standards 5. Digital Fabrication: Facilitation and File Preparation 6. Urban Morphology and Analysis 7. Cartographic Representation and Data-Driven Visualization 8. Cellular Models, Agent-Based Behaviors, and Simulation: Speculation 9. Case Studies: Deconstructing the Use of Computational Tools in Professional Landscape Architecture Projects
