1st Edition

Parametric Design for Landscape Architects
Computational Techniques and Workflows




  • Available for pre-order. Item will ship after July 23, 2021
ISBN 9780367195304
July 23, 2021 Forthcoming by Routledge
256 Pages 153 Color & 80 B/W Illustrations

USD $52.95

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Book Description

Parametric Design for Landscape Architects provides a sequence of tutorial-based workflows for the creation and utilization of algorithmic tools calibrated towards the field of landscape architecture. Contemporary practice and projective theory in landscape architecture requires 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 understanding and creation of tools that automate and re-examine traditional calculations, analyses, drawing standards, form-finding strategies, fabrication preparations, and speculative assessments/simulation.

This primer provides professionals and students with multifaceted skill-sets that, when applied in practice, expand and expedite conventional and speculative design workflows applicable to spatial design, and more specifically landscape architecture. Includes over 200 full colour drawings, images and tables to illustrate and support examples throughout.

Table of Contents

//Acknowledgments

//Foreword

Gale Fulton_ Parametric Potentials

//00 Preface

//01 Transformations, Translations, and Vectors: Leveraging Geometric Data

01.01_ Create Custom Vectors and Translate/Move 3D Object to Multiple Points

01.02_ Deconstruct an Input Surface to a Point Grid and Place Randomly Rotated 2D Geometry on Points

01.03_ Random Distribution of Lines with Height Variation on a Geometry

01.04_ Move, Scale, and Rotate 3D Geometry to Randomly Populated Points on Base Geometry

//02 Landform Creation: Base Modeling, Site Design, Field Conditions

02.01_ Base Topographic Model from DEM Point Data to Mesh

02.02_ Base Topographic Model from Contour Data to Surface

02.03_ Using Point and Line Attractors to Iterate Landform Scenarios

02.04_ Translating Mesh Vertices Based on Point, Curve, + Surface Attractors

02.05_ Morphing Geometry on a Surface to Create a Field Condition

//03 Landform Analytics and Calculations: Automation of Site Dynamics

03.01_ Shade 3D Mesh Site/Landform Model Based on Elevation Values

03.02_ Shade 3D Mesh Site/Landform Model Based on Slope Values + Cull Slope Ranges

03.03_ Calculating the Runoff Volume of 3D Geometry Using the Rational Method

03.04_ Highlight Areas of a Landscape Mesh Geometry that Receive Sunlight

//04 Construction Documentation: Mechanization of Standards

04.01_ Label Contour and Spot Elevations

04.02_ Annotation of Slope Percentage and Direction

04.03_ Planting Plan Notation

04.04_ Paver Section Detail and Quantity Dynamics

//05 Digital Fabrication: Facilitation and File Preparation

05.01_ Construct Base on Mesh Terrain Model for 3D Printing

05.02_ Geometry Creation for Laser Cut Waffle Landform Model

05.03_ Preaprtion of Geometry for Laser Cut Contour Landform Model

//06 Urban Morphology and Analysis

06.01_ Evolutionary Solving for FAR Calculation

06.02_ Generating an Urban Scenario

06.03_ Creation of a 3D Viewshed/Isovist Analysis

//07 Cartographic Representation and Data Driven Visualization

07.01_ Index Geometry Based on Area Metric

07.02_ Visualize Point Data Values as an Extension of the Landscape

07.03_ Circular Graph Depicting Metric Data

//08 Cellular Models, Agent Based Behaviors, and Simulation: Speculation

08.01_ Cellular Modeling the Disturbance of a Forest Fire

08.02_ Agent Based Model Using Attractor Points to Provide Seeking Behavior

//09 Case Studies: Deconstructing the Use of Computational Tools in Professional Landscape Architecture Projects

09.01_ Pocket Park Rocheareal Kaiseraugst: BRYUM Landscape Architects

09.02_ MAX IV Laboratory: Snøhetta

//Image and Case Study Project Credits

Index

 

 

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Author(s)

Biography

Andrew Madl is an Adjunct Assistant Professor in the School of Landscape Architecture at the University of Tennessee Knoxville. He positions landscape as a device for retooling the spatial conditions that accompany infrastructural, political, ecological, economical, and social systems at the territorial scale. His approach is grounded in exposing and leveraging implicit systemic intersections that can define spatial discourse. Andrew’s research focuses on computation and simulation as aligned to the speculative design and representation of landscapes of indeterminate futures. He holds an MLA post professional degree from Harvard Graduate School of Design and a BLA from the Pennsylvania State University.

Reviews

"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