ENGLISH

Parametric Design for Landscape Architects: Computational Techniques and Workflows

By Andrew Madl

Book information

Publisher
Routledge
Year
2021
ISBN
2020057323, 2020057324, 9780367195298, 9780367195304, 9780429202957, 0367195291
Language
english
Format
PDF
Filesize
20 MB (20642283 bytes)
Edition
1
Pages
218\155
Library
Mobilism
Time added
2021-10-22 10:07:47

Description

Parametric 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 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. The book includes over 200 full-colour drawings, images, and tables to illustrate and support examples throughout. Cover Half Title Title Page Copyright Page Contents Acknowledgments Foreword: Parametric potentials Preface Chapter 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 01.05_ Context Chapter 02 Landform creation: Base modeling, site design, field conditions 02.01_ Base topographic model from DEM point data (ArcMap) to mesh (Rhino/GH) 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, and surface attractors 02.05_ Morphing geometry on a surface to create a field condition Chapter 03 Landform analytics and calculations: Automation of site dynamics 03.01_ Shade 3D mesh landform model based on elevation values 03.02_ Shade 3D mesh landform model based on slope values and 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 03.05_ Context Chapter 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 04.05_ Context Chapter 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_ Preparation of geometry for laser cut contour landform model 05.04_ Context Chapter 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 06.04_ Context Chapter 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 07.04_ Context Chapter 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 08.03_ Context Chapter 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 09.03_ Context Image and case study project credits Index

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