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Parametric Design for Landscape Architects: Computational Techniques and Workflows [Kõva köide]

(University of Tennessee, USA)
  • Formaat: Hardback, 206 pages, kõrgus x laius: 280x210 mm, kaal: 980 g, 125 Line drawings, color; 80 Line drawings, black and white; 28 Halftones, color; 153 Illustrations, color; 80 Illustrations, black and white
  • Ilmumisaeg: 06-Sep-2021
  • Kirjastus: Routledge
  • ISBN-10: 0367195291
  • ISBN-13: 9780367195298
Teised raamatud teemal:
Parametric Design for Landscape Architects: Computational Techniques and WorkflowsSuurem pilt
  • Formaat: Hardback, 206 pages, kõrgus x laius: 280x210 mm, kaal: 980 g, 125 Line drawings, color; 80 Line drawings, black and white; 28 Halftones, color; 153 Illustrations, color; 80 Illustrations, black and white
  • Ilmumisaeg: 06-Sep-2021
  • Kirjastus: Routledge
  • ISBN-10: 0367195291
  • ISBN-13: 9780367195298
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780367195298.html
Märksõnad:

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.



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.

Arvustused

"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

Acknowledgments vii
Foreword: Parametric potentials ix
Gale Fulton
Preface xi
Chapter 1 Transformations, translations, and vectors: Leveraging geometric data 1(23)
1.01 Create custom vectors and translate/move 3D object to multiple points
1(7)
1.02 Deconstruct an input surface to a point grid and place randomly rotated 2D geometry on points
8(5)
1.03 Random distribution of lines with height variation on a geometry
13(4)
1.04 Move, scale, and rotate 3D geometry to randomly populated points on base geometry
17(4)
1.05 Context
21(3)
Chapter 2 Landform creation: Base modeling, site design, field conditions 24(45)
2.01 Base topographic model from DEM point data (ArcMap) to mesh (Rhino/GH)
24(8)
2.02 Base topographic model from contour data to surface
32(7)
2.03 Using point and line attractors to iterate landform scenarios
39(9)
2.04 Translating mesh vertices based on point, curve, and surface attractors
48(10)
2.05 Morphing geometry on a surface to create a field condition
58(11)
Chapter 3 Landform analytics and calculations: Automation of site dynamics 69(25)
3.01 Shade 3D mesh landform model based on elevation values
69(5)
3.02 Shade 3D mesh landform model based on slope values and cull slope ranges
74(8)
3.03 Calculating the runoff volume of 3D geometry using the rational method
82(6)
3.04 Highlight areas of a landscape mesh geometry that receive sunlight
88(3)
3.05 Context
91(3)
Chapter 4 Construction documentation: Mechanization of standards 94(22)
4.01 Label contour and spot elevations
94(5)
4.02 Annotation of slope percentage and direction
99(5)
4.03 Planting plan notation
104(5)
4.04 Paver section detail and quantity dynamics
109(3)
4.05 Context
112(4)
Chapter 5 Digital fabrication: Facilitation and file preparation 116(20)
5.01 Construct base on mesh terrain model for 3D printing
117(5)
5.02 Geometry creation for laser cut waffle landform model
122(5)
5.03 Preparation of geometry for laser cut contour landform model
127(7)
5.04 Context
134(2)
Chapter 6 Urban morphology and analysis 136(19)
6.01 Evolutionary solving for FAR calculation
136(6)
6.02 Generating an urban scenario
142(6)
6.03 Creation of a 3D viewshed/isovist analysis
148(6)
6.04 Context
154(1)
Chapter 7 Cartographic representation and data-driven visualization 155(18)
7.01 Index geometry based on area metric
155(5)
7.02 Visualize point data values as an extension of the landscape
160(6)
7.03 Circular graph depicting metric data
166(6)
7.04 Context
172(1)
Chapter 8 Cellular models, agent-based behaviors, and simulation: Speculation 173(13)
8.01 Cellular modeling the disturbance of a forest fire
173(7)
8.02 Agent-based model using attractor points to provide seeking behavior
180(3)
8.03 Context
183(3)
Chapter 9 Case studies: Deconstructing the use of computational tools in professional landscape architecture projects 186(13)
9.01 Pocket Park Rocheareal Kaiseraugst BRYUM landscape architects
186(6)
9.02 MAX IV Laboratory: Snohetta
192(6)
9.03 Context
198(1)
Image and case study project credits 199(1)
Index 200
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. Andrews 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 the Harvard Graduate School of Design and a BLA from the Pennsylvania State University.