Landscape Performance Modeling Using Rhino and Grasshopper
Zawarus, Phillip
Sold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since November 22, 2018
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Add to basketSold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since November 22, 2018
Condition: New
Quantity: 3 available
Add to basket1st edition NO-PA16APR2015-KAP.
Seller Inventory # 26394873565
This is a guidebook for landscape architects to learn the fundamental practices and use of the computational software Rhino 3D and the plugin Grasshopper for parametric modeling, landscape inventory, and performative analysis. This process visually connects intangible and abstract information with physical and spatial relationships to signify the impact ecological, climate, and cultural factors have on landscape performance and decision making.
Each chapter begins with a summary of the performance method and its application in different projects, outlining the expected goals from industry standard equations and operations. Chapters cover parametric modeling scripts to measure ecosystem services of stormwater management, erosion control, tree benefits, outdoor comfort, accessibility, and many others. Using photographs, tables, and parametric scripts to create qualitative and quantitative representations of landscape performance and ecosystem services, readers will learn to communicate the impact and significance of their outputs.
This book will be beneficial to educators, students, and professionals interested in using computational modeling as a performance assessment and graphic visualization tool.
Phillip Zawarus is an Associate Professor at the University of Nevada, Las Vegas. He utilizes technology and computational modeling methods as decision-making tools for the analysis and design response to sensitive ecological systems. His approach attempts to bridge the gap between abstract conventions and perceptual experiences within our living environment to bring comprehension of intangible ecosystem services. His exploration and use of graphic visualizations, interactive media, parametric modeling, and augmented reality create dynamic datascapes demonstrating landscape performance methods and metrics in the field of landscape architecture.
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