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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.
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.
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Autorenporträt
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 the Harvard Graduate School of Design and a BLA from the Pennsylvania State University.
Inhaltsangabe
1. 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
1. 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
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