EVOLUTIONARY LANDSCAPES Jessica Gonzalez Darby Pierce Kennedy Rauh
Evolutionary Landscapes LA 408/508 School of Architecture and Environment Mary Polites-Ignacio Lopez Buson
1 ANALYSIS - location - topographic data - site - analysis - conclusions
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2 EVO-DEVO
3 GALAPAGOS
- objective - populations - evaluation - highlights
- objectives - generation 1 - generation 2 - generation 3
4 VR VISUALIZATION - topo deconstruction - perspectives - evolutionary tree
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1.0
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ANALYSIS
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1.0
ANALYSIS Location
WALLOWA MOUNTAINS
TRIANGLE LAKE MOUNTAINS OAKRIDGE
Oregon Three locations in Oregon were chosen to analyze. The locations were picked based on interesting topography and with analysis in mind.
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1.1a
ANALYSIS Triangle Lake Mountains
SITE
0.5 miles
Triangle Lake Mountains Triangle Lake Mountains is located Southwest of Triangle Lake. West of Eugene, OR. The Site was chosen for its diverse topography,
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1.2a
ANALYSIS Triangle Lake Mountains
0.5 miles Triangle Lake Mountains The site is 0.5 square miles. The site analysis shows the gradual elevation, steep slopes, solar radiation, and flow runoffs.
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1.3a
ANALYSIS Environmental analysis
HIGH
Elevation
LOW
HIGH
Slope
LOW
SUN
Solar radiation 16 |
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SHADE
Runoffs Gonzalez / Pierce / Rauh / EVOLUTIONARY LANDSCAPES
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1.1b
ANALYSIS Oakridge, OR
SITE
0.5 miles
Oakridge, OR This location is located near Oakridge, OR and runs near Hills Creek Lake. This is area is surrounded by hills and interesting topography. This site was chosen because of the density of hills and the overall range of slopes.
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1.2b
ANALYSIS Oakridge, OR
0.5 miles
Oakridge, OR This .5 miles site was chosen for analysis. This is an area the has a typical hill and valley make-up. This location has some areas of flat topography, but for the most part is made up of large hills.
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1.3b
ANALYSIS Environmental analysis
high
Elevation
low
steep
Slope
shallow
sun
Solar radiation 22 |
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shade
Runoffs Gonzalez / Pierce / Rauh / EVOLUTIONARY LANDSCAPES
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1.1c
ANALYSIS Wallowa Mountains
SITE
0.5 miles
Wallowa Mountains Site three is located south of Wallowa Lake in the Wallowa Mountains of Oregon. The specific square half mile area includes part of the ridges of this range.
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1.2c
ANALYSIS
Wallowa Mountains
0.5 miles Wallowa Mountains The site is 0.5 square miles. The site analysis shows the gradual elevation, steep slopes, solar radiation, and flow runoffs.
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1.3c
ANALYSIS Environmental analysis
Steep Slope
High Elevation
Elevation
Low Elevation
Slope
Path
Exposed
Solar radiation 28 |
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Shaded
Less Steep
Runoffs
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2.0
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EVO-DEVO
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2.1a
EVO-DEVO Objective Triangle Lake Mountains
Objective Evo-Devo explores four population manipulations. Each population gene and fitness with genomes is indicated per individual. Each indiviual shows a plan, axon, and detail image.
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2.2a
EVO-DEVO Populations Triangle Lake Mountains
Genes Arragement: Random Points: 11 Width: 137 Height: 210
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2
3
4
1
2
3
4
Gemes Arrangement: Random Points: 6 Width: 96 Height: 150
Genes Arrangement: Random Points: 4 Width: 160 Height: 40
Genes Arrangement: Random Points: 143 Width: 23 Height: 93
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2.3a
EVO-DEVO Evaluation Triangle Lake Mountains
HIGH
HIGH
Elevation
LOW
Slope
LOW
5
SUN
Solar radiation 36 |
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SHADE
Runoffs
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2.4a
EVO-DEVO Highlights Triangle Lake Mountains Sales Center Ignacio Lรณpez Busรณn has 10 years of international professional experience working for practices such LPA, UNStudio and Martha Schwartz Partners in Europe and in Asia. In 2014, he co-founded the design collective MAPS (Methods for the Architecture of Patterns and Systems) in Shanghai, specializing in developing innovative design solutions for human-natural system integration at all scales. their adaptation
1
1
2
1. Population 2 2. Population 3 3. Population 4 4. Population 3 5. Population 1 3 38 |
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4
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2.1b
EVO-DEVO Objective Oakridge, OR
Objective The overall objective is to undsertand the slope of this site. Four interations were run and the overall slope of the site was considered.
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2.2b
EVO-DEVO Populations Oakridge, OR
Gene Points: 17 Arragement: Random Height: 150 Width: 100 Degrees: 10 Change: 1.812
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2
2 3
3 4
1
2
5 3
6 4
Gene Points: 13 Arragement: Random Height: 150 Width: 100 Degrees: 8 Change: 1.050
Gene Points: 5 Arragement: Linear Height: 150 Width: 100 Degrees: 5 Change: .892
Gene Points: 19 Arragement: Random Height: 150 Width: 100 Degrees: 5 Change: .105
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2.3b
EVO-DEVO Evaluation Oakridge, OR
steep
high
Elevation
low
Slope
shallow
sun
Solar radiation 44 |
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shade
Runoffs Gonzalez / Pierce / Rauh / EVOLUTIONARY LANDSCAPES
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2.4b
EVO-DEVO Highlights Oakridge, OR
1
3
1. Gene 2 / Shaded 2. Gene 1 / Elevation 3. All Genes / Shaded 4. Gene 4 / Shaded 5. Gene 1 / Slope
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4 2
5 4
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2.1c
EVO-DEVO
Wallowa Mountains
Objective Evo-devo explores four population manipulations. For each individual, genes are stated and an axon and plan view are shown.
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2.2c
EVO-DEVO Populations Wallowa Mountains
Genes Points: 15 Arrangement: Random Point Width: 150 Point Height: -300
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1
2
3
4
1
2
3
4
Genes Points: 15 Arrangement: Random Point Width: 100 Point Height: 300
Genes Points: 15 Arrangement: Random Point Width: 125 Point Height: -500
Genes Points: 30 Arrangement: Random Point Width: 100 Point Height: -150
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2.3c
EVO-DEVO Evaluation Wallowa Mountains - Manipulation 2
Steep Slope
High Elevation
Elevation
Low Elevation
Slope
Exposed
Solar radiation 52 |
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Shaded
Less Steep
Path
Runoffs Gonzalez / Pierce / Rauh / EVOLUTIONARY LANDSCAPES
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2.4c
EVO-DEVO Highlights Wallowa Mountains - Manipulation 2
1
3
1. Close up of Concavity Analysis 2. Close up of Slope Analysis 3. Close up of Elevation Analysis 4. Close up of Concavity Analysis 5. Close up of Elevation Analysis
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4
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3.0
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GALAPAGOS
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3.1
GALAPAGOS Selected site
Objective The site selected was Oakridge, OR. This site was chosen because it has hill and valley aspects to the topography. Location 3 had very extreme topography and Location 1 was not as variable. Our objective is chosing this location is to understand and experience the possibilities and complexities of this particular topography.
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3.2
GALAPAGOS Generation 1
1
2
1
Gene Points: 66 Arragement: Random Height: 12 Width: 151 Degrees: 10 Change: 9.057 BEST
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2
Gene Points: 50 Arragement: Random Height: 110 Width: 137 Degrees: 10 Change: .3186
Gene Points: 31 Arragement: Random Height: 116 Width: 120 Degrees: 10 Change: .2777
3
4
3
4
Gene Points: 37 Arragement: Random Height: 164 Width: 132 Degrees: 10 Change: 0 WORST
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3.3
GALAPAGOS Selected Genome
Objective This section explores runoff solutions using the Galapagos definition. The Runoff solution expolores four runoff outcomes. These include, the best, worst, and two randomly chosen solutions. The outcome goal is to minimize runoff.
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3.4
GALAPAGOS Generation 2
Genes Best Outcome Population: 85 Width: 60 Height: 160
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1
2
3
4
1
2
3
4
Genes Worst Outcome Population: 7 Width: 120 Height: 179
Genes Random Outcome One: Population: 47 Width: 55 Height: 142
Genes Random Outcome Two Population: 26 Width: 104 Height: 85
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3.5
GALAPAGOS Selected Genome
Objective This section uses Galapagos to perform solar analysis of the site. Random Outcome: Two was used from the second generation to create the third generation.
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3.6
GALAPAGOS Generation 3
Best Outcome Genes Population: 55 Width: 90 Height: 192
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1
2
3
4
1
2
3
4
Random 1 Genes Population: 89 Width: 46 Height: 155
Random 2 Genes Population: 97 Width: 72 Height: 106
Worst Outcome Genes Population: 26 Width: 84 Height: -34
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3.7
GALAPAGOS Selected Genome
Objective Moving forward, we will use the best outcome from the third generation because it is similar to the best outcome from the flow analysis.
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4.0
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VR VISUALIZATION
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4.1
VR VISUALIZATION Mesh segmentation
Objective The objective of the VR visulization is to explore Twinmotion and understand how it can make our designs in the future more powerful and compelling.
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4.2a
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VR VISUALIZATION Topo deconstruction
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Topography
Understory population
Landcover
Tree population
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4.3a
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VR VISUALIZATION Seasonal changes
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4.2b
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VR VISUALIZATION Topo deconstruction
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Topography
Understory population
Landcover
Tree population
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4.3b
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VR VISUALIZATION Seasonal changes
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4.2c
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VR VISUALIZATION Topo deconstruction
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Topography
Understory population
Landcover
Tree population
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4.3c
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VR VISUALIZATION Seasonal changes
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4.4
VR VISUALIZATION Evolutionary tree
ORIGINAL TOPOGRAPHY
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GENERATION 1 (slope)
GENERATION 2 (water)
GENERATION 3 (solar)
SEGMENTATION (slope)
FINAL LANDSCAPE
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5.0
CREDITS
https://webmail.uoregon. edu/?_task=mail&_action=get&_mbox=INBOX&_ uid=2300&_token=XB5zQNrBj4z85g65PWHfS94AbmjZ9XSe&_part=2
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Jessica Gonzalez
Darby Pierce
Kennedy Rauh
Jessica is a second year Master of Landscape Architecture student. Before coming to the University of Oregon she attended Oregon State University and received a Bachelor of Science in Horticulture with an emphasis in ecological landscapes and urban forestry. Jessica has also worked many years in the horticulture industry before making the decision to return to school. Her interests are forever changing as landscape architecture has many different appealing and exciting aspect.
Darby is currently a master´s degree student in Landscape Architecture at the University of Oregon. During her undergraduate degree at the University of Idaho, Darby studied Environmental Science with an emphasis in Green Building. Darby is interested in ecological design and water conservation technologies. However, during her masters program she is redefining, and focusing her career goals and trajectory.
Kennedy is a masters student in Landscape Architecture at the University of Oregon. She holds a bachelor’s of science in Fiber Science and Apparel Design and a minor in Design and Environmental Analysis. She enjoys embroidery, working with natural dyes, woodworking, painting, and illustration. Her love of materials has translated across design fields, leading her towards focusing on green infrastructure. Though still finding her path within landscape architecture, she hopes to incorporate color in everything she does.
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Evolutionary Landscapes LA 408/508 School of Architecture and Environment Mary Polites-Ignacio Lopez Buson