EVOLUTIONARY LANDSCAPES Masayo Simon William Bonner Stephen Lorber Evolutionary Landscapes LA 408/508 School of Architecture and Environment Mary Polites + Ignacio Lopez Buson
1 ANALYSIS - location - topographic data - site - analysis - conclusions
2 EVO-DEVO
3 GALAPAGOS
- objective - populations - evaluation - highlights
- objectives - population 1 - population 2
4 VR VISUALIZATION - topo deconstruction - seasonal comparison - totally amazing cool views - evolutionary tree
1.0
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ANALYSIS
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1.0
ANALYSIS Location
Eagle Cap
Devil’s Churn
Crater Lake
Oregon Oregon is home to many portal landscapes. These portals have the power to trasport your mind and soul to far off places. They are all transformative, but on the surface appear very different. The Devil’s Churn sits low where the ocean meets the land. The shear granite face of Eagle cap rises up in the high alpine. And Crater Lake combines both high elevation volcanic activity with deep pools of water. 10 |
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1.1
ANALYSIS Location
Crater Lake
Eagle Cap
Devil’s Churn
Crater Lake sits at the top a collapsed volcano. The rim of the deep pool is jagged black volcanic rock. Rising from the dark depths of the lake, Wizard Island is a cinder cone peak. Crystal clear and isolated from rivers, water flows to the sky and back through evaporation and rainfall.
Eagle Cap Mountain is a towering granite peak in the Wallowa Mountain Range. The glacier carved Wallowa’s rise up above the barren high desert, with Eagle Cap as the central beacon of the majestic range.
Devil’s Churn is a terrifying natural wonder of Oregon. It is a coastal inlet on the lava shore of Cape Perpetua. High tides thrash against the ancient black bed rock producing deep devil echoes.
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1.2
ANALYSIS Site
0.5 miles
Crater Lake Crater Lake was selected for this project due to its dramatic topography. The deep blue lake surrounded by high cliffs will make for an interesting site to analyze and modify with experimental topography.
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1.3
ANALYSIS Environmental analysis
8,000’
Elevation
6,000’
High
Slope
Low
High
Solar radiation 16 |
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Runoffs Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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1.2
ANALYSIS Site
0.5 miles Eagle Cap Eagle Cap Mountain is a towering granite peak in the Wallowa Mountain Range. The glacier carved Wallowa’s rise up above the barren high desert, with Eagle Cap as the central beacon of the majestic range.
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1.3
ANALYSIS Environmental analysis
9500
Elevation
8300
High
Slope
Low
High
Solar radiation 20 |
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Runoffs Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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1.2
ANALYSIS Devil’s Churn
.
500 ft 0. 5
m
ile
s
Devil’s Churn Devil’s Churn is a terrifying natural wonder of Oregon. It is a coastal inlet on the lava shore of Cape Perpetua. High tides thrash against the ancient black bed rock producing deep devil echoes.
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1.3
ANALYSIS Devil’s Churn Environmental Analysis
500
Elevation
000
High
Slope
Low
High
Solar radiation 24 |
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Low
Runoffs Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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2.0
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EVO-DEVO
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2.1
EVO-DEVO Objective Location 1
Objective This experiment will model different topographical scenarios under specified parameters to understand what types of topography are most efficient at minimizing water runoff throughout the site. The experimental topography will provide further understanding of the possibilities when working with water runoff in other types of landform. The original topography had a flow level of 631,984.
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2.2
EVO-DEVO Populations Location 1
Hypothesis 1 Genes: 6 mounds Width: 91 Height: 128 Waterflow: 374,467
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1
2
3
4
1
2
3
4
Hypothesis 2 Genes: 6 mounds Width: 150 Height: 128 Waterflow: 402,231
Hypothesis 3 Genes: 1 mound Width: 150 Height: 128 Waterflow: 339,804
Hypothesis 4 Genes: 3 mounds Width: 91 Height: 128 Waterflow: 338,441
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2.3
EVO-DEVO Evaluation Location 1
8,000’
Elevation
6,000’
High
Slope
Low
High
Solar radiation 32 |
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Low
Runoffs Masao Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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2.1
EVO-DEVO Populations Eagle Cap
Eagle Cap Eagle Cap Mountain is a towering granite peak in the Wallowa Mountain Range. The glacier carved Wallowa’s rise up above the barren high desert, with Eagle Cap as the central beacon of the majestic range.
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2.2
EVO-DEVO Populations Eagle Cap
Hypothesis 1 Genes: 8 mounds Width: 110 Height: 90 Waterflow: 498,435
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1
2
3
4
1
2
3
4
Hypothesis 2 Genes: 50 mounds Width: 82 Height: 90 Waterflow: 327,847
Hypothesis 3 Genes: 35 mounds Width: 110 Height: 85 Waterflow: 518,811
Hypothesis 4 Genes: 85 mounds Width: 121 Height: 30 Waterflow: 378,943
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2.3
EVO-DEVO Evaluation Eagle Cap
9700
Elevation
8300
High
Slope
Low
High
Solar radiation 38 |
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Low
Runoffs Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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2.1
EVO-DEVO Devil’s Churn
Objective Devil’s Churn acts as a natural funnel for water running down the surrounding mountains into the ocean. The following genes are mean to test ways that this process can be disrupted to maintain water on the site.
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2.2
EVO-DEVO Devil’s Churn Flow
Hypothesis 1 Genes: 12 mounds Width: 100 Height: 500 Iterations: 1 Strength: 0.15
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1
2
3
4
1
2
3
4
Hypothesis 2 Genes: 12 mounds Width: 100 Height: 200 Iterations: 1 Strength: 0.46
Hypothesis 3 Genes: 12 mounds Width: 50 Height: 150 Iterations: 1 Strength: 0.15
Hypothesis 4 Genes: 12 mounds Width: 500 Height: 200 Iterations: 1 Strength: 1.00
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2.3
EVO-DEVO Devil’s Churn Analysis
500
Elevation
000
High
Slope
Low
High
Solar radiation 44 |
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Low
Runoff Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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3.0
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GALAPAGOS
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3.1
GALAPAGOS Selected site
Slope Analysis Eagle Cap is naturally a ruggeed and steep terrain making it a difficult landscape to scale. The best evolutionary genes created an alternative landscape that reduced the severity of the natural slope, while the worst dramatically exaggerated the inaccessability.
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3.2
GALAPAGOS Eagle Cap Slope
1
Best Population: 44 Width 99 Height: -39
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3
2
Mid-Range 1 Population: 88 Width: 130 Height: 6
Mid-Range 2 Population: 4 Width: 132 Height: 98
4
Worst Population: 92 Width: 77 Height: 136
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3.3
GALAPAGOS Eagle Cap Flow
This water analysis tool will create topographies based on our specified parameters to minimize runoff on the site. The original peak of Eagle Cap has been flattened and transformed into many mounds that fluxuate in height to show different scenarios. Under the best scenario, water will sink, spread, and slow on the landform. The worst models show a higher intensity of water flow.
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3.4
GALAPAGOS Eagle Cap Flow
1
Worst Population: 79 Width: 58 Height: 200
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3
2
Mid-Range 1 Population: 37 Width: 122 Height: 131
Mid-Range 2 Population: 64 Width: 101 Height: 62
4
Best Population: 64 Width: 158 Height: 120
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3.5
GALAPAGOS Eagle Cap Solar Radiation
Objective The solar analysis calculates sun exposure in relation to our site. We used Galapagos to model different landforms to how different parameters would create different areas of shade. The goal was to maximize the amount of shade on the site, so our best result was the one with the largest area of shade, whereas the worst result generated the smallest area of shade.
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3.6
GALAPAGOS Eagle Cap Solar Radiation
1
Best Population: 36 Width: 103 Height: 194
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3
2
Mid-Range 1 Population: 51 Width: 125 Height: 151
Mid-Range 2 Population: 50 Width: 150 Height: 106
4
Worst Population: 92 Width: 85 Height: -29
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4.0
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VR VISUALIZATION
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4.0
VR VISUALIZATION Eagle Cap Revisited
Eagle Cap, Oregon Textures are based off ecological processe. The vertical faces are rock, and with a significant slope, too steep for large vegetation. Flatter areas are populated with grasses, small shurbs, oak trees, and select conifers. Goats now populate small patches of land and feed on the native grasses, showing a promising landscape for future dystopic agriarian society enclave.
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4.1
VR VISUALIZATION Mesh segmentation
Objective Deconstructing the slope analysis leads to hypothesis about types of microclimates within the landscape. We can make predictions about what kind of vegetation would exist in the conditions generated from this analysis.
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4.2
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VR VISUALIZATION Topo deconstruction
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Topography
Understory population
Landcover
Tree population Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES
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4.3
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VR VISUALIZATION Perspectives
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4.3
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VR VISUALIZATION Perspectives
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4.3
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VR VISUALIZATION Season Perspectives
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4.3
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VR VISUALIZATION Season Perspectives
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4.3
VR VISUALIZATION Seasonal Perspectives
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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
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CREDITS
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William Bonner
Stephen Lorber
Masayo Simon
William is a landscape architecture student whose intersts lie in deisgn that connects humans to natural processes. He intends to spark creative thought on complex social and biological relationships between humans, plants, and animals. William uses moving image, animation, music, and drawing to capture and express these ideas and to create transformative experiences.
Stephen has a background in developing sustainable food systems and decided to study landscape architecture to find more dynamic ways to engage with landscapes. He finds emerging landscape analysis tech facinating and is eager to dive deeper into the art.
Masayo is passionate about the craggy rocks and tall trees in the Pacific Northwest. Community dynamics, and design are what led her to landscape architecture. Masayo is excited about how remixing topographic possibilities in hypothetical scenarios can influence future design solutions.
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Evolutionary Landscapes LA 408/508 School of Architecture and Environment Mary Polites + Ignacio Lopez Buson
Evolutionary Landscapes LA 408/508 School of Architecture and Environment Mary Polites + Ignacio Lopez Buson