EVOLUTIONARY LANDSCAPES - Simon, Bonner, Lorber - UO 2021 LA 408/508

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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

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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Low

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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Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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1.3

ANALYSIS Environmental analysis

9500

Elevation

8300

High

Slope

Low

High

Solar radiation 20 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

Low

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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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1.3

ANALYSIS Devil’s Churn Environmental Analysis

500

Elevation

000

High

Slope

Low

High

Solar radiation 24 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

Low

Runoffs Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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2.0

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EVO-DEVO

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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2.3

EVO-DEVO Evaluation Location 1

8,000’

Elevation

6,000’

High

Slope

Low

High

Solar radiation 32 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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2.3

EVO-DEVO Evaluation Eagle Cap

9700

Elevation

8300

High

Slope

Low

High

Solar radiation 38 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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2.3

EVO-DEVO Devil’s Churn Analysis

500

Elevation

000

High

Slope

Low

High

Solar radiation 44 |

UO LA 408/508 ADVANCED DIGITAL MEDIA

Low

Runoff Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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3.0

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GALAPAGOS

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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3.4

GALAPAGOS Eagle Cap Flow

1

Worst Population: 79 Width: 58 Height: 200

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UO LA 408/508 ADVANCED DIGITAL MEDIA

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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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4.0

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VR VISUALIZATION

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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4.2

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VR VISUALIZATION Topo deconstruction

UO LA 408/508 ADVANCED DIGITAL MEDIA

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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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 Season Perspectives

UO LA 408/508 ADVANCED DIGITAL MEDIA

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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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Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES


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

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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5.0

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CREDITS

UO LA 408/508 ADVANCED DIGITAL MEDIA

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.

Masayo Simon / William Bonner / Stephen Lorber / EVOLUTIONARY LANDSCAPES

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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


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