EVOLUTIONARY LANDSCAPES Michael Soto Austin Mahar 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
4 VR VISUALIZATION
- objective - populations - evaluation - highlights
- objectives - population 1 - population 2
- topo deconstruction - landscape layers - perspectives - evolutionary tree
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ANALYSIS
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1.0
ANALYSIS Location
Oregon
Eugene Southern Hills Skinners Butte
The site that we have chosen to study is located in the southern hills of Eugene. This location holds a combination of residential housing, parks, and natural riparian ecosystems that run within the valleys of the slope. The primary reason for choosing this site is to be able to analyze existings topographic conditiions and explore future alterations of the landscape in order to help reintroduce keystone species into the area again and help weave the natural ecosystem into the urban fabric so that humans and nature can co
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1.1
ANALYSIS Location SITE
SITE
0.5 miles 0.5 miles
Location 1 Southern Hills
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Location 2 Skinners Butte
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1.2
ANALYSIS Environmental analysis - Location 1
High Elev.
21% and Above 13%-20% Slope
Elevation
Low Elev.
Slope
12% and Below
Slope Movement Towards Convexion Highest Point of Concavity
Concavity 14 |
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Slope Movement Towards Concavity
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1.3
ANALYSIS Skinners Butte Environmental analysis - Location 2
High Elev.
21% and Above 13%-20% Slope
Slope
Low Elev.
Elevation
12% and Below
Slope Movement Towards Convexion Highest Point of Concavity Slope Movement Towards Concavity
Concavity 16 |
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Runoffs Austin Mahar / Michael Soto / EVOLUTIONARY LANDSCAPES
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EVO-DEVO
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2.1
ANALYSIS Eugene Southern Hills
0.5 miles Eugene Southern Hills The southern hills in Eugene caught my interest because this is also the site I am studying for another cass I am taking and I liked the idea of creating a connection between my classes in order to help improve my education. I was also genuinly curious about about how the site really looked underneath all of the vegetation currently there.
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2.2
Evo-Devo Eugene Southern Hills Topography Manipulation Matrix
1. 30 Point Axon / Plan Genomes and Fitness: Width: 103 Height: 132
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1A
2A
3A
4A
2. 50 Point Axon / Plan Genomes and Fitness: Width: 80 Height: 75
3. 25 Point Axon / Plan Genomes and Fitness: Width: 75 Height: 150
4. 100 Point Axon / Plan Genomes and Fitness: Width: 75 Height: 150
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2.3
Evo-Devo Eugene Southern Hills Topograpghy Manipulation
View 2
View 3 2
View 4
Width: 103 Height: 132
1
Test #1: 30 Points The first test incorporated 30 points that were placed along the ridgelines found on the original site. The results show extreme changes in their heights and create large basin and deep channels flowing throughout the site. 1. Axon 2. View 1 3. View 2 4. View 3 5. Plan View
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2.3
Evo-Devo Eugene Southern Hills Topograpghy manipulation
View 4
View 3 1
Width: 80 Height: 75
View 3
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Test #2: 50 Points The second test, like the 30 point test, placed all of the points along the ridgelines. Based off of the results found from the 30 point test, the 50 point test placement was placed with more care in order to find a solution that would help promote the return of keystone species and ecosystems into the urban fabric. 1. Axon 2. View 1 3. View 2 4. View 3 5. Plan View
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2.3
Evo-Devo Eugene Southern Hills Topograpghy manipulation
View 4
View 3 1
Width: 75 Height: 150
View 3
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Test #3: 25 Points The 25 point test was used to pick the major ridgelines within the site. and explore what would happen if only key locations were altered, and how would it impact the surrounding landscape that is unchanged.
1. Axon 2. View 1 3. View 2 4. View 3 5. Plan View
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2.3
Evo-Devo Eugene Southern Hills Topograpghy manipulation
2
Width: 75 Height: 150
1
Test #4: 100 Points The 100 point test has semi randomly placed points, holding a general idea in placements to try and keep the points somewhat evenly spaced but random enough to add some unpredicatability to the change. The overall goal with this test was to see what extreme changes to the site would bring and how would that guide my process in the future. 1. Axon 2. View 1 3. View 2 4. View 3 5. Plan View
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2.4
Evo-Devo Location 2 Topography Manipulation Matrix
1. 11 Point Axon / Plan Genomes and Fitness: Width: 8 Height: 150
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1A
2A
3A
4A
2. 20 Point Axon / Plan Genomes and Fitness: Width: 154 Height: 90
1. 100Point Axon / Plan Genomes and Fitness: Width: 102 Height: 90
4. 115 Point Axon / Plan Genomes and Fitness: Width: 150 Height: 79
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2.4
Evo-Devo Skinners Butte Topograpghy manipulation
1
Width: 8 Height:150
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Test #1: 11 Points
1. Plan 2. Axon 3. Perspective Images 4. Perspective Images 5. Perspective Images
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2.4
Evo-Devo Skinners Butte Climate
View 4
View 4 1
Width: 154 Height:90
View 5
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Test #1: 20 Points
1. Plan 2. Axon 3. Perspective Images 4. Perspective Images 5. Perspective Images
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2.4
Evo-Devo Skinners Butte Topograpghy manipulation
View 3
View 5 1
Width: 102 Height:90
View 4
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Test #1: 100Points
1. Plan 2. Axon 3. Perspective Images 4. Perspective Images 5. Perspective Images
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2.4
Evo-Devo Location 2 Topograpghy manipulation View 3
View 5
1
View 4
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Test #1: 115 Points
1. Plan 2. Axon 3. Perspective Images 4. Perspective Images 5. Perspective Images
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3.0
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GALAPAGOS
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3.1
GALAPAGOS Eugene Southern Hills and Genomes
Objective With an agreed upon site and altered Evo Devo selection Ch. 3 will be analyzing the best, worst, and two additional studies regarding slope analysis and flow possibilities for with the 50 point slope iteration acting as the inout for Galapagos. Genomes and Fitness: Width: 80 Height: 75
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3.2
EVO-DEVO Eugene Southern Hills Evaluation of Selected Site
Elevation
Slope
Solar radiation
Runoffs
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3.3
GALAPAGOS Best Slope Analysis Result View 4
View 2
2
View 3
N 1
1. Best Slope Analysis Axon / Plan Genomes and Fitness: Population Geometry: 57 Width: 146 Height: -33
1. Plan View: Slope Analysis 2. View 1 3. View 2 4. View 3 5. Axon View
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3.4
GALAPAGOS Worst Slope Analysis Result View 4
View 2 2
View 3
N 1
2. Worst Slope Analysis Axon / Plan Genomes and Fitness: Population Geometry: 63 Width: 71 Height: 196
1. Plan View: Slope Analysis 2. View 1 3. View 2 4. View 3 5. Axon View
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3.5
GALAPAGOS Interesting Study #1 Slope Analysis Result View 4
View 2
2
View 3
N 1
3. Interesting Study One Axon / Plan Genomes and Fitness: Population Geometry: 40 Width: 144 Height: 181
1. Plan View: Slope Analysis 2. View 1 3. View 2 4. View 3 5. Axon View
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3.6
GALAPAGOS Interesting Study #2 Slope Analysis Result View 4
View 2
2
View 3
N 1
4. Interesting Study Two Axon / Plan Genomes and Fitness: Population Geometry: 52 Width: 135 Height: 102
1. Plan View: Slope Analysis 2. View 1 3. View 2 4. View 3 5. Axon View
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3.7
GALAPAGOS Generation 2
1. Best Slope Analysis Axon / Plan Genomes and Fitness: Population Geometry: 57 Width: 146 Height: -33
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2
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1A
2A
3A
4A
2. Worst Slope Analysis Axon / Plan Genomes and Fitness: Population Geometry: 63 Width: 71 Height: 196
3. Interesting Study One Axon / Plan Genomes and Fitness: Population Geometry: 40 Width: 144 Height: 181
4. Interesting Study Two Axon / Plan Genomes and Fitness: Population Geometry: 52 Width: 135 Height: 102
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3.8
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GALAPAGOS Selected Genome For Flow Study
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3.9
GALAPAGOS Best Flow Analysis Result
View 4 2
View 2
#68 Width 60 Height 165
View 3
N 1
1. Plan View: Flow Analysis 2. View 1 3. View 2 4. View 3 5. Axon View 3 60 |
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3.10
GALAPAGOS Worst Flow Analysis Result
View 2
View 4 2
#66 Width 58 Height 167 View 3
N 1
1. Render / Plan 2. Drawing / image 2 3. Photograph /Image 3 4. Render / Image 4 5. Drawing / Axonometric 3 62 |
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3.11
GALAPAGOS Random 1 Flow Analysis Result
View 2 2
View 4
#67 Width 53 Height 167
View 3 N 1
1. Render / Plan 2. Drawing / image 2 3. Photograph /Image 3 4. Render / Image 4 5. Drawing / Axonometric 3 64 |
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3.12
GALAPAGOS Random 2 Flow Analysis Result View 4
View 2
2
#66 Width 53 Height 168
N
View 3
1
1. Render / Plan 2. Drawing / image 2 3. Photograph /Image 3 4. Render / Image 4 5. Drawing / Axonometric 3 66 |
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3.13
GALAPAGOS Generation 2
1. Best Flow Analysis Axon / Plan Genomes and Fitness: Population Geometry: 68 Width: 60 Height: -165
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1. Worst Flow Analysis Axon / Plan Genomes and Fitness: Population Geometry: 66 Width: 58 Height: -167
1. Interesting Flow Analysis 1 Axon / Plan Genomes and Fitness: Population Geometry: 67 Width: 53 Height: -167
1. Interesting Flow Analysis 2 Axon / Plan Genomes and Fitness: Population Geometry: 66 Width: 53 Height: -168
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3.14
VR VISUALIZATION Selected domain
Conclusion The worst slope analysis mesh was selected to move forward because of the unique drainage patterns formed within and the deep pooling possibilities that form within the flow pattern offer a unique setting that is worth further investigation. The main feature within the landscape (Marked area on mesh) is also one of the most unique parts of the site that hold a lot of potention for creative design processes. Whether it has a function or is purely aesthetic is up to the reader. We would like to explore both avenues.
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4.0
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VR VISUALIZATION
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4.1
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VR VISUALIZATION Mesh segmentation Based on Slope
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4.2
VR VISUALIZATION Landscape Layers
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Topography
Understory population
Landcover
Tree population Austin Mahar / Michael Soto / EVOLUTIONARY LANDSCAPE
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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 Perspectives
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4.3
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VR VISUALIZATION Perspectives
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4.4
VR VISUALIZATION Evolutionary tree
ORIGINAL TOPOGRAPHY
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GENERATION 1 (water)
GENERATION 2 (slope)
GENERATION 3 (solar)
SEGMENTATION (Slope)
FINAL LANDSCAPE
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CREDITS
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Michael Soto
Austin Mahar
Michael is entering his final full year at the University of Oregon studying Landscape Architecture.
Austin is currently a Pursuing a degree in Landscape Architecture at the University of Oregon.
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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