Assignment for PART II Review, Tuesday 2/21
(image of Director Kathryn Bigelow of The Hurt Locker)
Please make a Premiere Movie. This is a first pass – we have weeks to improve it. Have fun with it. Focus on content and timing (not transitions, etc).
Please also print 11×17 vertical (content 11×11) and upload revised WordPress post using category 2.8 PART II REVIEW.
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1.0 Project Ideation
See Part I Review requirements below- revise all work. This is all very important – revised clarity of idea and “finer-grained” understanding.
1.1 Title page
- title, graphic reference of your problem with your own color affect, and your names.
- Add Hypothesis and 3 research questions to first slide.
1.2 Problem Definition
- 2 paragraphs (see past assignment)
- important diagrams and infographics of your problem.
- research questions / assumptions that your aim to prove with a more GRANULAR understanding
1.3 Theoretical framework Diagram
Revise : grey-out previous indicators not currently used
- Big Idea / Problem, Subcategories of idea, qualities and indicators
- make Icons for each quality/indicator (solid squares with void for icons)
- consider symbols for Fixed Data (Elk), walking data (Elephant) and Phenomena (phone sensors, arduino sensor data, other) Site visit
1.4 Research: Lit review
- Quote from three of the readings/videos with citation and thumbnail image
- Citation from periodicals (min. 1 local and 2 national)
- Scientific Journal citation (1-2) explaining the science
1.5 Research: Diagrams of the program, Ven diagrams, User Types
- Diagram any ideas for user types such as by age, time of week, live/work/play, etc.
- Info graphics with large text heirarchy of the problem in the world and in Eugene.
1.6 Background Map: City
- Aerial satellite image, outline of City limit, highlight aspect of city most relevant to your project (possibly desaturate other areas), possibly overlay vector information, location site
- Identify baseline areas of ideal “good” and “bad” locations in Eugene related to your idea (highlight them on City plan) – some slide why.
(examples for Tigard air pollution: sources such as roads and industrial sources, and sensitivities such as schools, parks with playgrounds and catchment homes of student residences)
1.7 Background Map: District/Neighborhood
- vector drawings using OSM lines, consider possible sources and sensitivities (good/bad…example in Tigard is bad roads and industrial sources in magenta and good locations of children in plus symbols.
(examples for Tigard air pollution: sources such as roads and industrial sources, and sensitivities such as schools, parks with playgrounds and catchment homes of student residences)
1.7 Background Map: Site Proper
Vector drawing of the site this should center on Oak and 8th Avenue though your site will be in front of the Market.See below for site plan!
1.8 GIS VIZ TOOL, Elephant individual maps 1: (example from Nicholas de Monchaux at Berkeley)
- Use the tool to map INDIVIDUAL quality/indicator. Key / legend in a corner. highlight color of quality not background. data dictionary in legend. Use circles but also try to make your own parametric symbols using the Icon tool, Text Tag, Scale, etc.
1.9 GIS VIZ TOOL, Elephant individual maps 2
1.10 GIS VIZ TOOL, Elephant individual maps 3
1.11 GIS VIZ TOOL, Elephant individual maps 4
1.12 GIS VIZ TOOL, Elephant individual maps 5
1.13 GIS VIZ TOOL, Elephant individual maps 6
1.14 Analysis Findings
- List three analysis or findings from your data and possible ideas for next steps as design goals
- List three possible sensors you could use and why you would use them
- any diagrams or thumbnail images next to the above text.
II. Skills (Part II)
2.1 Evidence to of Arduino work (this will vary): pics of you holding sensor, GIF or video testing it.
2.2+ Control tests; Pilot test; on-site tests 2×2 or 3×3 (not required).
2.3 Excel Graphs (optional): test graphs that look at time, data workflow, visualization, outcomes. This can be done with Arduino data or data collection on-site OR “walking” point to point with Google Street View.
2.4 GIS VIZ Tool (Elephant) Bird’s Eye Z-line visualization of 2-4 parameters for each subtopic (demonstrated 2/16) Video link (from Covid) that discusses Rhino to Illustrator workflow. Start around 22:00 minute mark! MAKE2D and EXPORT SELECTED each layer of info: buildings, streets, etc and your Z lines with their baked geometry, color and thickness (PW printwidth). Then overlay them all in Illustrator. Taper the Z-lines (watch my trick on scale 200% checking off “scale line weight” and then scale 50% unchecking “scale line weight”), make a copy and then make the stroke fat like 6 or 8pt, drop opacity and do a Gausian Blur!
3.0 Design: Your desired health to the problem you identified is already in the air. It just needs your help to touch down.
3.1 Mood / Atmosphere / Phenomena: Video and or audio clips : relate to qualities and conditions of qualities (data dictionary). How do you organize these around your theoretical framework as a system of thought? Tile 9 square images for print (matrix – consider axis). Matrix of key works of quality and condition of quality? time?
3.2 Simple diagram about qualities over timeline of 24 hours or weekday/weekend
3.3 Draft of distribution of units across site and HOW they vary (diagram in works) Site-isometric.
3.4 Isometric of unit (physical and or information): provide answers to these questions posted here in numbered questions text, icons and graphics. Interesting examples here – diagram for now! Even if you do try to design, try to float words and numbers…text ideas of qualities and conditions of those qualities over the site! You will NOT have the refinement below! Sloppy but with your own style is ok! Float data before design.
(Betty Lou Poston, Derek Carr, Chaz Kerns)
(students William Franklin | Betty Lou Poston | Rachel Rimmer)
(student Harrison Moser, Hannah Six, Kevin Tan)
forthcoming in PART III next 4 weeks (we will make a push to a pre-final review early Week 9, pause for studio finals and then our final in Week 11)
- Mass data collection. Special attention to fine-grained scales of time and space. 3×3 Superilla data collection. Baseline locations. Possibly more than one Arduino sensor kit.
- analysis and visualization (critical assessment)
- findings and outcomes from the analysis
- design application based on findings