Home   /   syllabus

syllabus

COURSE OBJECTIVE

BUILD UP KNOWLEDGE (GEOSPATIAL KNOWLEDGE OF TIME AND SPACE) AND SKILLS (GH GIS VIZ, LADYBUG, ARDUINO SENSORS)

BACKGROUND

Philip’s research area: geospatial understanding of small-scale social and natural phenomena.

COURSE APPROACH

  • Purpose / Design Research Question:
    1. responds to criticism of Air Pollution Tool that in 2-3 hours atmospheric data changes. thusly, 4-8 cheap platforms avoids this problem.
  • Explain lcaBCN project end point
  • Skills to teach and Scales of time and space  (look at Arduino and other IoT)
  • Design (how each student will apply new information)

*Philip – will teach critical understanding of scales of time and space (small scale and time)

SAMPLE INVESTIGATION

Technology Review and Design Examples

Get to know place over time including research problems – visit, observe, quality/indicator. Eugene example problems:

  • Air pollution (5th worst in USA)  – grass pollen (spring), forest fires (late summer)
  • Rain and grey skies (https://www.farmersalmanac.com/blog/2006/10/06/the-10-worst-weather-cities/  – 209 cloud-filled days annually
  • Cost of Living 2% (Cost of Living grade F; Employment grade D – http://www.areavibes.com/eugene-or/livability/)
  • Summer heat (continental climate of large day/night temperature swings up to 30 degrees)
  • Homeless in streets (urban)      Lane County comes in 19th in the nation for the population of un-sheltered homeless as compared to sheltered. http://southtownerotary.org/blog/homeless-populations-in-eugene/

Types of Data: social or ecological; measured on-site or off-site; existing or data acquisition;

Technology- choose sensors, test sensors, refine sensor, pilot test  (will need $100)

Choosing site/s and baseline comparisons (1-3)

Class – build one common Arduino platform that supports individual sensor needs. Benefit of 4-8 sensors by part three of class.

Visualizations of data (start this early) – new animation via NBBJ template and Human UI

Design Revisions

  • street, plaza, site design (screens, trees, vegetation, ecological elements of water, air and light)
  • existing project, current project, or new project?

///

WEEKLY OUTLINE

I.  INTRODUCTION: PURPOSE, TECHNOLOGY + DESIGN

Theory

  • small-scale geospatial analysis for urban and non-urban spaces (Rhino GH instead of ESRI ArcGIS)
  • Kiel Moe and Inaki Abalos Thermal Dynamics; Philippe Rahm; Vicente Guallart (Valldaura, Self Sufficiency Labs, water and energy; ); Lacaton Vassal, summer green houses, solar chimney
  • Project purpose statement and problem statement through initial field observations. Initial GIS VIS work, background via OSM and initial CSV data.

Method, Site Visit

  • Data acquisition – walking and observing
  • Data location over short time such as Strava or Data at the same time (Google Timeline export?)

Skills, Technology

  • Grasshopper refresher
  • GIS VIZ TOOL
  • Arduino (earlier tutorials)
  • Ladybug (later weeks)

…Design (early, middle, final)

II.  SITE VISITS + DATA ACQUISITION

Pilot Data Collection

  • testing limits of time and space; testing for technology failure
  • final dataset development; normalize data with multiple data collection or 24 hour data.

Baseline Comparison

  • Existing data (online)
  • Data Acquistion

III. DESIGN

Three design approaches (JUD article):

  1. Direct (reactions to adjacent data)
  2. Indirect (design quality exploration)
  3. Responsive design (real-time response)

///

PROJECT OUTLINE

See Schedule + Assignments for project outline and grading.

Skip to toolbar