- Rachel Li ryli@uw.edu
- Xiaojing Zhu xiaojzhu@uw.edu
- Guanming Wang guanmw@uw.edu
Here is the breakdown:
-
Rachel:
- Made Contact with collaborator
- Storyboard
- Cleaned data
- Implemented animation
- Implemented time controller
- Implement histogram
-
Xiaojing:
- Made Contact with collaborator
- Storyboard
- Implemented mountain part
- Cleaned mountain part's data
- Poster
- Final report
-
Guanming:
- Implemented page layout with HTML and CSS
- Cleaned histogram's data
- Implemented histogram
- Implemented buttons
- Implemented Bootstrap carousel
- Implemented time converter
- Final report
We collaborated with Janneke Hille Ris Lambers from Department of Biology, University of Washington, who is interested in forecasting the impacts of climate change on phenology of wildflowers. The data was collected through the citizen science program MeadoWatch.
We develop an animated narrative visualization for the seasonal timing of flowering (i.e. wildflower phenology) in the high mountain meadows of Mt.Rainier to help phenologists understand the biological impacts of climate change. Data was collected by volunteers for 10 plant species at 9 locations along the east branch of the Lakes Trail over a large gradient in elevation from 2013 to 2015. In our visualization, we use animation to show the snowmelt events and the life cycle of wildflowers over time. The viewer watches the wildflower phenology and snowmelts as the animation plays and makes comparison among three years, seeing the relative impact that the climate change has had on the snowmelt date and the wildflower phenology. Our narrative visualization along with other interactive exploration functionalities aim to provide viewers an engaging and effective story-discovering experience along with some insight into the impact of climate change on wildflowers.
Access our visualization at http://cse512-16s.github.io/fp-racheryl-xiaojzhu-dennis418szsy/ or download this repository and run python -m SimpleHTTPServer 8000 and access this from http://localhost:8000/.