Project details
Phenology Visualization Tool
Company: USA National Phenology Network
Period: 2015 - 2015
Duration: 6 weeks (full-time equivalent)
- AngularJS
- D3.js
- Google Maps API
- Node.js
- Sass
Sole developer, work performed via DJCase & Associates.
Re-implemented a Google Maps based tool, over existing web services, for visualizing citizen science phenological data. The tool allows for selection among all species (plant or animal) catalogued by nature's notebook participants displaying data on a map and allowing filtering via date range, phenophase, geographic location (topo/geojson regions, bounding boxes) and visualization of plotted data.
The visualizations are written in D3 and have a high level of configurability. The next version of the tool is set to release on April 4.
Project pictures
About me
Full Stack Software Developer
My skills
- CSS
- JavaScript
- Java
- AngularJS
- Git
- Node.js
- Linux
- D3.js
- Google Maps API
- MongoDB
- Sass
- Twitter Bootstrap
- Responsive Design
- ExpressJs
- Mongoose
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Sole developer, work performed via DJCase & Associates.
Re-implemented a Google Maps based tool, over existing web services, for visualizing citizen science phenological data. The tool allows for selection among all species (plant or animal) catalogued by nature's notebook participants displaying data on a map and allowing filtering via date range, phenophase, geographic location (topo/geojson regions, bounding boxes) and visualization of plotted data.
The visualizations are written in D3 and have a high level of configurability. The next version of the tool is set to release on April 4.
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Phenology Visualization Tool
(click to see)
2015 - 2015 (6 weeks FTE)
Client: USA National Phenology Network
Industry: Science
- AngularJS
- D3.js
- Google Maps API
- Node.js
- Sass
Sole developer, work performed via DJCase & Associates.
Re-implemented a Google Maps based tool, over existing web services, for visualizing citizen science phenological data. The tool allows for selection among all species (plant or animal) catalogued by nature's notebook participants displaying data on a map and allowing filtering via date range, phenophase, geographic location (topo/geojson regions, bounding boxes) and visualization of plotted data.
The visualizations are written in D3 and have a high level of configurability. The next version of the tool is set to release on April 4.
3 pictures
