Now til Start:
- Phase 0: Getting development environment set up
- Set up homepage, wiki, repositories, etc.
- Phase 1: Exploratory phase
- Learn how to embed maps on a webpage.
- Learn the relationship between Google Earth and Google Maps.
- How are they the same, how are they different? What can you do with one that you can't do with the other?
- Explore KML and general XML.
- Explore Google Earth and Google Maps APIs.
- Create a pie chart using KML.
- Finish exploratory work if neccessary.
- Phase 2: Finalize design
- Page by page description of what the user sees.
- How to input data. Are they going to upload files, input in a text box? What format?
- How to export data. Format? Data persistence? Can users store data, results, maps, etc.?
- What is the viewer? Google earth? Google maps?
- How large are the pie charts going to be in comparison with the geography? How do we deal with the problem of overlapping pie charts?
- How are we going to color the pie charts? What if there are large numbers of haplotypes, how do we color them all distinctly and usefully?
- The results of these decisions will be a comprehensive design document posted on the wiki.
- Implement the basic pie chart generation functionality. Functionality should include:
- Basic import of data.
- Basic KML output writer.
- Function that draws a pie chart.
- Function that plots objects (working up to pie charts, but starting with placemarks) on a map.
- Write corresponding documentation.
- Combine pie chart generation and chart plotting functionality.
- Write the functions that allow adjustments to the output (e.g. changing pie sizes, allowing the user to change haplotype colors, etc).
- Write corresponding documentation.
- Work on a function that allows the user to move pie charts around spatially (and to save those movements).
- Write corresponding documentation.
- Write the functions that display the KML back to the browser.
- Write corresponding documentation.
- Prepare for Botany conference.
- Get code submitted to Google for midterm code check in.
- Get a prototype of the viewer available for download.
- Make sure I'm meeting the midterm evaluation criteria
- Work on bugs that arose from earlier code.
- Revisit full data manager design. Finalize UI design.
- Implement UI for the data import functionality.
- Expand (?) data files that are acceptable (haplotype, genotype, etc.)
- Write the corresponding documentation.
- Implement UI for customizing data analysis.
- Example: the user should be able to select what loci/alleles/populations to include/exclude in the analyses.
- Implement UI for output data manipulation.
- Example: the user should be able to change the relative pie sizes, move pies around, change haplotype colors, etc.
- Implement functions that allow the user to save the map visualization (e.g. jpg) or to save the KML file.
- Perform user tests.
- Ensure that the viewer and the data manager are well integrated.
- Deposit code with Google.
- Update website with new product, and all documentation.
- Done coding. Final evaluations.
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