Scenario reports (graphs and maps)

[perrygeo]

Graphs, charts,etc from the model output.

• Graph timber volume over next 100 years
• Map of standing volume, species and ages over time
• Graph financial return over time
• Visualize potential to realize carbon credits, carbon sequestration ?

[perrygeo]

I don't feel a pressing need to get this 100% right the first time; the output and visualizations lend themselves well to organic iterative development and will largely be based on the rounds of feedback from the Alpha and Beta releases.

That being said, there are some solid bets that we know will be required. We can start mocking these up and getting some demos ready...

Graphs over time

• standing timber volume
• annual harvest
• stored carbon
• financial returns (timber sales, carbon, based on current markets?)
• interactively visualize potential carbon; will involve some way for the user to plug in anticipated carbon market values and see how the financial return graph for carbon shifts.

Interactive Maps (w/ time slider?) showing choropleth map of:

• standing timber volume
• optimized harvest schedule (cut volume per time period)
• age class over time for each stand

[perrygeo]

Additionally, we should anticipate at least one report which shows the value of ecosystem services. This is vague but we do have some rasters which we could use zonal stats to come up with some sense of value beyond carbon and timber (ie wildlife habitat, recreation, aesthetics, water quality, etc). Analisa/jocelyne will have some ideas.

[perrygeo]

For the alpha release we discussed one or more scenarios with

Graphs and maps over time:

• harvest
• standing timber
• carbon

Maps will be two-at-time side-by-side linked panes.

[perrygeo]

I looked at D3 and it was powerful but a bit too low-level for what I was trying to achieve. JQPlot seemed to fit much better and used a higher-level abstraction allowing for a more declarative style.

So I mocked up a quick example of what it might look like: https://gist.github.com/3539326 .

This excercise definitely informed the data structure question - we should make sure the geojson results from a scenario contain data in basically the same format used by jqplot:

{ 'carbonData': [
    [['2004-08-12 4:00PM',4], ['2024-09-12 4:00PM',6.5], ['2048-10-12 4:00PM',5.7], ['2067-12-12 4:00PM',3.2]],
    [['2004-08-12 4:00PM',5], ['2024-09-12 4:00PM',7.5], ['2048-10-12 4:00PM',9], ['2067-12-12 4:00PM',9.2]]
], 
 'labels': [
   'scenario1',
   'scenario2'
]}

[perrygeo]

closing in favor of more specific tickets