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Geoprocessing in Web Time: Distributed Computing for High Performance Geoprocessing Robert Cheetham [email_address] @rcheetham
Site Selection Tools
Buying a Home
Close to Center City   Walk to Grocery Store   Nearby Restaurants   Library   Near a Park   Biking / walking distance from our work   Biking distance to fencing   somewhat important vital very important nice to have somewhat important  very important somewhat important Robert’s Rules of Housing
[object Object],[object Object],[object Object],[object Object],[object Object],Your Factors might include…
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Siting Decision Factors
Not a new idea … Design with Nature
Not a new Idea … Dana Tomlin
Desktop GIS
x 5 x 2 x 3 x 1 + + + = Generate Output Heat Map
Web is different from the Desktop ,[object Object],[object Object],[object Object],[object Object],[object Object]
ArcGIS Server ,[object Object],[object Object],[object Object],[object Object]
But wait … there’s a problem ,[object Object],[object Object],[object Object]
 
 
 
 
Specific Optimization Goals ,[object Object],[object Object],[object Object]
Optimization: File Format ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Optimization: Distributed Processing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distributed Processing
Binary Messaging Protocol ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Success!! ,[object Object],[object Object]
Additional [Experimental] Measures ,[object Object],[object Object],[object Object],[object Object]
Optimizing one process sub-optimizes others ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High Performance Geoprocessing 2.0 ,[object Object],[object Object],[object Object]
High Performance Geoprocessing 2.0 ,[object Object],[object Object]
GPU Processing Research
GPUs
GPU geoprocessing research
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Results
Walkshed.org
Walkshed.org
 
 
 
 
Food, Culture and Sustainability
OMB Watch:  Federal Spending Equity
Sea Level Rise
GPU Processing Research
GPUs
GPU geoprocessing research
Stormwater Modeling
Stormwater Modeling Game
Stormwater Modeling Game
Stormwater Modeling Game
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Many Thanks! © Photo used with permission from  Alphafish , via  Flickr.com
Geoprocessing in Web Time: Distributed Computing for High Performance Geoprocessing Robert Cheetham [email_address] @rcheetham

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Geoprocessing in Web Time (Robert Cheetham)

Hinweis der Redaktion

  1. So this story starts with my wife and I looking for a house and being frustrated by the type of information we had access to. We didn't know where to start. Each of the real estate agents we met knew a particular part of the city really well, so they tended to steer us toward those houses.
  2. We didn't own a car, so we wanted to find a place that was * Close to Center City (somewhat important) * Walking distance to a grocery store (vital) * Near some restaurants (very important) * Walk to a library (nice to have) * Near a Park (yes!) * Close to fencing * Biking / walking distance from our work
  3. The factors you consider important are probably not the same as ours. Maybe yours are related to child care or rankings for local schools or being near a farmer's market. Or maybe you want to be close to PhillyCarShare or public transit, but don't want to be too close to downtown.
  4. We selected a variety of factors that contribute to sustainability, ranging from location in a state or federal tax incentive zone to environmental amenities like tree canopy to transit considerations like access to bus and regional rail lines. Retail businesses targeting markets may be interested in demographic factors like age and per capita income and proxies for environmental engagement like recycling participation.
  5. He wrote a book in 1969 called Design with Nature, and focused on sustainable and ecological design. Among other concepts, he described how a series of inputs drawn on transparent acetate sheets. Could be combined as a set of map overlays to identify the best site for a particular facility, road or whatever.
  6. Now fast forward to the 1990’s. We’re interested in digital maps. This approach to compositing several digital maps was developed further by Dana Tomlin, who is now also a professor at University of Pennsylvania. Tomlin developed the computational vocabulary to perform this type of work – he called it Map Algebra. He’s also a really great teacher, so if you ever get a chance to take a class with him. Do it. He’s great.
  7. So, these days people do this kind of work using desktop GIS systems. You are looking at the ArcMap application from ESRI
  8. Export to KML
  9. Export to KML
  10. Export to KML