environmental scivis via dynamic and thematc mapping

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January 2010 Presentation for industry group regarding environmental scivis - scientific visualization using techniques such as dynamic and thematic graphing and mapping.

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  • environmental scivis via dynamic and thematc mapping

    1. 1. environmental scivis via dynamic and thematic mapping Presenter: Neale Misquitta Sustainable Environmental and Energy Solutions njm at se2si dot com 412 477 8080
    2. 2. Intro – what is scivis Sci entific Vis isualization - the form of conveying (a)  scientific data relationship(s) &quot;..pictures, based on exploration of data should force their message upon us.&quot; John Tukey, Exploratory Data Analysis, 1977 <ul><ul><li>starts with the questions ? why was data collected, what's interesting, what is the story. </li></ul></ul><ul><li>  </li></ul><ul><ul><li>if you look at data with the same tools (graphs and pie charts), you will get the same answers. </li></ul></ul><ul><li>  </li></ul><ul><ul><li>you have tons of data and there are tons of public source data, but it is not used because it is not visualized. </li></ul></ul>
    3. 3. Intro – What is dynamic mapping real time data depiction of temporal and spatial changes <ul><ul><li>meaningful solutions require insights from numerous fields - statistics, data mining, information modeling, information visualization. </li></ul></ul><ul><li>  </li></ul><ul><ul><li>  data are typically a moving target , we need to build representations of data that adjust to temporal and spatial values </li></ul></ul><ul><li>  </li></ul><ul><ul><li>groundwater and river levels fluctuate, constituent and NAPL conditions change, system operating conditions vary </li></ul></ul>
    4. 4. Intro – what is thematic mapping spatial pattern of attributes <ul><ul><li>querying (large?) environmental (internal and/or open source/public) databases for patterns of attributes </li></ul></ul><ul><li>  </li></ul><ul><ul><li>can be used for a portfolio of sites, types of sites, as well for physical/chemical/biological evaluation of individual sites </li></ul></ul><ul><li>  </li></ul><ul><ul><li>also used for remedial performance visualization </li></ul></ul><ul><li>  </li></ul><ul><ul><li>how can questions be answered quickly if not instantaneously </li></ul></ul><ul><li>  </li></ul><ul><ul><li>CSM concepts are first generation, built upon by dynamic and thematic algorithimic techniques.  if you are stuck in CSM mode, it is time to leverage the CSM. </li></ul></ul>
    5. 5. Intro – qualifiers <ul><ul><li>inter and intra data sets need planning.  the purpose of the use of data set has equivalent effect on those needs as data itself. </li></ul></ul><ul><li>  </li></ul><ul><ul><li>complex data sets like environmental data sets require unique treatment, not cookie cutter approach </li></ul></ul><ul><li>  </li></ul><ul><ul><li>  large data sets introduce complexity in getting big picture understanding - data deluge - TMI syndrome </li></ul></ul><ul><li>  </li></ul><ul><ul><li>  there are no absolutes with 'real world' environmental data.  have we compensated for outlier effects , how? </li></ul></ul><ul><li>  </li></ul>
    6. 6. seven habits - scivis process
    7. 7. environmental data acquistion
    8. 8. the next few steps
    9. 9. putting it together - compliance status www.googlemaps.com/oandm_sites/login/0apxltsturw/page_6
    10. 10. putting it together - DNAPL Recovery www.googlemaps.com/oandm_sites/login/0apxltsturw/page_8
    11. 11. putting it together - Remedial Approach Mapping www.googlemaps.com/oandm_sites/login/0apxltsturw/page_11
    12. 12. putting it together - Subsurface Conditions www.googlemaps.com/oandm_sites/login/0apxltsturw/page_13
    13. 13. putting it together - techniques <ul><ul><li>preceeding force directed graphs developed from public source data set </li></ul></ul><ul><ul><li>minimum energy criteria used in physical simulations are an example of global optimization methods (like simulated annealing and genetic numeric algorithims) </li></ul></ul><ul><ul><li>undirected graphs prepared by geometric clustering and multilevel viewing algorithm (Barnes-Hut heirarchial space) </li></ul></ul><ul><ul><li>graph compilation </li></ul></ul><ul><ul><ul><li>nodes - site data in x,y position format, velocities dx, dy, and mass m </li></ul></ul></ul><ul><ul><ul><li>spring constant s </li></ul></ul></ul><ul><ul><ul><li>dampning 0 to 1 </li></ul></ul></ul><ul><ul><li>Parameter force toward nodes by Hookes Law and away from nodes by Coulomb's law </li></ul></ul><ul><ul><li>force directed algorithims produce a graphical representation of minimum energy state - monotonic convergance </li></ul></ul><ul><li>THIS IS JUST ONE EXAMPLE OF DYNAMIC AND THEMATIC MAPPING TECHNIQUES APPLIED TO ENVIRONMENTAL DATA SETS </li></ul>
    14. 14. what's next <ul><ul><li>scivis is next gen tool, builds on conceptual site model </li></ul></ul><ul><li>  </li></ul><ul><ul><li>asynchronous data collection and evaluation </li></ul></ul><ul><li>  </li></ul><ul><ul><li>asynchronous public source information scraping </li></ul></ul><ul><li>  </li></ul><ul><ul><li>site mashups - enabled with site and data relational mapping </li></ul></ul><ul><li>  </li></ul><ul><ul><li>applications in regulatory, private sector (corporate), litigation support, and public fields </li></ul></ul><ul><li>  </li></ul><ul><li>access - email for sign-in </li></ul>
    15. 15.   Questions? environmental scivis via dynamic and thematic mapping Contact Info: Neale Misquitta Sustainable Environmental and Energy Solutions njm at se2si dot com 412 477 8080  

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