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