Changes between Version 1 and Version 2 of WorldWindChallenge/2014


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Timestamp:
Jun 2, 2014 4:14:46 PM (3 years ago)
Author:
pcampalani
Comment:

first version

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  • WorldWindChallenge/2014

    v1 v2  
    5050   * ''spacetime bbox:'' year 2008; world-wide
    5151
     52WCPS can hide the complexities derived by:
     53
     54   i. a proper handling of two different NODATA values from MOD and CCI products,
     55   i. synchronization of data with different spatial and temporal resolution
     56
     57The presented features are just a sample of how to exploit the WCPS query language to get a variety of information from geo-services, without any need of further maths on the client side.
    5258
    5359=== Demo Features
     
    5763==== Area and Time of interest: data access and analysis
    5864
    59 As the WW globe appears, the user has to choose its Region of Interest (RoI):
     65As the WW globe appears, the user has to choose its Region of Interest ('''RoI'''):
    6066
    6167   * click on the `'Select interest area'` button
     
    6773Once the RoI is correctly defined, the user can click on the `'Start analysis of selected area'` button to trigger the retrieval of the three AOT products (MODIS, CCI, and MACC) over those areas: the frame of analysis of the demo is now spatially defined, but the date of analysis still needs to be selected.
    6874
    69 By default, the demo Day of Interest (DoI) is set to 1^^st^^ of January 2008 (first available date), and the correspondent maps are visualized in the left-side panel `'Time slices preview'`.
    70 The user can then move the analysis window along the time by visualizing so-called Hovmoeller time-latitude and time-longitude profiles along selected orthogonal cross-sections which the used can define by single mouse clicks on the WW globe, within the RoI. As this is done, Hovmoeller maps will appear in the bottom panel of the same name.
     75By default, the demo Day of Interest ('''DoI''') is set to 1^^st^^ of January 2008 (first available date), and the correspondent maps are visualized in the left-side panel `'Time slices preview'`.
     76The user can then move the analysis window along the time by visualizing so-called Hovmoeller time-latitude and time-longitude profiles along selected orthogonal cross-sections which the used can define by single mouse clicks on the WW globe, within the RoI. As this is done, '''Hovmoeller maps''' will appear in the bottom panel of the same name.
    7177
    72 When an interesting AOT situation is recognized on the Hovmoeller maps, the calendar in the bottom-left corner can be used to move the time DoI to a different date: the preview of the time slices are then consequently refreshed in the left-side panel.
     78When an interesting AOT situation is recognized on the Hovmoeller maps, the '''calendar''' in the bottom-left corner can be used to move the time DoI to a different date: the preview of the time slices are then consequently refreshed in the left-side panel.
     79Note that the data from MACC forecasts are averaged on the 24H period of a day, to synchronize it with MOD and CCI temporal support.
    7380
    74 To aid the user on spotting an interesting DoI, by clicking on a product preview, the image is overlaid on the WW globe and an additional panel called `'Statistics'` shows sample mean and standard deviation of the data, plus a the full plot of temporal evolution of AOT mean values on the RoI.
     81To aid the user on spotting an interesting DoI, by clicking on a product preview, the image is overlaid on the WW globe and an additional panel called `'Statistics'` shows, not surprisingly, some sample '''statistics''' on the data:
     82
     83   * sample mean
     84   * sample standard deviation
     85   * a the full plot of temporal evolution of AOT mean values on the RoI (the vertical blue line identifies the current DoI)
    7586
    7687After RoI/DoI spatio-temporal window is set, the use can start using the tools for cross-comparing the three products with each other.
    7788
    78 ==== AOT cross-comparison:
     89==== AOT cross-comparison: WCPS in action
    7990
    8091The demo offers 3 different features for aid the numerical and visual comparison of two separate AOT products: A
    81 In all the cases 
     92In all the cases, the user first needs to select two out of the three available products (although WCPS has no limitations on the number of datasets that can be used in a request):
    8293
    83 WCPS handles all NODATA and different spatial temporal resolutions.
     94   * right-click on the thumbnail image of the `'Time series preview'` panel
     95   * enter the `'Send To'` menu
     96   * click on one of the tools shown
     97
     98You will see the correspondent bottom-panels being filled as you send products: as the second one is selected, the proper WCPS processing query is sent to the server and the result is visualized.
     99
     100The 3 features currently available are:
     101
     102 Scatterplot :: 2D plots that compare each co-located RoI pixel of the products is shown here: AOT is the target variable in both the dataset, so scatterplots can help showing the degree of similarity between the two sources by the degree of linearity along the x=y line of the cartesian space.
     103
     104 Delta Map :: While scapperplots analyze the accordance of the two products along the feature space (what is the degree of accordance for high or low AOT loadings?), delta maps maintain the geo-referencing along its axes by showing the difference in AOT estimation on each pixel of the RoI and on the 24H of the selected DoI. Hot spots in the delta map (high relative positive or negative differences) can give hints on ''where'' such differences happen: whether its on land or ocean, which type of land use seems to be the cause, etc.
     105
     106 Merged Map :: After scatterplots and maps are visualized in the bottom-panel, a third feature is available to visualize on the globe the merged map of the two products being compared. This is an other precious tool for researchers: at a global scale different models or sensors might show better predictive power under certain peculiar circumstances, and sometimes the best answer is actually given by a weighted mix of the various output. While no chance is currently provided for a manual insertion of weighting coefficients, a pairwise merging average can be overlaid on the globe by selecting this feature.
     107
     108After visualizing the merged product on the WW globe, the demo is meant to finish.
     109A new tour of analysis can always be undertaken by wither changing date on the reference calendar (bottom-left corner) or by clearing the RoI selection and start it over.
    84110
    85111
    86112== Credits
    87113
    88 [[Image(http://www.meeo.it/wp/wp-content/uploads/2014/01/meeo_logo_trans.png)]]
     114   * '''Demo developers''' [[Image(http://upload.wikimedia.org/wikipedia/en/b/bf/Jacobs_University_Logo.jpg, height=20px))]]
     115     * Dumitru, Alex
     116     * Merticariu, Vlad
    89117
    90 ----
    91    - '''`PC`''' : Piero Campalani
    92    - '''`AD`''' : Alex Dumitru
    93    - '''`VM`''' : Vlad Merticariu
    94    - '''`AB`''' : Alan Beccati
    95    - '''`SM`''' : Simone Mantovani (MEEO Srl)
    96 ----
     118   * '''Demo design and specification''' [[Image(http://upload.wikimedia.org/wikipedia/en/b/bf/Jacobs_University_Logo.jpg, height=20px))]]
     119     * Campalani, Piero
     120     * Beccati, Alani
    97121
     122   * '''WCS/WCPS data ingestion and service''' [[Image(http://www.meeo.it/wp/wp-content/uploads/2014/01/meeo_logo_trans.png, height=20px)]]
     123     * Barboni, Damiano
     124     * Mantovani, Simone
     125
     126The project is co-funded by the European Community [[Image(http://www.euroesprit.org/content/delta2/EU_Flag.jpg, height=20px)]]