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main:bgqcomparekriging [2019/01/11 14:50]
rlu45
main:bgqcomparekriging [2019/01/11 15:15]
rlu45
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 The overlap between the current and previous Kriging result on the map provides an intuitive, qualitative comparison between them. ADCI-BGQ also allows quantitative comparison via heat tables to determine whether the two results are close enough and the iterative process can stop (see the overall workflow), which can be achieved by clicking the '​Quantify'​ button. The overlap between the current and previous Kriging result on the map provides an intuitive, qualitative comparison between them. ADCI-BGQ also allows quantitative comparison via heat tables to determine whether the two results are close enough and the iterative process can stop (see the overall workflow), which can be achieved by clicking the '​Quantify'​ button.
  
-The following figures show the popped-up dialog. The top grouping box indicates which two Kriging results of the scenario are being compared. The heat table in the middle of the dialog is generated in the the following way. Each row is a region with a particular dose range in the first Kriging result (called the primary result). Each column is a region with a particular dose range in the other Kriging result. For each region in the primary result, the percentage of the area of the overlap between it and each region in the other result accounting for its own area is determined and filled into the corresponding cell of the table. Thus the percentages in each row sum to 1. Either the current Kriging result or the old one can be treated as the primary result, resulting in two heat tables. Then there is an overall table, which is the average of the two tables.+The following figures show the popped-up dialog. The top grouping box indicates which two Kriging results of the scenario are being compared. The heat table in the middle of the dialog is generated in the the following way. Each row is a region with a particular dose range in the first Kriging result (called the primary result). Each column is a region with a particular dose range in the other Kriging result. For each region in the primary result, the percentage of the area of the overlap between it and each region in the other result accounting for its own area is determined and filled into the corresponding cell of the table. Thus the percentages in each row sum to 1. Either the current Kriging result or the old one can be treated as the primary result, resulting in two heat tables. Then there is an overall table, which is the average of the two tables. Using the drop-down list you can select change the table currently being displayed.
  
 {{ file:​bgq:​compare_kriging_overall.png?​nolink }} {{ file:​bgq:​compare_kriging_overall.png?​nolink }}
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 {{ file:​bgq:​compare_kriging_previous.png?​nolink }} {{ file:​bgq:​compare_kriging_previous.png?​nolink }}
  
-The ideal situation for stopping the iteration process is that the two Kriging results are identical, implying that all diagonal values of each table are 1 and all other values are 0. Thus two values, Bray-Curtis distance and Root-mean-square deviation (RBSD), are computed between the diagonal of the overall heat table and the diagonal of the ideal table. ​The the software ​gives a suggestion ​to the user based on these two values about whether to stop/​continue the iterative process. ​Right now the threshold ​to stop the iteration is set to the case: in the overall table, every diagonal value is 90% (i.e. the overlap between each polygon ​in the current ​plume and the corresponding ​polygon ​in the old plume accounts for 90% of the area of either ​polygon). In this case, the Bray-Curtis ​similarity value is 18/19, which is the minimum ​threshold; the RBSD is 0.1, which is the maximum threshold. ​Right now as long as one of these two statistical values meets the threshold, then the software recommends to stop the iteration.+The ideal situation for stopping the iteration process is that the two Kriging results are identical, implying that all diagonal values of each table are 1 and all other values are 0. Thus two values, Bray-Curtis distance and Root-mean-square deviation (RBSD), are computed between the diagonal of the overall heat table and the diagonal of the ideal table. ​These two values are shown in the bottom label, and ADCI-BGQ ​gives a suggestion based on these two values about whether to stop/​continue the iterative process. ​The criterion ​to stop the iteration is computed from the following ​case, which is also described in the tooltip shown when the mouse cursor hovers over the bottom label: in the overall table, every diagonal value is 90% (i.e. the area of the overlap between each region ​in the current ​Kriging result ​and the corresponding ​region ​in the previous result ​accounts for 90% of the area of either ​region). In this case, the diagonal ​Bray-Curtis ​distance ​is 1/19, which is a maximum ​threshold; the RBSD is 0.1, which is also a maximum threshold. ​As long as one of these two statistical values meets the threshold, then the software recommends to stop the iteration. You can save these three tables to your local computer by clicking the '​Save'​ button.
main/bgqcomparekriging.txt ยท Last modified: 2019/01/11 15:15 by rlu45