If you are additionally interested in aggregating parameters, you should go through this page first and then read about
region 0 0 1800 0 0 1800
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table X Y Cl_concentration 165 1630 20 460 1690 30 435 1500 40 105 1265 40 300 1080 75 560 1240 80/0:50-130 1010 1600 65 1400 1600 85 1350 1260 130 1510 950 175 1710 650 150 540 530 145/0:95-195 225 755 90 70 590 70 210 130 65 435 130 100 930 45 105/0:55-155 1010 275 160 1135 175 130 1185 360 170 1705 415 125 1625 160 85 915 1270 101 1000 1165 130 860 1100 130 1770 1545 85 1135 1070 155 705 870 145 1190 750 220 1055 545 210
As only visible result of loading an input data file (as e.g. the file
that consists of the example sections above), the following contents in the
management window will appear.
The meaning of the variogram is explained in
Kriging Basics / Theoretical concepts. A description of the variogram
graphics is found in Handling Variograms.
The facilities to diplay the kriging result are described in Result Display Options.
The preparation of the fuzzy kriging process must be done in two steps:
To find a proper theoretical variogram (a variogram function - described by
the parameters in the edit and listbox fields - that fits the experimental
variogram) should be done with care, because its quality determines
the quality of the kriging results.
A detailed description for fitting the theoretical variogram can be found on the page Theoretical variogram fitting (Function types and parameters).
If you do not use the above example data you must fix a different theoretical
variogram, of course.
For simple testing purposes, where the quality of the kriging result is not important, a 100% linear theoretical variogram should do (instead of this 50% gaussian and 50% spherical theoretical variogram in the above example). This variogram type has the advantage that the kriging result is independant of range, sill and nugget effect, so the values of these parameters are always sufficient. As warning there must be said that it is not a common variogram type, it is only easy to handle!
You need not to start the kriging process; it is started automatically everytime when a recalculation is needed, which guarantees that all displayed information in the kriging window fits together anytime (the status of the calculations can be seen at the top of the screen).
The size of the result graphics (at the right side) can be changed by the buttons at the bottom right of the window (the "all"-button usually should change it to a good size).
The lettering of the isolines can be achieved by dragging an arrow in the display with the mouse and then pressing "L" (at the intersections of isolines with the arrow an inscription is placed). The dialog window "Options"/"Lettering" can change the format and size of the numbers.
After following the above instructions the display shows isolines for the most possible values (in this case, with respect to these isolines, there is no difference between the usual crisp and fuzzy kriging results). The data points are small squares for crisp input values and small triangles for the fuzzy values (and small "u"s indicate undefined values (positions where other parameters have a value or where an "undef" has been assigned in the input data file)). The fuzziness of the result (possible deviations of the results) is displayed as density of the small dots. More detailed information at Result basics / Overview and Result Display Options / Overview, where other types of result-display are also described.
The graphical result can be exported to the clipboard by selecting "Edit"/"Copy result to clipboard", an ASCII representation can be obtained by "File"/"Krige values for raster and save to ascii-file", which needs an additional inputfile, described at Export of results .