Hi,
I was wondering of it is possible to use an if statement in the Pointcloudexpressionevaluator to calculate values based on values of other components.
I created a pointcloud with different z components (for example z_2018_01 and z_2018_02), these z values represent measures in different months in 2018 . There are also components that represent the year and month (YM_2018_01 filled with value 20801 and YM_2018_02 filled with value 201802)
There are also points that have only one measure value (or in period 1 or in period 2), see table below. From these z components I want to calculate a z_actual (most recent z value). Is there a way to use the Pointcloudexpressionevaluator?
An expression like : “If JM_2018_02 > JM_2018_01 then z_2018_02 else z_2018_01” will be useful but I don’t know of this is possible, and if, how to build such an expression in the Pointcloudexpressionevaluator. Can anyone help me? I prefer the pointcloud transformers because it gives a very good performance, (most of the source files contains up to 100 million points!).
x
y
z_2018_01
z_2018_02
JM_2018_01
JM_2018_02
Z_actual
x_value
y_value
-10,4
-10,2
201801
201802
10,2
x_value
y_value
-11,6
0
201802
11,6
x_value
y_value
-9,4
201801
0
9,4
x_value
y_value
-4,2
-4,1
201801
201802
4,1
x_value
y_value
-10,3
201801
0
10,3
Another issue is the possibility to do average calculations with the Pointcloudexpressionevaluator. For average calculations I need to ignore the 0 values in the first 3 z columns (see table below), at the moment I use this expression :
(@Component(z_2018_01)+ @Component(z_2018_02)+ @Component(z_2018_03))/3 that results in some cases in an incorrect average (see z_averge1 in the table below). Values in z_average2 represent the correct averages calculated without the ignored 0 values. Is there a way to do a correct calculation with the Pointcloudexpressionevaluator?
x
y
z_2018_01
z_2018_02
z_2018_03
z_average1
z_average2
x_value
Y_value
-10,2
-10,1
-9,9
-10,07
-10,07
x_value
Y_value
0
-11,5
-11,9
-7,80
-11,70
x_value
Y_value
-12,7
0
-12,9
-8,53
-12,80
x_value
Y_value
-17,4
-18,1
-17,2
-17,57
-17,57
x_value
Y_value
0
0
-6,9
-2,30
-6,90