Hello,
I have a point dataset, and the attributes within can be summarised as per below:
Point_IDArea_IDCategory1AAZ2AAZ3AAX4BBZ5BBX6BBX
I want to extract one point per Area_ID (I don't mid which), but it must assigned the the category attribute with the highest count within that Area_ID.
Therefore, form the table above for Area_ID 'A' I would want to extract points 1 or 2, and for AREA_ID 'B' points 5 or 6.
Any ideas?
Thanks,
RB
You can use a Sorter on Category and Group by on Area_ID, followed by a Sampler with Group by Area_ID with Sampling Rate 1 and Sampling Type First N Features. (If I understood your sorting preferences correctly.)
Thanks for your response @danullen. i'm not quite sure that would work for me. I should have stated that the category values are not unique to each Area_ID, so the expanded dataset scenario would be as follows:
Point_IDArea_IDCategory1AZZ2AZZ3AYY4BXX5BXX6BYY7CVV8CXX9CVV
I want to extract the following Point_IDs:
- 1 or 2
- 4 or 5
- 7 or 9
Thanks for your response @danullen. i'm not quite sure that would work for me. I should have stated that the category values are not unique to each Area_ID, so the expanded dataset scenario would be as follows:
Point_IDArea_IDCategory1AZZ2AZZ3AYY4BXX5BXX6BYY7CVV8CXX9CVV
I want to extract the following Point_IDs:
- 1 or 2
- 4 or 5
- 7 or 9
Then I think I understand what you meant. You want to select one of the Point_IDs for the Category with the highest number of occurances per Area_ID.
Then you just put a StatisticsCalculator in front of it all, Group by Area_ID and Category and analyze Category. That will give you a count that you can sort and sample.