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Question

Identify the duplicate points within 30m buffer with the same attributes


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Hi, just learning FME.

I would like to know what transformers to use when I need the ff:

 

  1. Identify points that are near each other (points within 30m buffer)
  2. Identify the similar attributes of the points within that 30m buffer

 

The goal is to know the potential duplicate points based on XY and other attributes. Thank you!

3 replies

danilo_fme
Evangelist
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  • Evangelist
  • August 27, 2021

Hi @lyon​ 

 

The FME is fantastic.

Answer your questions:

 

1) The transformer NeighborFinder has a configuration called Maximum Distance that you can set what value that you want:

 

NeighborFinder 

2) About similar attributes: you can configure the same transformer ( NeighborFinder ) to do this operation . You select the attributes that you want - option GroupBy.

 

 

Thanks in Advance,

Danilo

 

 


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  • Author
  • August 28, 2021
danilo_fme wrote:

Hi @lyon​ 

 

The FME is fantastic.

Answer your questions:

 

1) The transformer NeighborFinder has a configuration called Maximum Distance that you can set what value that you want:

 

NeighborFinder 

2) About similar attributes: you can configure the same transformer ( NeighborFinder ) to do this operation . You select the attributes that you want - option GroupBy.

 

 

Thanks in Advance,

Danilo

 

 

Hello Danilo,

 

Thanks for your reply.

Follow up question is:

 

Maximum Distance is based on what measurement? (meters, kilometers, etc) How can I change the type of measurement?

 

 


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  • September 2, 2021
lyon wrote:

Hello Danilo,

 

Thanks for your reply.

Follow up question is:

 

Maximum Distance is based on what measurement? (meters, kilometers, etc) How can I change the type of measurement?

 

 

@lyon​ the distance is based on the current units of measure of your data, based on the coordinate system / projection you're using. If your data is in latlong, then you might need to reproject (Reprojector) to a projected coordinate system like UTM


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