AnchoredSnapper may also help by setting the tolerance to a very short distance (eg 1m or 10 cm).
Hi,
Another way to know which feature has changed is to extract the geometry of both data set after loading them with a "GeometryExtractor".The geometry is stored in an attribute "_geometry" by default.Then you can use a FeatureMerger in which you merge both data sets based on their "_geometry" attribute.You will then find the feature with a different geometry in the following output port: "NotMerged" and "Unreferenced".To get back the geometry, you can use a GeometryReplacer after the FeatureMerger.
See the attatchment for a visualization.
All the best,
Aurélien
It's difficult to know exactly what is happening from a screenshot.It might be - as Itay suggests - that the two datasets have differing coordinate precisions and fixing that will solve the issue.
Really it's best to filter the data down to two features that you think should match, but don't.
Then examine those features in detail.You could write their coordinates out to a CSV or text file, for example, where it is easier to visually inspect them.Or you could look at the list of coordinates in the FME Data Inspector.
The order of coordinates is important;so a feature with coordinates a,b,c is not the same as one with coordinates c,b,a - even if they do visually appear to be identical.
A quick way to show whether FME sees a feature differently is to use a CRCCalculator transformer.That will give a checksum type value for a geometry.If the values for two geometries are different, then FME is seeing something different in the data.If the values are the same - but the ChangeDetector or Matcher don't register a difference - then something is going wrong in FME.
I hope this helps.If you can isolate a couple of features and post them here then we could be able to investigate in a little more depth for you.
Hi,
As FME is very aware of spatial features, some pre-processing is usually needed before change detection.
So for example the use of the coordinaterounder on both inputs to bring them both to the same decimal precision.
Change detection remains a challenge and is not always as straight forward as it seems.