• Which the release of FS2020 we see an explosition of activity on the forun and of course we are very happy to see this. But having all questions about FS2020 in one forum becomes a bit messy. So therefore we would like to ask you all to use the following guidelines when posting your questions:

    • Tag FS2020 specific questions with the MSFS2020 tag.
    • Questions about making 3D assets can be posted in the 3D asset design forum. Either post them in the subforum of the modelling tool you use or in the general forum if they are general.
    • Questions about aircraft design can be posted in the Aircraft design forum
    • Questions about airport design can be posted in the FS2020 airport design forum. Once airport development tools have been updated for FS2020 you can post tool speciifc questions in the subforums of those tools as well of course.
    • Questions about terrain design can be posted in the FS2020 terrain design forum.
    • Questions about SimConnect can be posted in the SimConnect forum.

    Any other question that is not specific to an aspect of development or tool can be posted in the General chat forum.

    By following these guidelines we make sure that the forums remain easy to read for everybody and also that the right people can find your post to answer it.

Filtering features

arno

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Better ways to filter out features in scenProc that are overlapping with others or that are close together have been requested for a while already and I have no implemented a new step called FilterFeatures that adds these possibilities.

With this new step you can for example remove all point features of trees that are close to a round or remove buildings that have bounding boxes that are overlapping with other buildings. Please check the manual for the details and examples of how to use this new step.

Some of this filtering could be done before by using the AddAttributeIfInside step, for example to add an extra attribute when a feature was inside another feature and then filter them out based on this attribute. But the new step will make this kind of filtering a lot more efficient.

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