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The example I am showing is a VERY simplified version of my dataset which actually represents 100's of points. I have point A representing a building (centroid of the building polygon), but no other relative attribute info. Point B contains the address attribute information for that building.

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Looking at the simplified table info, there isn't anything relatable between the two layers, other than they are fairly close to each other. Is there a spatial query I can create that would join these two tables, maybe somehow based on the X coordinates being with a few hundreds in distance from each other or maybe create a buffer in GIS? I don't really know much about creating SQL queries, so honestly I really don't know where to start.

enter image description here

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    You stated that the points were in the polygons. Surely that would qualify as a Within relationship. What have you tried? Where are you stuck? Please Edit the Question.
    – Vince
    Commented Dec 10, 2023 at 3:58
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    Need more information, does every point have a relation? If so you could join by nearest
    – ferus89
    Commented Dec 10, 2023 at 12:23

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With a few hints from the comments, here is what I did to solve the task: enter image description here

Starting with the two original layers: (1) Buildings = polygons, which have no other project related data, but do have osm_id. (2) Addresses, which hold relivant project data, but are in point format enter image description here

From the Processing Tools, I used Join attributes by nearest and used the 2 layers above for the 2 required inputs. This created a new layer named 'Joined layer'

This gave me all the attribute data, but in point form on the map, so I did a join for the Building (polygon) layer to the newly created 'Joined layer', using the osm_id attribute for each layer as a primary key enter image description here

Which resulted in the original Buildings, shown as polygons, now having address information associated with them

enter image description here enter image description here

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