I have a dataset of polygons representing neighborhoods with FSI (Floor-Space Index) values (among others). I want to consider for each neighborhood (target) the surrounding neighborhoods (features), in this case, based on a 450m radius from my feature. I want to score a neighborhood based on it's FSI and based on the score of the surrounding FSI's to in the end say something about an access level to facilities. Score of target would be something like
FSI target + 0.35 * FSI neighbors
However, this seems like quite a simple process to do for 1 feature, but I want to apply it to all my features.
Done so far
I have calculated already the significant features using ArcGIS Pro's Hot Spot Analysis (Getis-Ord Gi)* with a fixed radius.
Possible Software QGIS with GRASS, ArcGIS Pro basic license
In the future I would like to vary the chosen conceptualization of Spatial Relationship (= what does it mean to be a neighbor?) as I will use this approach also on other variables that have different underlaying mechanics e.g. a road network.
Build a function that takes 1 feature, use summary statistics / select by location and loop this process for each feature in my dataset.
Is there already some algorithm in QGIS / ArcGIS or a plug-in that does such a job? Or can you recommend another approach?