Hello!
I am running a spatial regression over time for my research, and I'm using ArcGIS Pro to generate the spatial weights matrix. My data is over 20 years, gathered every 2 years (1999, 2001, ... , 2019) and analyzes the relationship of sales from food stores (food stores are represented as points on the map, gathered at discrete moments in time). I cannot assume that the location of a future retailer has an influence on a past one (i.e. the location of retailer x in 2017 has no influence on retailer y in 2001 (even if their locations at collection are close to each other).
I am using the Space Time Window for the Conceptualization of Spatial Relationships parameter. To be safe, I just select the option so that their are positive weights associated only between neighboring retailers gathered in the same time period (ex. only 1999 shop points can have a relationship with each other). However, there may be some influence of a past retailer location on a later one (within a reasonable time period, such as a location from 2001 could have an influence on a location in 2003).
It appears there is no option to account for this potential unidirectional ("yesterday can exert influence on today’s pattern, but the inverse may not be possible"). Does anyone have a suggestion for this?