Open adhamenaya opened 11 months ago
Hi, @adhamenaya. Unfortunately, there is no way to perform this. All observations should be taking into consideration at one time.
@jGaboardi thank you for your reply. Any recommendations to optimize the use of the network.snapobservations
for such large datasets?
I have a large dataset with 300,000 observations representing points located at various locations on a network. To improve efficiency, I grouped or clustered these points into about 300 spatial units then I used
network.snapobservations
to snap these new observations to the network.Now, I want to analyze the spatial patterns of these new spatial units using the
network.Moran
function. However, I still want to consider the original count of points (300,000) when performing the analysis.Is there a way to achieve this, i.e., snap the new spatial units to the network while preserving the information about the original 300,000 points, so I can use this information in the networkMoran function?