Hi everyone, A simple question: I have 1 set of 2D location points A that I use as reference. I have another set of location points B generated by observations.
Is there any standard method/measure to estimate a kind of position accuracy error knowing that - A and B dont have the same cardinality of elements e.g. B could have more points than A? - a point in A should be associated to only one point in B. For the moment I created my own error measure using 3 estimations. for a given accuracy rate (<20 meters) I compute: - O: number of omissions (when there is no observation in B closed enough of a point in A) , - FP: number of false positive (when a B point has been observed but not closed to a A point - or already taken from another observation) - M: number of matching (when a B point is closed enought of a A point) and then I aggregate the result = M- (O+FP) to get an indicator.. I am pretty sure there are other more traditional ways to do that. Thanks in advance -NM + + To post a message to the list, send it to ai-geost...@jrc.ec.europa.eu + To unsubscribe, send email to majordomo@ jrc.ec.europa.eu with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
