1. A computer implemented method for improving position beacon tracking using spatial probabilities, the computer implemented method comprising: a computer receiving a copy of a central probability file from a remote data processing system to form a local probability file; the computer receiving a current position beacon identity; the computer checking the local probability file to find an entry for a previously received position beacon identity; the computer, responsive to finding the entry for the previously received position beacon identity, finding a sub-entry for the current position beacon identity in a previously received position beacon identity; the computer, responsive to finding the sub-entry, determining a number of occurrences for the current position beacon identity; the computer comparing the number of occurrences for the current position beacon identity to a maximum number of occurrences for the previously received position beacon identity; the computer, responsive to determining that the number of occurrences of the current position beacon identity is within a range of a maximum number of occurrences for the previously received position beacon identity, determining that the currently received position beacon identity is valid; the computer, responsive to determining that the currently received position beacon identity is valid, updating the local probability file to form an updated local probability file; the computer receiving a new copy of the central probability file from the remote data processing system; the computer combining the updated local probability file with the new copy of the central probability file to form an updated central probability file; and the computer transmitting the updated central probability file to the remote data processing system.