errors are faults produced due to carelessness of observer
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errors are faults produced due to carelessness of observerinto 3 broad categories. That is gross error mistakes and systematic error and random
error. Now as I told you that in abundant in abundant mistakes; that means, some errors
are coming due to undesirable fill condition confusion and carelessness of the observer.
So, we should avoid these conditions to reduce or to avoid gross errors. And these gross
errors will be always there with the observation. So, we need to identify those errors and
then subsequently we need to remove those error, we need to reduce that error we need
to correct those errors and this is done during the preprocessing operation.
(Refer Slide Time: 03:07)
Now, apart from that gross error. So, gross error. So, this is the in advant in abundant
mistakes then systematic error. So, from the name itself it can understand that the errors
which are related to the system; that means, the GPS system here in our case for the user
it is the whole of GPS satellite segment than the signal it is coming through the
atmosphere and the GPS receiver.
Now, this systematic errors actually follow certain physical laws which we should look
into and we can model those errors and then we can remove it. So, systematic errors are
errors which can be model and removed. And these errors actually vary from observation
to observation, for each observation the same type of error may be different. And the
third one is called random error. From the name itself we can understand that random
errors are very random in nature; that means, no one can predict how these errors will
come and what will be the nature of the errors. So, again random error can be avoid
error. Now as I told you that in abundant in abundant mistakes; that means, some errors
are coming due to undesirable fill condition confusion and carelessness of the observer.
So, we should avoid these conditions to reduce or to avoid gross errors. And these gross
errors will be always there with the observation. So, we need to identify those errors and
then subsequently we need to remove those error, we need to reduce that error we need
to correct those errors and this is done during the preprocessing operation.
(Refer Slide Time: 03:07)
Now, apart from that gross error. So, gross error. So, this is the in advant in abundant
mistakes then systematic error. So, from the name itself it can understand that the errors
which are related to the system; that means, the GPS system here in our case for the user
it is the whole of GPS satellite segment than the signal it is coming through the
atmosphere and the GPS receiver.
Now, this systematic errors actually follow certain physical laws which we should look
into and we can model those errors and then we can remove it. So, systematic errors are
errors which can be model and removed. And these errors actually vary from observation
to observation, for each observation the same type of error may be different. And the
third one is called random error. From the name itself we can understand that random
errors are very random in nature; that means, no one can predict how these errors will
come and what will be the nature of the errors. So, again random error can be avoid
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This is because,
If data is showing error as result this means that data is incomplete, so it can't be processed.
So how you can say that observer who is observing it have fault regarding this.
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