Dear all,

I have a large dataset of global climate data, sourced from copious
meteorological stations throughout the world. However, due to equipment
failure (etc etc), the dataset is not entirely complete. I have a macro
which will interpolate parameter values where there is a value either
side of a blank cell (ie. a linear interpolation based on the
surrounding values), yet this is unable to be performed on cells at the
start or end of a time series (ie. the value for the first or last cell
of a particular station).

Just to clarify, a simplfied example is as follows:

Station 1: A = GAP (=10)
Station 1: B = 15
Station 1: C = 20
Station 1: D = 25
Station 1: E = 30
Station 1: F = 35
Station 1: G = GAP (=40)
Station 2: A = GAP (=4)
Station 2: B = 5
Station 2: C = 6
Station 2: D = 7
Station 2: E = 8
Station 2: F = 9
Station 2: G = GAP (=10)

As shown above, for the inter-station gap between station 1 and 2, the
values cannot be linearly interpolated based simply on the values
surrounding the gap. I'm not a statistical/mathamatical expert, but I
would guess that some form of regression formula could be used to fill
the beginning and end values, based on the trend of the existing data
for each individual station?

Is there a way of designing (a macro in Visual Basic?) to automate
this
procedure in Excel 2002? - as doing it manually would be unfeasible due
to the nature of the dataset size. Incidently, data which requires
interpolation is in columns F to M (inclusive), and is represented as a

blank cell; station reference is in column A in my dataset. Just a
couple of other bits of information: extrapolation is required
vertically down the columns, and not between rows. The time-step is
consistant in all cases, and is on a yearly basis. If possible, would
it be feasible to include a line (in a macro, say) that states that the
operation should only be performed on blank cells at the beginning and
end of the station data series (and not for any blanks in between, so
as not to risk the filling of unintended gaps which should ideally be
tackled by the interpolation macro).

Thanks very much for your help and time - if you have any questions,
please don't be afraid to get back in touch.

Thanks again,
Steve M


--
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------------------------------------------------------------------------
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Check out:

TREND
Show All
Hide All
Returns values along a linear trend. Fits a straight line (using the
method of least squares) to the arrays known_y's and known_x's. Returns the
y-values along that line for the array of new_x's that you specify.

Syntax

TREND(known_y's,known_x's,new_x's,const)



--
|
+-- Julian
|


"smurray444" wrote
in message ...

Dear all,

I have a large dataset of global climate data, sourced from copious
meteorological stations throughout the world. However, due to equipment
failure (etc etc), the dataset is not entirely complete. I have a macro
which will interpolate parameter values where there is a value either
side of a blank cell (ie. a linear interpolation based on the
surrounding values), yet this is unable to be performed on cells at the
start or end of a time series (ie. the value for the first or last cell
of a particular station).

Just to clarify, a simplfied example is as follows:

Station 1: A = GAP (=10)
Station 1: B = 15
Station 1: C = 20
Station 1: D = 25
Station 1: E = 30
Station 1: F = 35
Station 1: G = GAP (=40)
Station 2: A = GAP (=4)
Station 2: B = 5
Station 2: C = 6
Station 2: D = 7
Station 2: E = 8
Station 2: F = 9
Station 2: G = GAP (=10)

As shown above, for the inter-station gap between station 1 and 2, the
values cannot be linearly interpolated based simply on the values
surrounding the gap. I'm not a statistical/mathamatical expert, but I
would guess that some form of regression formula could be used to fill
the beginning and end values, based on the trend of the existing data
for each individual station?

Is there a way of designing (a macro in Visual Basic?) to automate
this
procedure in Excel 2002? - as doing it manually would be unfeasible due
to the nature of the dataset size. Incidently, data which requires
interpolation is in columns F to M (inclusive), and is represented as a

blank cell; station reference is in column A in my dataset. Just a
couple of other bits of information: extrapolation is required
vertically down the columns, and not between rows. The time-step is
consistant in all cases, and is on a yearly basis. If possible, would
it be feasible to include a line (in a macro, say) that states that the
operation should only be performed on blank cells at the beginning and
end of the station data series (and not for any blanks in between, so
as not to risk the filling of unintended gaps which should ideally be
tackled by the interpolation macro).

Thanks very much for your help and time - if you have any questions,
please don't be afraid to get back in touch.

Thanks again,
Steve M


--
smurray444
------------------------------------------------------------------------
smurray444's Profile:
http://www.excelforum.com/member.php...o&userid=28956
View this thread: http://www.excelforum.com/showthread...hreadid=506070

Thanks for your reply - I'm assuming that the
"TREND(known_y's,known_x's,new_x's,const)" line is a formula to be
copied down the column. However, I'm finding it difficult to implement
successfully, and thus I believe a Visual Basic macro would (hopefully)
do the trick.

Does anyone have any suggested macros designed to tackle this?

Thanks again,
Steve


Julian Wrote:
Check out:

TREND
Show All
Hide All
Returns values along a linear trend. Fits a straight line (using the
method of least squares) to the arrays known_y's and known_x's. Returns
the
y-values along that line for the array of new_x's that you specify.

Syntax

TREND(known_y's,known_x's,new_x's,const)



--
|
+-- Julian
|


--
smurray444
------------------------------------------------------------------------
smurray444's Profile: http://www.excelforum.com/member.php...o&userid=28956
View this thread: http://www.excelforum.com/showthread...hreadid=506070

A single estimate ("imputation") of each missing value may simplify the
analysis, if all you are interested in is the equation coefficients.
However, your approach will invalidate any tests of the model or estimates of
its precision, since the analysis will be carried out under the assumption
that you have more data (and more critical data at the ends) than you really
do.

Better approaches would include multiple imputation
http://www.stat.psu.edu/~jls/mifaq.html
(or any of a number of sites suggested by a Google search) or some kind of
maximum likelihood analysis that takes account of the missing values.

Do you have access to a statistician to help guide you through this
literature?

Jerry

"smurray444" wrote:


Dear all,

I have a large dataset of global climate data, sourced from copious
meteorological stations throughout the world. However, due to equipment
failure (etc etc), the dataset is not entirely complete. I have a macro
which will interpolate parameter values where there is a value either
side of a blank cell (ie. a linear interpolation based on the
surrounding values), yet this is unable to be performed on cells at the
start or end of a time series (ie. the value for the first or last cell
of a particular station).

Just to clarify, a simplfied example is as follows:

Station 1: A = GAP (=10)
Station 1: B = 15
Station 1: C = 20
Station 1: D = 25
Station 1: E = 30
Station 1: F = 35
Station 1: G = GAP (=40)
Station 2: A = GAP (=4)
Station 2: B = 5
Station 2: C = 6
Station 2: D = 7
Station 2: E = 8
Station 2: F = 9
Station 2: G = GAP (=10)

As shown above, for the inter-station gap between station 1 and 2, the
values cannot be linearly interpolated based simply on the values
surrounding the gap. I'm not a statistical/mathamatical expert, but I
would guess that some form of regression formula could be used to fill
the beginning and end values, based on the trend of the existing data
for each individual station?

Is there a way of designing (a macro in Visual Basic?) to automate
this
procedure in Excel 2002? - as doing it manually would be unfeasible due
to the nature of the dataset size. Incidently, data which requires
interpolation is in columns F to M (inclusive), and is represented as a

blank cell; station reference is in column A in my dataset. Just a
couple of other bits of information: extrapolation is required
vertically down the columns, and not between rows. The time-step is
consistant in all cases, and is on a yearly basis. If possible, would
it be feasible to include a line (in a macro, say) that states that the
operation should only be performed on blank cells at the beginning and
end of the station data series (and not for any blanks in between, so
as not to risk the filling of unintended gaps which should ideally be
tackled by the interpolation macro).

Thanks very much for your help and time - if you have any questions,
please don't be afraid to get back in touch.

Thanks again,
Steve M


--
smurray444
------------------------------------------------------------------------
smurray444's Profile: http://www.excelforum.com/member.php...o&userid=28956
View this thread: http://www.excelforum.com/showthread...hreadid=506070

Thanks for your reply - unfortunately I do not have access to someone to
guide me through the statistical literature. Advanced statistcal
techniques isn't my strongest point by a long way - I was hoping that
the solution would be a lot simpler then the suggested multiple
imputation... ideally more along the lines of fitting a linear trend to
the existing data in order to estimate (via extrapolation) any gaps at
the beginning and/or end of a sequence.

Would anyone be able to design a VB macro tailored to the example
described in my original post?

Thanks again,
Steve


Jerry W. Lewis Wrote:
A single estimate ("imputation") of each missing value may simplify the
analysis, if all you are interested in is the equation coefficients.
However, your approach will invalidate any tests of the model or
estimates of
its precision, since the analysis will be carried out under the
assumption
that you have more data (and more critical data at the ends) than you
really
do.

Better approaches would include multiple imputation
http://www.stat.psu.edu/~jls/mifaq.html
(or any of a number of sites suggested by a Google search) or some kind
of
maximum likelihood analysis that takes account of the missing values.

Do you have access to a statistician to help guide you through this
literature?

Jerry


--
smurray444
------------------------------------------------------------------------
smurray444's Profile: http://www.excelforum.com/member.php...o&userid=28956
View this thread: http://www.excelforum.com/showthread...hreadid=506070