Surrey’s Vascular Plants and Charophytes: Analysis of the Number of
Records and Taxa per 1km Square (monad) by Date Class (Year range)
Skip to Records Analysis Spread Sheet
Skip to Taxa Analysis Spread Sheet
Surrey covers 2,102 monads, including 1,833 complete monads, 137 with 50%
to 99% coverage and 132 with 1% to 49% coverage.
The number of records and taxa of Vascular Plants and Charophytes
accumulated by the Surrey Botanical Society and stored in MapMate as at 1st
September 2011 stood at 285,037
An analysis of all these records revealed monads without records. A list of
monads and the percentage of each 1km square in Surrey was copied from the
Biological Records Centre and pasted into a MS Access table. This table was
then merged with the list of Surrey 1km Squares from MapMate.
Image of OS Map with a UK OS grid and Surrey VC boundary overlay developed by Robin Day
(see OS Grid with overlay for the whole of Britain including Northern Ireland)
The 1km Squares straddling the VC Boundary were checked against an OS Map
with a UK OS grid and a Surrey VC boundary overlay developed by Robin Day
from code to Bill Chadwick provided for SBS use, to produce a ‘ map’.
The majority of records (c.96%) are at a sufficient precision to enable analysis at
the monad (1km Square) level (see Appendix 1).
Image of Excel Spread Sheet showing percentage of each 1 km Square in Surrey. The darker the
green the less percentage cover.
The analyses for each Date Class and all years were carried out in MS Access
using queries developed for the purpose, with assistance from David Williams
(see Appendix 2 for records & Appendix 3 for taxa).
Date
Class
Year range
DC 0
Pre 1929
DC 1
No. of
records
No. of taxa
Cumulative no.
of taxa
673
323
323
1930-1969
7,267
1,024
1,097
DC 2
1970-1986
13,407
1,412
1,548
DC 3
1987-1999
16,997
2,058
2,150
DC 4
2000-2009
147,375
1,984
2,421
DC 5
2010-2019
46,305
1,426
2,473
Date Classes, Year range and numbers of records and taxa. N.B. The Date Classes are historical
and not intended to allow comparison between the number of records for each class.
The resulting Crosstab tables were first sorted in descending order and then
copied and pasted into an Excel spread sheet prior to reformatting the data to
produce a ‘map’ for each Date Class and for all records see Appendix 4).
Image of Excel Spread Sheet showing the number of Surrey records per 1km Square from 1666 to
2011.
Acknowledgements
I am extremely grateful to David Williams, Robin Day and Peter Wakeham for
invaluable assistance and Bill Chadwick who provided the code for SBS use
which Robin adapted
Brian Pitkin, 21 September 2011
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Skip to Taxa Analysis Spread Sheet
Appendix 1
Length of
OSGridRef
OSGridRef type
Number of
OSGridRefs
Blank
Hectads - 10km
4 Square
Tetrads - 2km
5 Square
0
Subtotals &
Totals
23
0.008
1959
0.687
8389
2.943
10371
Subtotal
Monads - 1km
Square
8 100m Square
10 10m Square
12 1m Square
6
Percentage of
Squares
12.0363
82.051
2.241
0.032
34308
233877
Subtotal
Totals
3.638
6388
93
274666
96.361
285037
100
Numbers of Surrey OSGridRefs per 1km Square
Appendix 2 - Queries to generate a table of the number of records per
1km Square.
Note: To run these queries you will first need to create a table of 1kSquareList by
downloading the County list from the Biological Records Centre. Queries must be run in
the order listed below. Text in bold is the name of a query and must match exactly
character for character. Copy and paste the text into a separate MS Access query.
Count records by 1kSquares for all years
SELECT DISTINCT [1kSquareList].[1kSquare], [1kSquareList].X,
[1kSquareList].Y, Count(Records.[_guk]) AS Totals, Year([Date]) AS Year
FROM (Records INNER JOIN Sites ON Records.[*Site] = Sites.[_guk]) INNER
JOIN 1kSquareList ON Sites.[_guk] = [1kSquareList].[_guk]
GROUP BY [1kSquareList].[1kSquare], [1kSquareList].X, [1kSquareList].Y,
Records.Date;
Count records per 1kSquare for year range
SELECT DISTINCT [Count records by 1kSquares for all years].[1kSquare],
[Count records by 1kSquares for all years].X, [Count records by 1kSquares for
all years].Y, Sum([Count records by 1kSquares for all years].Totals) AS Totals
INTO [Count records per 1kSquare for years selected - Table]
FROM [Count records by 1kSquares for all years]
WHERE ((([Count records by 1kSquares for all years].Year)>=[Start year] And
([Count records by 1kSquares for all years].Year)<=[End year]) AND (([Count
records by 1kSquares for all years].Y)>129 And ([Count records by 1kSquares
for all years].Y)<182) AND (([Count records by 1kSquares for all years].X)>479
And ([Count records by 1kSquares for all years].X)<545))
GROUP BY [Count records by 1kSquares for all years].[1kSquare], [Count
records by 1kSquares for all years].X, [Count records by 1kSquares for all
years].Y;
Note: The >479 and <545 (where the leading 4=SU and the leading 5=TQ in
the ‘maps’) and >129 and <182 (where the leading 1 is ignored in the ‘maps’)
are the absolute limits for Surrey and would need to be modified for other VC’s
to ensure that no erroneous MapMate records are included
Comparison of records
SELECT DISTINCT [All 1kSquares including those with no records].[1kSquare],
[All 1kSquares including those with no records].X, [All 1kSquares including those
with no records].Y, [All 1kSquares including those with no records].[Totals] AS
Totals INTO [Add these Surrey 1kSquares]
FROM [Count records per 1kSquare for years selected - Table] RIGHT JOIN [All
1kSquares including those with no records] ON [Count records per 1kSquare for
years selected - Table].[1kSquare] = [All 1kSquares including those with no
records].[1kSquare]
WHERE ((([Count records per 1kSquare for years selected - Table].[1kSquare])
Is Null) AND (([Count records per 1kSquare for years selected - Table].X) Is
Null) AND (([Count records per 1kSquare for years selected - Table].Y) Is Null)
AND (([Count records per 1kSquare for years selected - Table].Totals) Is Null));
Update - Add these Surrey 1kSquares
UPDATE [Add these Surrey 1kSquares] SET [Add these Surrey 1kSquares].Totals
= 0;
Append missing 1k Squares to Record Count
INSERT INTO [Count records per 1kSquare for years selected - Table] (
1kSquare, X, Y, Totals )
SELECT [Add these Surrey 1kSquares_1].[1kSquare], [Add these Surrey
1kSquares_1].X, [Add these Surrey 1kSquares_1].Y, [Add these Surrey
1kSquares_1].Totals
FROM [Add these Surrey 1kSquares] AS [Add these Surrey 1kSquares_1];
Count records per 1kSquare for years selected - Crosstab
TRANSFORM Sum([Count records per 1kSquare for years selected Table].Totals) AS [The Value]
SELECT [Count records per 1kSquare for years selected - Table].Y
FROM [Count records per 1kSquare for years selected - Table]
GROUP BY [Count records per 1kSquare for years selected - Table].Y
PIVOT [Count records per 1kSquare for years selected - Table].X;
SELECT DISTINCT [Count records by 1kSquares for all years].[1kSquare],
[Count records by 1kSquares for all years].X, [Count records by 1kSquares for
all years].Y, Sum([Count records by 1kSquares for all years].Totals) AS Totals
INTO [Count records per 1kSquare for years selected - Table]
FROM [Count records by 1kSquares for all years
WHERE ((([Count records by 1kSquares for all years].Year)>=[Start year] And
([Count records by 1kSquares for all years].Year)<=[End year]) AND (([Count
records by 1kSquares for all years].Y)>129 And ([Count records by 1kSquares
for all years].Y)<182) AND (([Count records by 1kSquares for all years].X)>479
And ([Count records by 1kSquares for all years].X)<545))
Appendix 3 - Queries to generate a table of the number of records per
1km Square.
Note: To run these queries you will first need to create a table of 1kSquareList by
downloading the County list from the Biological Records Centre. Queries must be run in
the order listed below. Text in bold is the name of a query and must match exactly
character for character. Copy and paste the text into a separate MS Access query.
Count taxa by 1kSquares for all years
SELECT DISTINCT [1kSquareList].[1kSquare], [1kSquareList].X,
[1kSquareList].Y, Taxa.Taxon, Year([Date]) AS Year
FROM Taxa INNER JOIN ((Sites INNER JOIN 1kSquareList ON Sites.[_guk] =
[1kSquareList].[_guk]) INNER JOIN Records ON Sites.[_guk] = Records.[*Site])
ON Taxa.[_guk] = Records.[*Taxon]
GROUP BY [1kSquareList].[1kSquare], [1kSquareList].X, [1kSquareList].Y,
Taxa.Taxon, Records.Date;
Count taxa per 1kSquare for range selected
SELECT DISTINCT [Count taxa by 1kSquares for all years].[1kSquare], [Count
taxa by 1kSquares for all years].X, [Count taxa by 1kSquares for all years].Y,
Count([Count taxa by 1kSquares for all years].Taxon) AS CountOfTaxon INTO
[Count taxa per 1kSquare for years selected - Table]
FROM [Count taxa by 1kSquares for all years]
WHERE ((([Count taxa by 1kSquares for all years].Year)>=[Start year] And
([Count taxa by 1kSquares for all years].Year)<=[End year]) AND (([Count taxa
by 1kSquares for all years].Y)>129 And ([Count taxa by 1kSquares for all
years].Y)<182) AND (([Count taxa by 1kSquares for all years].X)>479 And
([Count taxa by 1kSquares for all years].X)<545))
GROUP BY [Count taxa by 1kSquares for all years].[1kSquare], [Count taxa by
1kSquares for all years].X, [Count taxa by 1kSquares for all years].Y;
Comparison of taxa
SELECT DISTINCT [All 1kSquares including those with no records].[1kSquare],
[All 1kSquares including those with no records].X, [All 1kSquares including those
with no records].Y, [All 1kSquares including those with no records].Totals AS
Totals INTO [Add these Surrey 1kSquares]
FROM [Count taxa per 1kSquare for years selected - Table] RIGHT JOIN [All
1kSquares including those with no records] ON [Count taxa per 1kSquare for
years selected - Table].[1kSquare] = [All 1kSquares including those with no
records].[1kSquare]
WHERE ((([Count taxa per 1kSquare for years selected - Table].[1kSquare]) Is
Null) AND (([Count taxa per 1kSquare for years selected - Table].X) Is Null) AND
(([Count taxa per 1kSquare for years selected - Table].Y) Is Null) AND (([Count
taxa per 1kSquare for years selected - Table].CountOfTaxon) Is Null));
Update - Add these Surrey 1kSquares
UPDATE [Add these Surrey 1kSquares] SET [Add these Surrey 1kSquares].Totals
= 0;
Append missing 1k Squares to Taxa Count
INSERT INTO [Count taxa per 1kSquare for years selected - Table] ( 1kSquare,
X, Y, CountOfTaxon )
SELECT [Add these Surrey 1kSquares].[1kSquare], [Add these Surrey
1kSquares].X, [Add these Surrey 1kSquares].Y, [Add these Surrey
1kSquares].Totals
FROM [Add these Surrey 1kSquares]
GROUP BY [Add these Surrey 1kSquares].[1kSquare], [Add these Surrey
1kSquares].X, [Add these Surrey 1kSquares].Y, [Add these Surrey
1kSquares].Totals;
Count taxa per 1kSquare for years selected – Crosstab
TRANSFORM Sum([Count taxa per 1kSquare for years selected Table].CountOfTaxon) AS [The Value]
SELECT [Count taxa per 1kSquare for years selected - Table].Y
FROM [Count taxa per 1kSquare for years selected - Table]
GROUP BY [Count taxa per 1kSquare for years selected - Table].Y
PIVOT [Count taxa per 1kSquare for years selected - Table].X;