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Gravestone Weathering Data

Clacton
Oxford
Maldon
Inland Rural
Wolverhampton
Swansea
Birmingham (Jewelry Quarter)
Birmingham (Lodge Hill)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
Age
Depth (mm)
84
0.63
107
1.025
87
0.71
109
0.515
86
0.697
95
4.239
70
0.78875
96
0.62083
69
0.445
98
1.2
112
0.625
116
0.28
91
0.683
60
1.894
115
1.98714
97
0.83667
76
0.475
97
1.205
108
0.72
70
0.255
65
0.73
94
3.42
127
2.12875
67
0.52417
75
0.505
104
1.33
100
0.65
45
0.435
75
0.396
72
1.728
104
1.64
98
1.0825
65
0.53
104
1.46
96
0.72
110
0.365
40
0.27
91
3.02
74
1.775
98
0.6925
60
0.34
97
0.495
99
0.645
86
0.405
48
0.327
44
0.531
100
2.75875
93
0.59917
45
0.295
97
1.47
57
0.3
105
0.43
43
0.333
32
0.275
64
0.89375
84
0.5975
51
0.25
102
1.35
47
0.28
110
0.535
63
0.433
81
3.37
125
3.02625
97
1.085
92
0.735
95
0.86
93
0.5
108
0.445
67
0.446
75
1.816
117
2.7075
96
0.70833
92
0.72
87
0.355
102
0.65
113
0.45
107
0.632
86
2.951
71
1.63625
85
0.56667
94
0.665
87
1.005
94
0.58
58
0.115
107
0.604
71
1.789
117
2.705
95
0.74333
91
0.675
92
0.78
87
0.605
69
0.265
102
0.618
98
1.65
79
1.28125
90
0.72417
92
0.725
88
0.96
97
0.695
105
0.475
104
0.574
54
0.671
132
1.4675
94
0.77
93
0.695
95
0.745
102
0.64
88
0.44
93
0.57
92
2.269
118
2.96125
92
0.7425
93
0.68
96
0.74
85
0.6
88
0.375
55
0.335
60
1.016
77
2.7875
77
0.66917
92
0.655
92
0.775
80
0.5
72
0.195
99
3.985
62
0.71925
94
0.60083
90
0.66
93
0.395
92
0.575
110
0.425
94
3.373
60
1.25125
79
0.47417
92
0.725
93
0.86
78
0.535
116
0.45
69
1.661
65
0.3625
89
0.765
88
0.985
84
0.585
78
0.335
101
4.544
97
0.74833
88
0.63
90
0.63
62
0.365
70
0.275
88
3.684
85
0.63667
88
0.595
88
0.995
108
0.775
44
0.07
108
3.086
92
0.7975
90
0.67
92
1.125
70
0.39
74
0.25
24
0.285
78
0.68
79
0.635
91
0.995
91
0.59
70
0.04
83
1.771
95
0.66083
80
0.755
88
0.95
84
0.64
110
0.345
40
0.475
86
0.6325
86
0.735
95
1.04
88
0.515
83
0.41
79
2.808
59
0.43
79
0.5
90
0.993
82
0.605
72
0.165
49
1.69
43
0.32917
82
0.5
84
0.95
66
0.545
49
0.07
31
0.585
91
0.6125
78
0.56
86
1.035
92
0.695
129
0.58
67
1.635
82
0.5875
86
0.535
82
0.91
89
0.71
71
0.285
40
0.436
71
0.49833
82
0.545
82
0.985
79
0.53
58
0.15
66
2.004
95
0.47083
78
0.53
78
0.576
71
0.345
58
0.115
88
3.166
64
0.385
82
0.495
81
0.64
68
0.385
63
0.1
73
2.225
94
0.87833
80
0.755
84
0.775
72
0.555
67
0.29
43
0.506
81
0.61
82
0.575
79
0.565
68
0.35
62
0.095
99
3.025
83
0.5775
67
0.58
80
0.51
59
0.305
56
0.115
79
0.59667
67
0.49
83
0.635
98
0.595
54
0.095
52
0.3475
73
0.365
86
0.95
112
0.76
53
0.095
88
0.8775
70
0.41
85
0.955
100
0.64
61
0.13
88
0.6325
67
0.455
85
0.64
84
0.655
78
0.36
73
0.5125
67
0.33
82
0.855
85
0.59
68
0.06
47
0.29833
67
0.495
82
0.91
83
0.685
67
0.195
67
0.50667
67
0.51
83
1.035
82
0.64
57
0.165
48
0.7
67
0.36
80
0.64
82
0.665
73
0.13
38
0.4375
67
0.5
77
0.57
82
0.495
90
0.38
51
0.36333
67
0.455
79
0.985
91
0.695
61
0.36
49
0.37083
67
0.47
78
0.845
96
0.7
73
0.26
49
0.44667
69
0.495
72
0.475
95
0.575
97
0.32
30
0.17833
69
0.5
72
0.505
84
0.705
46
0.04
49
0.6075
68
0.425
74
0.453
82
0.705
46
0.06
84
0.81083
62
0.405
73
0.46
79
0.453
46
0.04
86
1.03333
62
0.415
69
0.6
79
0.205
49
0.08
80
1.12333
62
0.095
67
0.505
78
0.41
69
0.2
67
0.935
65
0.34
69
0.58
78
0.405
70
0.32
92
0.78083
59
0.31
70
0.43
84
0.585
73
0.35
72
0.57583
59
0.355
72
0.62
84
0.55
71
0.3
90
0.76917
63
0.31
71
0.495
82
0.69
66
0.14
90
1.00167
60
0.4
72
0.485
78
0.46
60
0.1
86
1.00333
63
0.38
76
0.575
67
0.395
59
0.155
80
0.89583
65
0.455
73
0.51
68
0.41
108
0.56
71
0.475
65
0.44
69
0.465
68
0.44
65
0.14
59
0.285
73
0.505
71
0.455
32
0.14
63
0.34
74
0.455
76
0.55
105
0.41
55
0.29
69
0.56
74
0.425
68
0.075
47
0.275
61
0.45
62
0.405
110
0.395
50
0.28
65
0.475
66
0.34
134
0.585
56
0.305
58
0.54
57
0.27
90
0.405
52
0.265
65
0.47
58
0.295
46
0.05
50
0.265
66
0.52
58
0.305
58
0.12
47
0.26
65
0.55
66
0.395
74
0.29
56
0.29
64
0.555
62
0.365
74
0.355
48
0.245
66
0.6
66
0.38
92
0.145
52
0.235
66
0.56
65
0.365
62
0.135
54
0.25
64
0.345
62
0.4
58
0.14
52
0.26
63
0.47
58
0.295
114
0.45
54
0.25
59
0.495
62
0.4
100
0.42
51
0.245
57
0.43
65
0.345
114
0.465
54
0.24
63
0.365
57
0.275
59
0.12
53
0.275
61
0.45
58
0.265
68
0.145
64
0.355
65
0.52
57
0.285
69
0.26
76
0.505
59
0.44
46
0.215
63
0.1
84
0.78
59
0.415
56
0.265
74
0.295
90
0.66
51
0.285
53
0.22
72
0.195
55
0.305
53
0.245
60
0.115
55
0.37
52
0.215
97
0.425
46
0.165
56
0.2
46
0.09
49
0.235
54
0.255
69
0.29
47
0.515
56
0.29
81
0.375
51
0.215
46
0.24
79
0.335
49
0.305
54
0.245
66
0.265
55
0.375
53
0.23
73
0.135
46
0.245
56
0.265
67
0.3
53
0.43
56
0.295
67
0.195
55
0.42
44
0.2
68
0.14
56
0.375
50
0.21
45
0.1
54
0.195
51
0.2
62
0.13
56
0.235
49
0.225
55
0.11
49
0.175
52
0.255
59
0.125
52
0.19
79
0.505
67
0.2
49
0.19
68
0.4
80
0.36
46
0.155
84
0.565
62
0.135

Papers on gravestone weathering rarely have the space to provide full details of the data used. This page contains a set of gravestone data collected by the author. This can be used for comparison with other studies undertaken across the country. It is hoped that other studies will contribute to this dataset to try to build up as extensive a spatial and temporal coverage as possible. Some illustration of possible methods of analysis are also present. These include graphical analysis and some suggestions for statistical analysis of the data. Lastly, a table of weathering rates derived from pervious gravestone studies is provided for comparison with any weathering projects undertaken.

  • Data from graveyards
  • Methods of analysis
  • Table of weathering rate from gravestones

All the above data was collected using the lead lettering index method between the summer of 1993 and the summer of 1998. All or part of this data has been used in the papers by Cooke, Inkpen and Wiggs (1995), Inkpen (1998) and Inkpen and Jackson (2000) (see gravestone bibliography for full details).


Possible forms of analysis

One of the key types of analysis carried out on the above type of data is linear regression. Following the idea that marble gravestones would weather mainly by dissolution, it is thought that weathering loss would be linear. Most studies assume that differences in the linear regression equations between sites represent differences in the influence of different pollution histories. Inkpen (1998) and Inkpen and Jackson (2000) point out that if loss is linear over time it implies that changes in atmospheric pollution may not have influenced weathering loss. If changes in atmospheric pollution had then it might be expected that weathering loss say 100 years ago would be greater than 50 years ago. This would be reflected in a curvilinear relationship of weathering loss over time. Such a relationship is rarely observed. Click on the appropriate location to view a linear regression of that site.

These three examples illustrate how weathering rates can vary between locations which are thought to have different pollution histories. Swansea has the highest weathering rate (the gradient of the regression line) at 47 microns per year, whilst Oxford is much lower at 16 microns a year. Both these weathering rates are higher than that found in the inland rural sites at 6 microns a year (this site represents the amalgamated data from four villages, Cheddington, Ivinghoe, Mentmore and Pitstone, all located to the east of Oxford). By using analysis of covariance all the regression equations derived for the sites above can be compared at the same time (see Inkpen and Jackson, 2000, for a fuller discussion of the various assumptions, pitfalls and interpretation of such an analysis).


Weathering Rates From Previous Studies

As an aid for comparison below is a table of weathering rates from other weathering studies studies.

Location
Stone
Method
Rate (microns/year)
Reference
London (Victoria) Portland Stone Tablets, 2 year exposure
15.8
Jaynes (1985)
Gravesend Portland Stone Tablets, 2 year exposure
7.3
Jaynes (1985)
Wormdale (rural) Portland Stone Tablets, 2 year exposure
5.8
Jaynes (1985)
Avonmouth Portland Stone Tablets, 2 year exposure
19.3

Inkpen (1989)

Rotherham Portland Stone Tablets, 2 year exposure
7.6
Inkpen (1989)
Lincoln Portland Stone Tablets, 2 year exposure
8.2
Inkpen (1989)
Harthill (rural) Portland Stone Tablets, 2 year exposure
5.5
Inkpen (1989)
Glentham (rural) Portland Stone Tablets, 2 year exposure
6.6
Inkpen (1989)
Meadowfield (Co. Durham) Marble Lead lettering index
10
Attewell and Taylor (1988)
Quebec Village (Co. Durham) (rural) Marble Lead lettering index
2
Attewell and Taylor (1988)
Jarrow (Co. Durham) Marble Lead lettering index
9.5
Attewell and Taylor (1988)
Philadelphia, centre Marble Lead lettering index
35
Feddema and Meierding (1987)
Philadelphia, 20km from centre (rural) Marble Lead lettering index
5
Feddema and Meierding (1987)
Liege, Belgium, industrial Marble Height difference, siliceous veins and marble
3.65
Kupper (1975)
Liege, Belgium, urban Marble Height difference, siliceous veins and marble
2.39
Kupper (1975)
Liege, Belgium, rural Marble Height difference, siliceous veins and marble
1.2
Kupper (1975)
Wollongong, eastern Australia (industrial) Marble Lead lettering index
2.5
Dragovich (1986)
Sydney, Australia Marble Lead lettering index
1.7
Dragovich (1986)

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Page last updated: 07/03/01

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