Difference between revisions of "MarineLives"

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<div style="font-famil:Garamond; font-size: normal;">'''The size of our dataset for the analysis of ship age is one hundred and fifteen; of which thirteen datapoints simply state "new" or "old"; a further twenty-four datapoints are minimum ages, with the possibility that the ships were older; and seventy-eight datapoints give ship age accurate to the year. For these latter seventy-nine datapoints we have ship burthen data in tonnage for thirty-seven of them, which we display below in graphical form'''</div>
 
<div style="font-famil:Garamond; font-size: normal;">'''The size of our dataset for the analysis of ship age is one hundred and fifteen; of which thirteen datapoints simply state "new" or "old"; a further twenty-four datapoints are minimum ages, with the possibility that the ships were older; and seventy-eight datapoints give ship age accurate to the year. For these latter seventy-nine datapoints we have ship burthen data in tonnage for thirty-seven of them, which we display below in graphical form'''</div>
The average age of ships for which we have age and tonnage data is 6.1 years (n=37), whereas the average age of ships for which we have age data accurate to the year for which we have no tonnage data is 7.1 years (n=41). We also have ship age and estimated tonnage data (based on an assumption of no dead freight) for a further nine ships, with an average age of ships pf XX (n=9).
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The average age of ships for which we have age and tonnage data is 6.1 years (n=37), whereas the average age of ships for which we have age data accurate to the year for which we have no tonnage data is 7.1 years (n=41).
[[File:Ship Age 10072017.JPG|500px|thumbnail|left|]]
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[[File:Ship Age 10072017.JPG|600px|thumbnail|left|]]
  
 
Dr Ian Friel has shared with us [https://twitter.com/DrIanFriel/status/884360083634892800 a summary of data from his unpublished survey of High Court of Admiralty documents from the 1580s]. His data are for a period forty to eighty years earlier than our own High Court of Admiralty data. Ian's survey found ages for thirty-nine ships, with an average age of nearly fifteen years and twenty-nine of them of ten years or more in age.
 
Dr Ian Friel has shared with us [https://twitter.com/DrIanFriel/status/884360083634892800 a summary of data from his unpublished survey of High Court of Admiralty documents from the 1580s]. His data are for a period forty to eighty years earlier than our own High Court of Admiralty data. Ian's survey found ages for thirty-nine ships, with an average age of nearly fifteen years and twenty-nine of them of ten years or more in age.
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The average crew size for the larger dataset is 47.3, including six exceptionally manned men of war with 275 or more men per ship (n = 172). The average crew size for the smaller dataset, where we have crew number and ship tonnage is 36.5 (n=116).
 
The average crew size for the larger dataset is 47.3, including six exceptionally manned men of war with 275 or more men per ship (n = 172). The average crew size for the smaller dataset, where we have crew number and ship tonnage is 36.5 (n=116).
  
[[File:Tons Ship Burthen Per Crew Member 09072017.JPG|500px|thumbnail|left|]]
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[[File:Tons Ship Burthen Per Crew Member 09072017.JPG|600px|thumbnail|left|]]
  
 
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Revision as of 12:37, July 10, 2017

Summer challenge, 2017: How to make money in C17th commercial shipping?


This summer the MarineLives project team is looking at the drivers of profit and loss in C17th commercial shipping. We will publish as we go and welcome comments, contradiction, and offers of help and data.


Early results from our work

How old were the ships?
The size of our dataset for the analysis of ship age is one hundred and fifteen; of which thirteen datapoints simply state "new" or "old"; a further twenty-four datapoints are minimum ages, with the possibility that the ships were older; and seventy-eight datapoints give ship age accurate to the year. For these latter seventy-nine datapoints we have ship burthen data in tonnage for thirty-seven of them, which we display below in graphical form

The average age of ships for which we have age and tonnage data is 6.1 years (n=37), whereas the average age of ships for which we have age data accurate to the year for which we have no tonnage data is 7.1 years (n=41).

Ship Age 10072017.JPG

Dr Ian Friel has shared with us a summary of data from his unpublished survey of High Court of Admiralty documents from the 1580s. His data are for a period forty to eighty years earlier than our own High Court of Admiralty data. Ian's survey found ages for thirty-nine ships, with an average age of nearly fifteen years and twenty-nine of them of ten years or more in age.

Comparison of textual and numerical data for 1630-1670, with the bulk of the data from the 1650s, suggest Admiralty Court witnesses regarded ships aged between zero and five years as "new" and ships of fourteen years and above as "old".

How many tons of shipping could one crew member support?
The size of our dataset for the analysis of tons of ship burthen per crew member is one hundred and sixteen. We have crew size data for one hundred and seventy-two ships, but lack ship burthen data in tons for fifty-six of these.

The average crew size for the larger dataset is 47.3, including six exceptionally manned men of war with 275 or more men per ship (n = 172). The average crew size for the smaller dataset, where we have crew number and ship tonnage is 36.5 (n=116).

Tons Ship Burthen Per Crew Member 09072017.JPG


Our volunteers


MarineLives is a collaborative volunteer driven project. The project started as a spinoff from a National Archives hackathon in early 2012. We are dedicated to the collaborative transcription, linkage and enrichment of primary manuscripts from the High Court of Admiralty, 1650-1669 (with some excursions into data from the 1630s and 1640s).

Currently, we have just over 10,000 images available (29 GB) and 11,400 pages of full text transcriptions on the MarineLives wiki.

Please contact us if you would like to learn more about this summer's project and how you can help, or if you would more generally like to learn about the work of MarineLives volunteers.

Our volunteers
Our volunteers make the MarineLives project special. Do please contact us if you would like to discuss volunteering, or if you have ideas to improve our wiki.

We would like to recognise and thank all those who have contributed to our project (in alphabetical order), whether as volunteer transcribers, annotators, commentators, advisors, interviewees, or PhD Forum participants.



Dr Aquiles Alencar-Brayner
Dr Roberta Anderson
Deborah Ashby
Rachel Bates
Rowan Beentje
Dr Richard Blakemore
Lior Blum
Katie Broke
Dr James Brown
Dr Andy Burn
Elio Calcagno
Michelle María Early Capistrán
Rachel Carter
Giovanni Colavizza
Dr Justin Colson
Thierry Daunois
Dr John Davies
Thomas Davies
Jonathan Dent
Melvyn Dresner
Dr Stuart Dunn
Professor Kai Eckert
Bob Egan
Dr Charlene Eska
Louise Falcini
Emilie-Jane Farrimond
Dr Janet Few
Sara Fox
Dr Ian Friel
Dr Perry Gauci
Marja Geesink
Adam Georgie
Jaap Geraerts
Jamie LH Goodall
Guy Grannum
Colin Greenstreet
Francesca Greenstreet
Adam Grimshaw
Karen Gunnell
Yerevag Hagopian
Dr Liam Haydon
Phillipa Hellawell
Dr Helmer Helmers
Dr Philip Hnatkovich
Rachel E. Holmes
Dr Jenni Hyde
Steve Ives
Alex Jackson
Stefan Jäggi
Elin Jones
Sue Jones
Ross Keel
Dr Patricia Keller
William Kellett
Sara Kerr
John Kuhn
John Layt
Sjoerd Levelt
John Levin
Grace Mallon
Simon Marsh
Dr Alan Marshall
John Miller
Anne Mills
Kate Morant
Matthias Müller-Prove
Professor Steve Murdoch
Dr Shavana Musa
Harriet Richardson
Gordon O'Sullivan
Katherine Parker
David Pashley
Dr Cathryn Pearce
Nga Phan-Bellis
Professor Simone Paolo Ponzetto
Jo Pugh
Patrizia Rebulla
Bethan Reynolds
Daniel Richards
Andrew Richens
Dr Mia Ridge
Dominique Ritze
Dr Gavin Robinson
Margaret Schotte
Steven Schrum
Laura Seymour
Ida Sjoberg
Edmond Smith
Daniel Stewart-Roberts
Chad Stolper
Roger Towner
Alexis Truax
Dr William Tullett
Oliver Turner
Dr Brodie Waddell
Samuel Watson
Jill Wilcox
Royline Williams-Fontenelle
Ad van der Zee
Dr Kathrin Zickermann
Dr Suze Zijlstra
Cäcilia Zirn
and the ever helpful but anonymous @_mapnut