This group has been created to explore the creation of an inclusive open-source historical mapping community, with a focus on Early Modern London, Early Modern England and Wales, Ireland and Scotland, and their relations with the wider world. It is an initiative of the MarineLives project team. The MarineLives project was launched in 2012 to work collaboratively on the transcription, linkage and enrichment of the legal records of the English High Court of Admiralty. We welcome academics and non-academics to contribute to this group, which is hosted on the Humanities Commons platform, and to advance a culture of exchange of data sets, map layers, polygons, georeferenced data and methodologies.

How can we find and map C17th Thames shore warehouses?

1 reply, 1 voice Last updated by Colin Greenstreet 6 years, 5 months ago
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    • #548

      Colin Greenstreet
      Member
      @marinelives

      What text and archaeological records exist which we could make use of in constructing a map of mid-C17th Thames shoreline warehousing?

       

      No comprehensive study or map have been made of C17th warehousing and other commercial marine infrastructure on the north and south shores of the Thames from London Bridge down to Woolwich.  Morgan’s 1682 map and Rocque’s 1746 map show wharves and docks and hint at areas of warehousing, but provide no detail.

       

      English High Court of Admiralty (HCA) records make reference to various types of goods being stored in warehouses and name the parishes and wharves at which the goods were stored. Incoming goods mentioned include edible oils, grain, masts, pepper, pewter, wine, wood and whale oil. Outgoing goods include beads, cloth, drugs, groceries and metals. One starting point for a map of mid-C17th Thames shore warehousing would be to mine the MarineLives corpus for these warehousing references, and to link this to mining the same corpus for wharves and docks to which the warehouses were intimately linked.

       

      Bartholomew Cuff, a porter at the Still Yard Key, stated in the High Court of Admiralty that “the said Barfoote was cooper of the said oiles, and a cooper looked to them, after their landing, and was the man that put the said seaven tonnes in a warehouse and after they had laine about fourteene monethes at he Stillyard and that noe body would move them they were disposed of by the said Barfoot.” According to Bartholomew Cuff, the porters (including Cuff) were paid for their work by the cooper Alexander Baareffoott“. (HCA 13/72 f.329v)

       

      Depositions in the HCA made by porters, labourers, and coal heavers are particularly useful, as are depositions by wharfingers.

       

       

      References

       

      ‘Morgan’s Map of the Whole of London in 1682 ‘, in Morgan’s Map of the Whole of London in 1682 ([s.l.], 1682), British History Online http://www.british-history.ac.uk/no-series/london-map-morgan/1682/map [accessed 03 December 2016 2016].

       

      GIS compliant version of John Rocque’s 1746 map of London, Westminster and Southwark, available on Locating London’s Past website, https://www.locatinglondon.org [accessed 03 December 2016]

       

      Credits

       

      Photograph of Thames warehouses, undated, uncredited, from ‘What makes the Thames so special?’, The Liquid Highway blog, postedSept 17, 2016

    • #607

      Colin Greenstreet
      Member
      @marinelives

      Twitter exchange with Dr Craig Spence, Saturday December 3rd 2016

       

      Post @Marinelivesorg:  Missing Thames infrastructure – Ideas for datamining text/archaeological records to find & map C17th Thames warehouses? #maphackathon

       

       

      Post @cgspence: @Marinelivesorg my book ‘London in the 1690s’ incs map locating taxed warehouses vaults etc. 4s Aid data may have specific locations.

       

      Post: @Marinelivesorg: @cgspence Is the 4s in £ data in digital form in London Lives for download via API?

       
      Post @Marinelivesorg:   @cgspence Do you have the data georeferenced? Can we use 4s data to geolocate your warehouse/vaults? Just London or also Stepney, Southark?

       

      Post  @cgspence: @Marinelivesorg need to look at data. Some street level info, others precinct/parish. Covers all areas N of Thames, unfortunately not South

       

      Post  @cgspence: @Marinelivesorg it is in London Lives but I don’t know whether all fields were inc. certainly can’t search on property But I have full data.

       

      Post @Marinelivesorg: @cgspence Is there a lot more data than in Keene, Earle, Spence, Barnes (1992), BHOL & in some form of digital map format? #maphackathon

       

      Post @Marinelivesorg: @cgspence Would be great – are you free on Feb 10th 2017 and fancy mashing data with @Marinelivesorg & @OldBaileyOnline? #maphackathon

       

      Post @Marinelivesorg: @cgspence What does accident data look like for riverside parishes? Presumably river & stevadoring & warehouse accidents? #maphackathon

       

      Post @Marinelivesorg @cgspence Fabulous able to interrogate data/make layers for parishes Saint Dusntans, St Katherines, Tower Liberty, Stepney #maphackathon

       

       

      Post  @cgspence: @Marinelivesorg lots re drownings also warehouse, dock & crane deaths, all located to parish some more precise. Be great to map

       

      Post @Marinelivesorg: @cgspence These would be fantastic as one/more additional layers to wap over a warehouse layer and a wharves/docks layer(s) at #maphackathon

       

      Post @cgspence@Marinelivesorg looks like full data set but I have further interpretive notes on specific entries. Streets and owners names inc in some

       

      Post @cgspence: @Marinelivesorg checked & LL data is searchable, eg returns 134 warehouses. Need precinct mapping to locate many, think I have boundary data

       

      Post @Marinelivesorg: @cgspence Let’s talk about this further – map of C17th warehouse mapping done as open-source layer would be an excellent #maphackathon goal

       

      Post @Marinelivesorg: @cgspence Wow – exciting data; could combine with text mining of @bho_history & @OldBaileyOnline for warehouses/wharves at #maphackathon

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