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SUMMARY:Representing the dynamics of premodern real estate transactions in
  space and time. Challenges using the Historical Land Register of Basel - 
 Benjamin Hitz\, Tobias Hodel
DTSTART;TZID=Europe/Amsterdam:20240925T153000
DTEND;TZID=Europe/Amsterdam:20240925T160000
DTSTAMP:20260811T044019Z
UID:pretalx-spathum24-JFY3HZ@pretalx.com
DESCRIPTION:Premodern urban economy relied massively on annuities as a (mo
 stly) real-estate-based credit instrument\, turning houses into an importa
 nt economic factor. Sources on transactions related to real estate are gen
 erally dispersed in the archives – and any finding is hard to localize p
 recisely\, which is probably why real estate has played a minor role in re
 search on the premodern urban economy. Finding means to research such tran
 sactions on a large scale allows us to discover a dynamic field of economi
 c activity. \n\nThe ability to address such questions for Basel is based o
 n the Historical Land Register of Basel\, known as “Historisches Grundbu
 ch Basel”\, initiated in 1895 and developed over several decades (see ht
 tps://dls.staatsarchiv.bs.ch/records/1016781). The creation of this land r
 egister involved a thorough plowing through large parts of Basel’s city 
 archives. Each mention of a house prompted the creation of a file card\, w
 hich contained an almost verbatim transcription of the source\, accompanie
 d by a date and additional details. These cards\, approximately 120\,000 i
 n total\, were organized by house and sequenced chronologically. Due to th
 is arrangement\, any discovery within the register can potentially be loca
 lized and dated. The wealth of information within the historical land regi
 ster is unparalleled for the era since it is not limited to one corpus but
  contains combined information from various corpora.\n\nFor the Spatial Hu
 manities 2024 conference\, we want to discuss two significant challenges: 
 one related to the process of georeferencing data and one to strategies fo
 r data analysis in space and time.\n\nLocalizing houses\n\nWhen the Histor
 ical Land Register was established\, it was decided to base its structure 
 on an 1862 address book of the city of Basel. That was a pragmatic decisio
 n that allowed for an easily manageable structure for researchers. However
 \, this structure was faulty for obvious reasons: it could not consider th
 e changes that occurred during several centuries of building activity and 
 real estate trading. When sources indicated that plots were divided or uni
 ted\, the editors of the Historical Land Register created new house dossie
 rs linked to the exact address of 1862. This has the advantage that the dy
 namics of plots and housing can be retraced at the cost of having multiple
  dossiers linked to one address. These dossiers were then described as bei
 ng “part of” plots as they presented themselves in 1862 or having mult
 iple addresses in 1862 in case of plots that were split later. Based on th
 is metadata and the dates we can extract from the records\, we can establi
 sh some kind of “plot history” for the whole city (see an example for 
 one street in the annexed document). By the way\, this plot history is one
  of ownership rather than one of construction. For example\, a person migh
 t have bought a neighboring house at some point and built a new house in p
 lace of the two old ones at some other time. This last activity generally 
 cannot be identified in the sources.\n\nThe paper will present our current
  strategies for establishing a plot history. We intend to use rule-based p
 rocedures based on metadata to displace points in probable directions. The
  intention is not to find precise locations for houses that no longer exis
 t but to create plausible approximations. The handling and representation 
 of uncertainty is a major challenge in this process.\n\nSpatial analysis\n
 \nHaving established a usable localization for the houses in Basel\, we ca
 n start analyzing the real estate market. Based on procedures that will no
 t be presented here\, we intend to identify the primary transaction of eac
 h record in the Historical Land Register using machine learning methods. I
 n a preliminary analysis\, we tried to identify seizure procedures. Using 
 a regex search in the HTR-recognized texts\, we found about 9’500 such p
 rocedures from around 1350 to 1800 AD. In the annexed document\, we show t
 wo representations of these data: plotting all points on a 19th-century ci
 ty map and using a clustering algorithm by QGIS.\n\nFor the Spatial Humani
 ties conference\, we will explore various spatial analysis strategies for 
 such data and challenges linked to representing the results in space and t
 ime. In addition to using analysis tools and procedures\, we will focus on
  two aspects. Firstly\, we explore the use of known physical and cultural 
 structures of the city space (such as streets\, suburbs\, church parishes\
 , etc.) to structure our data or their representation. Secondly\, we inten
 d to revert the process\, using our data to determine the city's relevant 
 structures and economic hotspots.\nFor this part of our paper\, we will pr
 esent the preliminary result of an exploratory phase in our research. \n\n
 The Spatial Humanities Conference 2024 will be the ideal occasion to prese
 nt such findings based on a  rich data set to a competent public\, allowin
 g us to develop our research further!
LOCATION:MG1 00.04 Hörsaal
URL:https://pretalx.com/spathum24/talk/JFY3HZ/
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