Context

Oyumino is a residential area of ca. 605 hectares located in proximity to the western shores of the Tokyo Bay and on the southern end of the Shimousa tableland in the Bosō peninsula (Kantō region, Central Japan). Topographically it is characterised by a series of short and narrow fluvial valleys cross-cutting an upland with an average elevation of ca. 30-50 meters. From an administrative viewpoint, the district is part of the Chiba prefecture, a region which has been intensely excavated from the 60s onward as part of an urban development plan encompassing the entire southern Kantō region (the national archaeological site database of the Nara National Research Institute for Cultural Properties has 24,749 archaeological sites recorded for Chiba).

The geographic combination of the Shimousa tableland and the rich intertidal zones of the Tokyo bay has been often linked to the extraordinary high density of settlements attributed to the Jōmon period (ca. 16,000 – 2500 cal BP), an archaeological phase characterised by the presence of hunter-gatherers with a rich material culture and comparatively high levels of sedentism. About one third of the identified sites can be attributed to this archaeological phase, and Chiba offers one of the best contexts for studying these prehistoric hunter-gatherers, due to a considerable number of settlements associated to shell-middens, which offer invaluable information concerning the subsistence strategies of the Jōmon communities.[7],[8]

The Jōmon settlements of Oyumino have been investigated between 1974 and 2001 with a series of emergency excavations related to the development of the “Chiba South-East New Town Area”. The archaeological investigations have identified 19 Jōmon settlements; most of them have been extensively excavated, yielding over 380 round- shaped dwellings dug into the ground (pithouses) with a diameter between 4 and 8 meters. This offers an incomparable dataset for studying patterns between the traditional intra-site (< 200m) and regional (> 5km) scale of analysis and to switch the basic unit of analysis from arbitrary defined concepts such as “site” or “settlement” to the single residential feature.

The dataset focuses on the interval between the Middle and Late Jōmon periods (ca. 5500-3200 cal BP) which, with 364 identified pithouses, represents the largest portion of this rich settlement data. Residential features of this period are often distributed following an annular plan (along with other features such as storage pits, shell deposits, etc.) with an unoccupied central plaza in the middle. The Oyumino dataset shows how these large settlements (known as kanjōshūraku in Japanese[8]) were associated to smaller clusters of residential features. The typical inter-distance between the kanjōshūraku and these satellite settlements were extremely small — often within the range of 100-200 meters[4] —, suggesting how a “site” or “settlement” based analytical units are not suitable in this case.

The large amount of diagnostic potsherds recovered from the floors of these dwellings offer a good source material for hypothesising the relative dates of these settlements. Furthermore, recent efforts[6] to convert the relative pottery-based chronology into an absolute sequence has further enhanced the quality of the temporal dimension, often offering chronological resolutions of 30-100 years, a scale unique for prehistoric hunter-gatherers.

The reliance on these indirect dating techniques has however some drawbacks, mainly the different levels of uncertainty derived by the quality and the quantity of diagnostic materials. In order to overcome this issue, the chronological interval between 5500 and 3200 BP, has been divided into intervals of 100 years, and the probability of existence of each pithouses for each of these temporal blocks have been computed using Aoristic analysis[10],[2]. The resulting dataset offers an extremely flexible platform for computing different methods of spatial analysis[4] and visualisation techniques.[3]

Spatial Coverage

Description: Oyumino district, Chiba City, Chiba Prefecture, Kanto Region, Japan, East Asia.

Projected Reference System: Tokyo / Japan Plane Rectangular CS IX (EPSG: 30169)

  • Northern Boundary: -48526 m
  • Southern Boundary: -51445 m
  • Western boundary: 29500 m
  • Eastern boundary 33101 m;

Temporal Coverage

5470 – 3220 cal BP (Middle to Late Jomon periods; rounded to 5500-3200 for the aoristic database)

Methods

Steps

Published excavation plans of each site has been scanned and geo-rectified to the Tokyo / Japan Plane Rectangular CS IX projected system using grid coordinates depicted on the map or visually identified ground control points (e.g. road intersections, buildings, etc.) when these were not available. The excavation areas of sites, regardless of their chronology, have been then vectorised as polygonal features (with the exception of kofun-period tombs).

A 1:5000 scale topographic map of the area prior to the urban developement works[5] has also been scanned and geo-rectified to the same projection system. The 2-meter interval contour lines and the 314 height spots depicted on the map has been manually digitised and allowed the creation of a 5 meter resolution DEM (Digital Elevation Model) using ArcGIS 9.0 Topo to Raster algorithm.

Locations of individual residential units have been identified from the scanned and rectified excavation plans and have been digitised as point data using visually identified centroids. Each pithouse has been associated to an attribute table containing information retrieved from the excavation reports. These include their dimensions (major and minor axis), topological relationship to other pit-houses, and a categorical chronological definition. The latter was expressed in terms of pottery phase, and includes instances where the ambiguity has been expressed in terms of time-span of existence (i.e. range of possible sequential pottery phases within which the pithouse might have been used).

An additional table containing the absolute duration of these pottery phase has been obtained by using Kobayashi’s shinchihei chronology[6] updated for the local sequence using Ouchi’s chronological scheme.[9]

The information stored in these two tables has been then combined using Aoristic analysis,[2],[10] which allowed us to assign, for each pithouse, a sequence of values indicating their probability of existence for temporal blocks of 100 years, starting from 5500-5400 and ending at 3300-3200. The entire process has been automatised in a script written in R statistical computing language, which allows potential updates of the probability distribution in case new data on the absolute duration of the pottery phases becomes available.

Sampling Strategy

The dataset are derived from the whole set of published materials pertaining the spatio-temporal domain of interest. Each excavation has however been based on a different type of sampling strategy and the reader will need to refer to the original report to access specific details.

Quality Control

All records on the attribute table have been checked and the translation of the pottery phases have been standardised when possible. Each dataset is associated to a metadata file in .txt where additional information concerning data creation has been recorded.

When possible, the original raw data has been made available. Thus a shapefile with the contour lines and the height spot are provided in case an alternative algorithm for the DEM interpolation is preferred. Similarly the R script provides a tool for generating alternative probability distributions using different hypothesis on the pottery phase start and end dates.

Constraints

Pithouse locations have been represented as point data, and hence the topological relation is not depicted in the shapefile but recorded exclusively on the attribute table. Furthermore, the dimensionality reduction (from polygon to point) might be bias the result of spatial analysis if the scale of analysis is comparatively small (i.e. orders of 0-10 meters).

The chronological definition of each residential unit has been originally based on the interpretation of the diagnostic potsherds recovered from the floors, with different degrees of uncertainty expressed in form of time-span of existence. However, this uncertainty is a function of the archaeologist’s knowledge and experience, and hence this might have been expressed in different term (see Bevan et al. in Press for discussion[1]) for different sites. The conversion table of temporal categories into absolute intervals were based on the interpretation of these published data, and as such alternative absolute intervals can be theoretically obtained by re-assessing the archaeological materials from each site. The provided R-script can then be used to update the table and hence the associated probability distributions.

Dataset Description

Object Name

  • border – a vector polygon dataset depicting the spatial extent of the Oyumino district (in .shp and associated files).
  • excavationarea – a vector polygon dataset representing the areal extent of the excavation units of each site (in .shp and associated files).
  • pithouses – a vector point dataset representing the centroids of pithouses attributed to Middle to Late Jomon period (in .shp and associated files).
  • pithousedata – a set of three files providing data, meta data and field description for the attributes of the residential units (in .csv, .txt and .csvt).
  • contour – a vector line dataset representing the contour lines digitised from the topographic map (Japan Housing Corporation 1968) with the elevation data recorded to the associated attribute table (in .shp and associated files).
  • heightspot – a vector point dataset representing the height-spots digitised from the topographic map (Japan Housing Corporation 1968) with the elevation data recorded to the associated attribute table (in .shp and associated files).
  • demoyumino – a raster digital elevation model (DEM) obtained from the interpolation of contour and heightspot (in .tif).
  • potphase – a set of three files providing data, meta data and field description for the absolute date of the pottery phases (in .csv, .txt and .csvt).
  • referencelist – a set of three files providing data, meta data and field description for the list of excavation reports (in .csv, .txt and .csvt).
  • adata – a set of three files providing data, meta data and field description for the list the aoristic database (in .csv, .txt and .csvt).
  • time2aoristic – an R script for generating aoristic weights to update adata in case the data on pithousedata and potphase are modified (in .R).
  • workflow – an example workflow for using time2aoristic (in .R).

Data Type

Primary data and processed data from originally published materials; script for data analysis/conversion.

Format Names and Versions

.csv., .txt, .shp, .tif, .R

Creation Dates

Original created on 01-07/2007; Revised edition on 04/2012

Dataset Creators

All data has been created by Enrico Crema.

Repository Location

UCL Discovery, DOI: http://dx.doi.org/10.5334/data.1334758578

Publication Date

23/04/2012

Language

English

License

CC0

Reuse Potential

The dataset offers an invaluable context for diachronic analysis of hunter-gatherer settlement pattern, with the unique opportunity to use residential features as unit of analysis in a meso-scale inter-site context. The probability weights generated from the Aoristic analysis allow also the application of several methods capable to deal with the problem of temporal uncertainty.[4]

More specifically the availability of polygonal (excavationarea) and point data-sets (pithouses) offers an suitable dataset for the application of point-pattern analysis, with the former acting as a more robust window of analysis for incorporating edge corrections.

Finally the R script provided with the data allows the possibility to: 1) recreate the provided probability distribution of the pithouses; 2) update or amend the existing data; and 3) to apply Aoristic analysis to any other archaeological data based on similar types of temporal knowledge (i.e. a table of events with a categorical temporal definition coupled with a table where the beginning and the end of each category are provided in absolute dates).