origo

Origo is a geospatial spreadsheet dataset documenting ancient migrants attested in the Epigraphic Database Heidelberg (EDH). It is derived from a subset of individuals in the EDH People dataset (available at: https://edh.ub.uni-heidelberg.de/data/download/edh_data_pers.csv) who explicitly declare their geographic origin in the inscriptions. Based on the data curated by the EDH team, we have geocoded the stated places of origin and further enriched the dataset with additional metadata, prioritizing machine readability. We have developed the dataset for the purpose of a quantitative study of migration trends in the Roman Empire as part of the Social Dynamics in the Ancient Mediterranean Project (SDAM, http://sdam.au.dk). The scripts used for producing the dataset and for our related publications are available from here: https://github.com/sdam-au/LI_origo/tree/master. The dataset includes two point geometries per individual: • Geographic origin (origo_geometry) – representing the individual’s place of origin or birth. • Findspot (findspot_geometry) – indicating the location where the inscription was discovered, which often approximates the place of death, as approximately 70% of the inscriptions are funerary. Scope and Structure: The dataset covers 2,313 individuals, described through 36 attributes. For a detailed explanation of these attributes, please refer to the accompanying file origo_variable_dictionary.csv. File Formats: We provide the dataset in two formats for download and analysis: 1. CSV – for general spreadsheet use. 2. GeoParquet (v1.0.0) – optimized for geospatial data handling. In the GeoParquet version, the default geometry is defined by the origo_line attribute, a linestring connecting the origo_geometry (place of origin) and the findspot_geometry (findspot of the inscription). This allows for immediate visualization and analysis of migration patterns in GIS environments. Getting Started with Python: To load and explore the GeoParquet dataset in Python, you can use the following code: import geopandas as gpd import fsspec origo = gpd.read_parquet(fsspec.open("https://zenodo.org/records/14604222/files/origo_geo.parquet?download=1").open())Origo是一款地理空间电子表格数据集，记录了见于海德堡铭文数据库（Epigraphic Database Heidelberg, EDH）的古代移民群体。该数据集源自EDH人物数据集（EDH People dataset）的子集，子集内的个体均在铭文中明确声明了其地理出身，EDH人物数据集可通过以下链接获取：https://edh.ub.uni-heidelberg.de/data/download/edh_data_pers.csv。 基于EDH团队整理的原始数据，我们对上述个体声明的出身地点进行了地理编码，并为数据集补充了额外元数据，优先保障其机器可读性。本数据集的构建旨在开展罗马帝国移民趋势的定量研究，作为古代地中海社会动力学项目（Social Dynamics in the Ancient Mediterranean Project, SDAM，http://sdam.au.dk）的组成部分。用于生成该数据集及相关研究成果的脚本可从以下链接获取：https://github.com/sdam-au/LI_origo/tree/master。 本数据集为每位个体提供两类点几何要素： • 出身地理坐标（origo_geometry）：代表个体的出身或诞生地。 • 出土地点几何坐标（findspot_geometry）：指示铭文被发现的位置，由于约70%的铭文为丧葬类铭文，该位置通常可近似为个体的逝世地。 范围与结构： 本数据集涵盖2313位个体，共包含36项属性字段。如需了解这些属性的详细说明，请参阅配套文件origo_variable_dictionary.csv。 文件格式： 我们提供两种格式的数据集供下载与分析使用： 1. CSV格式：适用于通用电子表格软件。 2. GeoParquet（v1.0.0）格式：针对地理空间数据处理进行了优化。 在GeoParquet版本中，默认几何要素由origo_line属性定义，该线要素连接出身地理坐标（个体出身地）与出土地点几何坐标（铭文出土地），可直接在地理信息系统（GIS）环境中实现移民模式的可视化与分析。 Python快速上手： 若需在Python环境中加载并探索GeoParquet格式的数据集，可使用以下代码： import geopandas as gpd import fsspec origo = gpd.read_parquet(fsspec.open("https://zenodo.org/records/14604222/files/origo_geo.parquet?download=1").open())