Treffer: 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 ...