DBCells

An architecture for publishing and linking cellular space modeling data.

DBCells: An Architecture for Publishing Linked Modeling Data

Land-use and land-cover change (LUCC) models require vast amounts of data and are often difficult to reproduce or reuse. Initiatives focused on Open and Linked Data enhance the reproducibility of scientific experiments and data portability. A core pillar of the Linked Data concept is the use of Uniform Resource Identifiers (URIs). This project aims to evaluate and refine a methodology to enable the reuse, sharing, comparison, and reproduction of land-use models and datasets. This approach is supported by **DBCells**, an architecture designed for the publication of connected cellular space data. By providing a structured framework for linked cells, we aim to advance open and reproducible science within the LUCC modeling community.

Published Data

Software & Tools

The following tools were developed to support the DBCells architecture:

Key Publications

  • Costa, Sergio Souza et al. “DBCells: An Open and Global Multi-Scale Linked Cells.” Revista Brasileira de Cartografia, 2018.
  • Garcia, Deyvison Aguiar, Costa, Sérgio Souza, & Moreira, E. G. “Publication of Linked Data for Land-Use and Land-Cover Models.” Revista Geonorte, v. 10, 2019.

Talks & Presentations

  • GeoINFO 2016 - “DBCells: An Open and Global Multi-Scale Linked Cells.”

Technical References & Resources

Vocabularies & Ontologies

Open Science & Geocomputation

Developer Tools & Documentation

Tips & External Data

Further Reading

  • Linked Data: A Paradigm Shift for Geographic Information Science
  • GeoTriples: A Tool For Publishing Earth Observation and Geospatial Data as RDF Graphs
  • GeoSPARQL: Enabling a Geospatial Semantic Web
  • Geospatial Semantics and Linked Spatiotemporal Data: Past, Present, and Future
  • Linked Data of Temporal Information
  • Wāhi: A Discrete Global Grid Gazetteer built using Linked Open Data
  • Data Models and Query Languages for Linked Geospatial Data
  • Best Practices for Publishing, Retrieving, and Using Spatial Data on the Web