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Everything about Spatial data infrastructure

A spatial data infrastructure (SDI), also called geospatial data infrastructure, is a data infrastructure implementing a framework of geographic data, metadata, users and tools that are interactively connected in order to use spatial data in an efficient and flexible way. Another definition is "the technology, policies, standards, human resources, and related activities necessary to acquire, process, distribute, use, maintain, and preserve spatial data". Most commonly, institutions with large repositories of geographic data create SDIs to facilitate the sharing of their data with a broader audience. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Spatial data infrastructureA 5-minute orientation
  2. Skim a recent paper: The development of a spatial data infrastructure to support marine spatial planning in GreeceInfluential work since 2022
  3. Pick up a classic book: The 3-D global spatial data modelThe most-reprinted book on the subject
  4. Read the landmark paper: Marine administration and spatial data infrastructureCited 58 times
  5. Go sideways: GeoportalA closely related topic
  6. Go sideways: Geospatial metadataA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. General
  2. Software components
  3. National spatial data infrastructures

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics