Spatial-VTK
  • Installation
  • Data Formats
  • Configuration
  • Package Overview
  • Examples and Tutorials
  • Reference Documentation
  • Troubleshooting
  • Contact
  • Changelog
Spatial-VTK
  • Spatial-VTK
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Spatial-VTK

Spatial-VTK provides spatial validation tools for ground-motion simulations, including data QC, metric calculations, geologic metadata integration, spatial statistics, mapping, and dashboard preparation.

Spatial-VTK workflow diagram
  • Installation
    • Create the Conda Environment
    • Install from PyPI
    • Install from Source
    • Check the Install
    • Common Setup Notes
  • Data Formats
    • What You Need First
    • Example Metadata
    • Optional Inputs
    • Expected Outputs
  • Configuration
    • Start With This Example
    • Choose Metric Groups Or Metrics
    • Set Waveform Preprocessing
    • Set Automatic QC Thresholds
    • Submit Heavy Work To Slurm
    • Show Or Hide Notebook Run Times
    • Point Spatial-VTK At Your Config
    • Use Configs In Python
    • Default Output Names
    • Use A Run Scenario
    • Override One Run
    • How Values Are Chosen
    • Check The Current Settings
  • Package Overview
    • Workflow At A Glance
    • io
    • config
    • qc
    • metrics
    • spatial
    • visualize
    • cli
    • Where To Go Next
  • Examples and Tutorials
    • Step 1: Ingest and Prepare Data
    • Step 2: Build and Review QC Inventory
    • Step 3: Calculate and Prepare Metrics
    • Step 4: Add Metadata and Analyze Spatial Patterns
    • Step 5: Work with GeoJSON Regions and Corridors
    • Step 6: Explore Additional Plotting Options
    • Step 7: Prepare and Launch Dashboards
    • CLI Workflow Tutorial
  • Reference Documentation
    • Python API
    • CLI API
  • Troubleshooting
  • Contact
  • Changelog
    • Future Work
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