Sebastian Brinkmann
Sebastian Brinkmann

Data Scientist

Hi 👋

I’m a Data Scientist at GfK Geomarketing, specializing in developing methodologies for international market analysis. Previously, I explored the intersection of machine learning, natural environments, and human behavior as part of the Digital Health Geography research group.
This site showcases my personal projects, where I tackle geo-spatial challenges using R.

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Interests
  • Data Science
  • Spatial Analysis
  • Urban Forestry
  • Remote Sensing
  • Epidemiology
Education
  • B.Sc. in Physical Geography

    FAU Erlangen-Nürnberg

  • B.Sc. in Applied mathematics and physics

    TH Ohm Nürnberg



📚 Recent Posts

Nürnberg - 2. Greenspace Availability Index (GAVI)

By combining NDVI, LAI, and LULC data at multiple scales with lacunarity-based weights, the Greenspace Availability Index (GAVI) captures both the quantity and arrangement of urban vegetation - providing a more accurate and nuanced measure of greenspace.

Nürnberg - 1. Viewshed Greenness Visibility Index (VGVI)

By combining binary greenspace data with DSM/DTM viewshed analysis, the Visibility-based Greenspace Index (VGVI) captures how much vegetation is actually seen from a ground-level perspective—offering a more user-centered and comprehensive measure of urban greenery.

Visibility - Sensitivity Analysis

Thinking critically about parameters before running the code is always important. In this post I will explain how to set important parameters when conducting a Visibility Analysis.

📚 Featured Publications

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