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Recent Posts

  • Using EarthSciLab for calculations with the InMAP Source Receptor Matrix (ISRM)
  • Tutorial: Accessing the source-receptor matrices from AWS
  • Working with source-receptor matrices using https://inmap.run and GeoPandas in Python
  • Tutorial: Estimating health impacts of the Volkswagen emissions scandal

Using EarthSciLab for calculations with the InMAP Source Receptor Matrix (ISRM)

September 9, 2026

Chris Tessum

The existing online ways of using the InMAP source-receptor matrix (ISRM) are being retired in favor of a new service, EarthSciLab. This tutorial walks through running point, area, and line source analyses through the ISRM using EarthSciLab and Python.

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Tutorial: Accessing the source-receptor matrices from AWS

December 15, 2022

Xiao Ran, Chris Tessum

This tutorial provides you a simple access to the source-receptor matrices using AWS and Python. After installing all the dependencies, you can easily follow the instructions to work with the SR matrices.

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Working with source-receptor matrices using https://inmap.run and GeoPandas in Python

April 20, 2019

Chris Tessum

Air pollution source-receptor matrices give relationships between emissions at source locations and concentrations at receptor locations. This tutorial demonstrates how to use source-receptor matrices to estimate health impacts of air pollution emissions.

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Tutorial: Estimating health impacts of the Volkswagen emissions scandal

March 4, 2019

Xinyu Zhang

This blog post contains a step-by-step example of how to create an emissions scenario and use the InMAP model to estimate the resulting health impacts.

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