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Analysis of DIYSCO2 Measurement Campaigns

Setup:

You will need R. I'm currently running the R version specified below on MacOSX El Capitan 10.11.6:

R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)

Before your run the AMT-analysis.R script, you will have to install the packages which are listed in the first few lines of the code. Just uncomment them and run.


Input:

The data from the winter (2016-03-18) & summer (2015-05-28) measurement campaigns.

Geodata for plots:

Data processed from the mapping.py script

NOTE: the open access data are the processed data. If you want to run the analysis script here, you will need a few more data which are listed in the mapping.py readme (e.g. traffic count roads split by grid size, etc).

Points: The geojson points for each measurement campaign

  • filtered-data-points-150528.geojson
  • filtered-data-points-160318.geojson

Processed data grids: The processed grids for each measurement campaign and grid size (50m, 100m, 200m, and 400m)

  • gridded_emissions_###.geojson

Run the script

You can run the analysis using the AMT-analysis.R script.

NOTE: The folderpaths will have the be updated for your system. Also, note you will need to input data for the script to give you what you would expect.


Output:

The main data outputs of of the project are open access and can be found here.

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