Data, materials, methods and codes for publication Reis et al., "Understanding the stickiness of commodity supply chains is key to improving their sustainability", 2020, One Earth.

<p>Explanation of the data and code used for the article:&nbsp;&quot;Understanding the stickiness of commodity supply chains is key to improving their sustainability&quot;, 2020, One Earth.</p> <p>&nbsp;The file: &quot;StickinessAnalysisCompleteGeneric_CleanUpdate18-5-2020.R&quot; is the R code/ script containing all the data preparation and the stickiness analysis.</p> <p>The file: &quot;BRAZIL_SOY_V2.3_WITH_DOMESTIC_TRADERS.csv&quot; contains the raw data of Brazil&#39;s soy exports and domestic consumption from trase.earth. This dataset can also be obtained from trase.earth in the latest version.</p> <p>The file: &quot;NodesCiS.csv&quot; is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: A. logistics hubs supplying traders, and D. traders supplying countries. They are put together in the same table because they are all &quot;sending&quot; relationships.</p> <p>The file: &quot;NodesCiR.csv&quot; is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: C. traders sourcing from logistics hubs, and E. countries sourcing from traders. They are put together in the same table because they are all &quot;receiving&quot; relationships.</p> <p>The file &quot;NodesCiSMunCountry.csv&quot; is&nbsp;a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: B. logistics hubs supplying countries (directly not passing through traders). This is separate in another table because it is a direct sending relationship from LHs to countries.</p> <p>The file &quot;NodesCiRMunCountry.csv&quot; is&nbsp;a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: F. countries sourcing from logistics hubs (directly not passing through traders). This is separate in another table because it is a direct receiving relationship from LHs to countries.</p> <p>The file: &quot;NodesWPiS.csv&quot; is a table with the WPi (stickiness on flows) measured for the types of supply chain relationships: A. logistics hubs supplying traders, and D. traders supplying countries. They are put together in the same table because they are all &quot;sending&quot; relationships.</p> <p>The file: &quot;NodesWPiR.csv&quot; is a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: C. traders sourcing from logistics hubs, and E. countries sourcing from traders. They are put together in the same table because they are all &quot;receiving&quot; relationships.</p> <p>The file &quot;NodesWPiSMunCountry.csv&quot; is&nbsp;a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: B. logistics hubs supplying countries (directly not passing through traders). This is separate in another table because it is a direct sending relationship from LHs to countries.</p> <p>The file &quot;NodesWPiRMunCountry.csv&quot; is&nbsp;a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: F. countries sourcing from logistics hubs (directly not passing through traders). This is separate in another table because it is a direct receiving relationship from LHs to countries.</p>