Published January 18, 2019 | Version v1
Journal article Open

S2 Table. Table of response and predictor variables used in the Random Forest classification. S2 Table is in CSV format. Geospatial Modeling of Land Cover Change in the Chocó-Darien Global Ecoregion of South America; one of most rainy areas in the world.

Authors/Creators

  • 1. Northern Arizona University

Description

This table contains 18,559 training sites that were classified visually into eight LULC classes using high resolution imagery.  The training sites table contains the interpreted LULC class as well as the predictor variables of temporal spectral and vegetation index values (NDVI and EVI) for each year along with  SRTM values and topographic  slope where columns represents the response and predictor variables and rows consists of the 18,559 observations. 

Files

S2 Table.csv

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