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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: J. Camilo Fagua;

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.

Abstract

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.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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