Supporting data for climatic clustering and longitudinal analysis with impacts on food, bioenergy, and pandemics

Dataset

Description

This data supports the conclusions found in "climatic clustering and longitudinal analysis with impacts on food, bioenergy, and pandemics". Included here are (i) the binarized geolocation vectors used for exhaustive vector comparisons, (ii) the resulting climatic networks, (iii) the results of applying Markov clustering to the climatic networks, and (iv) the results of applying Correlation-of-Correlations (cor-cor) to the climatic networks. The set of binarized geolocation vectors that are used as inputs for the Combinatorial Metrics library (CoMet) are of the form "comet-UUUUUxVVVVV-XXXX-YYYY.shuffled.tped" where "UUUUU" is the number of vectors, "VVVVV" is the length of each vector, "XXXX" is the starting year, and "YYYY" is the ending year. Each line corresponds to a geolocation vector of binary elements A (i.e., 0) and T (i.e., 1). The set of climatic networks that are used for downstream network analysis are of the form "network-U-way-XXXX-YYYY.parsed.txt" where "U" is the order of the comparison (2-way or 3-way), "XXXX" is the starting year, and "YYYY" is the ending year. Each line corresponds to an edge linking two geolocations (defined by latitude and longitude) with its corresponding edge weight (i.e., DUO score). The set of cluster results are of the form "clusters-U-way-XXXX-YYYY-thresh-VVVV-inflation-WWW.clustered.txt" where "U" is the order of the comparison (2-way or 3-way), "XXXX" is the starting year, "YYYY" is the ending year, "VVVV" is the similarity threshold, and "WWW" is the Markov clustering inflation rate. Each line corresponds to a single cluster and is composed of a number of corresponding geolocations (defined by latitude and longitude). The set of cor-cor results are of the form "corcor-U-way-XXXX-YYYY.cumulative.txt" where "U" is the order of the comparison (2-way or 3-way), "XXXX" is the starting year, and "YYYY" is the ending year. Each line corresponds to a single geolocation with it's corresponding cor-cor value.

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