Gone

README Manuscript A Dual-Metric Framework for Convective Organization: Integrating Information Hierarchy and Spatial Clustering Overview This repository contains the supplementary datasets and analysis code associated with the manuscript listed above. It provides the simulated random spatial patterns (detailed in the Supplementary Information), their corresponding statistical properties and organizational indices, as well as the source code used to generate these patterns and compute the metrics. All data files necessary to reproduce the figures in the main text and supplementary materials are included. Repository Structure The repository is organized into two main components: 1. Simulation Datasets and Code: Large ensembles of simulated patterns, their computed metrics, and the R scripts used for generation and analysis. 2. Figure Data: Data files corresponding to specific figures in the manuscript. Part 1: Simulation Datasets and Code Dataset Description This dataset contains the computed statistical properties and organizational indices for large ensembles of random spatial patterns. These patterns were generated using two distinct simulation methods: the Binary Grid Simulation (detailed in Supplementary Information Text S3.1) and the Square Placement Simulation (detailed in Text S3.2). The simulated patterns span a wide range of domain sizes (𝐿𝐿) and fractional coverage levels. Each row in the CSV files corresponds to a single simulated realization. Key Variables For each simulated pattern, the following variables are provided (further detailed in the Supplementary Information): • L: domain size • coverage: prescribed fractional coverage • N: number of objects • AvgSize and MaxSize: mean and maximum object sizes • AvgDist: mean inter-object distance • HOI, Iorg, COP, SCAI: organizational metrics Data Files • Dataset_grid.csv – results from the Binary Grid Simulation (Text S3.1) • Dataset_square.csv – results from the Square Placement Simulation (Text S3.2) • Dataset_square_L.csv – additional results for the extended domain-size analysis (Text S5.2) Experimental Design A detailed description of the experimental design, including pattern-generation procedures, parameter settings, and computational workflow, is provided in Text S3 of the Supplementary Information. Code & Reproducibility The following R scripts are provided to ensure full reproducibility of the datasets and indices: • Code_generate_patterns.R – Script used to generate the random spatial patterns and produce the raw simulation outputs corresponding to the datasets above. • Code_compute_indices.R – Collection of functions used to compute the organizational indices (e.g., HOI, Iorg, COP, SCAI) from the simulated spatial patterns. Part 2: Figure Data Dataset Description This section contains the underlying datasets used to generate the plots presented in the manuscript and the Supplementary Information. Data Files • Dataset_Figure_4.csv • Dataset_Figure_6.csv • Dataset_Figure_8.csv • Dataset_Figure_9.csv • Dataset_Figure_S8.csv • Dataset_Figure_S9.csv • Dataset_Figure_S10.csv • Dataset_Figure_S11.csv