Description: This interactive map visualizes social vulnerability patterns across census tracts in St. Louis County, Missouri, combined with the locations of food deserts. Features: Census tracts are shaded by cluster assignment indicating relative social vulnerability: High Vulnerability (brown): Higher concentrations of socioeconomic challenges. Moderate Vulnerability (tan): Mixed indicators. Low Vulnerability (blue): Fewer vulnerability factors. Red triangle markers highlight tracts classified as food deserts (low income and low access to healthy food options). Hover over any tract to see its ZIP code, city, and population. Click a red triangle to identify the specific food desert tract. This visualization supports targeted policy planning and resource allocation by combining socioeconomic data with food access information in an accessible format.

Application letter

Previsão do número de matriculas na UFPE para o ano de 2026 a partir dos dados de graduação e pós-graduação. Exposição da metodologia e resultados.

Analysis of fungal communities via metabarcoding (ITS rDNA sequences) data, examining how communities differ between benthic substrates and across a stream continuum and annual flow permanence gradient.

his interactive map displays census tracts in St. Louis County classified into three clusters of social vulnerability using k-means clustering. Each tract is shaded to reflect its relative level of vulnerability based on socioeconomic and demographic indicators, including poverty rates, population characteristics, and housing factors. High Vulnerability: Areas with higher concentrations of socioeconomic challenges. Moderate Vulnerability: Areas with mixed indicators. Low Vulnerability: Areas with comparatively fewer vulnerability factors. Hover over each tract to view the City, ZIP Code and population This visualization supports targeted policy planning and resource allocation by highlighting spatial patterns of need.

En este archivo se muestra que la t de student puede ser estandarizada y aproximada por la normal

Este archivo contiene las confianzas empíricas de los intervalos de confianza con muestras pequeñas y distribución no normal