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Ejercicio de Ecología Aplicada
Ejercico realizado en clases de Ecología Aplicada
Maximum Likelihood Estimation
In this assignment, I work with the maximum likelihood estimation (MLE). More specifically, I look at the Gamma distribution and calculate the score functions of its two parameters. I use these score functions to apply the MLE to estimating these parameters. I also look at the method of moments estimation (MME) and compare its findings with that of the MLE.
Eval Frecuente Grupo1
Integrantes:
- Lozada Calle Juan Carlos
- Cedeño Celas Madelyn Anahi
- Cedeño Delgado Lucas Jared
- Saltos Perez Luis Ronaldo
OXWP26Tunnel_TrayPlants_3D
3D scatterplot of marketable yield, percentage yield of control variety, and grams per berry
Buoy data analysis
This R Markdown analysis explores seasonal differences in water quality and hydrological conditions in two urban canals in Miami—Coral Gables Canal and Little River. The workflow integrates buoy sensor data, discharge records from SFWMD DBHYDRO, and precipitation data, applies basic data cleaning and seasonal classification (wet vs. dry), and uses principal component analysis (PCA) to evaluate how key biogeochemical variables—such as fDOM, salinity, conductivity, dissolved oxygen, pH, turbidity, chlorophyll-a, and discharge—interact across seasons. Seasonal differences in the PCA structure are further evaluated using Kruskal–Wallis and Dunn post-hoc tests, allowing assessment of how hydrological seasonality influences water quality dynamics in these coastal urban canal systems.