Name: Marcus Suassuna
Type: User
Company: Brazilian Geological Survey - CPRM
Bio: DSc, research in hydrology, statistical hydrology, natural disasters, forecast, and hydroclimatology data projects.
Location: Brasilia, Brasil / Madrid, Spain
Marcus Suassuna's Projects
The Shiny App is helpful to perform flood frequency analysis.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Traçado de relações cota-vazão usando equação de Manning
Project Repository - Course 1, Week4
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
code for GRL 2015 paper
Shiny App to download data from Brazilian National Hydrometeorological Network
The Shiny App is helpful to download data from automatic stream gauges from the Brazilian National Hydrometeorological Network.
Basic code to analyse temporal changes in channel morphology from hydrometric data.
Module 3 of the Reproducible Templates course
Module 2 new RMarkdown document
Module 4_template examples
Test repository
Script para acesso a dados do HidroWeb e Hidrotelemetria para previsões de níveis
Repository for Programming Assignment 2 for R Programming on Coursera
Getting and cleaning data course, Coursera: final project.
Peer Assessment 1 for Reproducible Research
In the Shiny App, the Soil Moisture Accounting Procedure hydrological model is implemented.
Download SRTM for an entire country with R {raster}
Analysis of floods using storm tracks data
Tufte Styles for R Markdown Documents
Weather Check - R package with an R Markdown template
Weather Check - Simple R Markdown template
Github repo with R markdown and compiled HTML files with description of the analysis of lift weight exercises.