Name: Sambadi Majumder
Type: User
Company: Global Water Security Center
Bio: I am a Geospatial Data Scientist, interested in answering research questions pertaining to ecology, climate change, environmental security and agriculture.
Location: Royalton, Vermont, United States
Blog: https://sambadimajumder.quarto.pub/spatialdatachronicles/
Sambadi Majumder's Projects
"šæ A comprehensive repository dedicated to applying eXplainable Artificial Intelligence (XAI) in ecology. Dive into interpretable machine learning techniques to assess intraspecific trait variations and explore datasets, visualizations, and more. ššš"
Data Sonification Meets Music: A symphonic blend of data-driven sounds with inspired musical compositions.
An interactive visualization platform showcasing timelapse videos of global climate shifts. Dive into captivating visuals that chronicle changes in temperature, precipitation, desertification, air pollution, and more. Witness the evolving narrative of our planet, one frame at a time.
Utilizing Interpretable Machine Learning to Analyze and Assess the Environmental Factors Affecting Vegetation Health in the Sundarbans Mangrove Forest.
Effortlessly handles geospatial data with geoRFlow, your comprehensive R package for geospatial tasks. For data import and quality checks using workflow automation.
"A hub for innovative geospatial data visualizations using Python and R. Explore, analyze, and visualize geographical data in an interactive and intuitive manner."
This repository is a curated collection of R functions developed by Sambadi Majumder. This serves as a comprehensive inventory of functions, catering to various domains.
This repository is dedicated to the study of functional trait divergence using machine learning methodologies. It encompasses datasets, code, tables, and visual representations pertinent to the research.
Exploring weekly Tidy Tuesday challenges with R to unravel insights and hone data visualization skills.
"pyearthly effortlessly handles geospatial data, especially in in the context of data import and quality checks using workflow automation."
Portfolio
My Data Science Portfolio
Explore the realm of spatial data with Sam through the Spatial Data Chronicles portfolio website. This repository hosts all essential files to navigate the journey, sharing insights and projects on GIS, remote sensing, and spatial analysis.
This repository contains code and data for analyzing sunflower agricultural yield in the US for identifying specific climate variables and thresholds that influence yield using interpretable ML approaches as well as to forecast future county-wide yield across three future timeframes.
About YieldScape USA is a dynamic, user-driven dashboard enabling the visualization of crop yield data across the US. By uploading a tailored RDS file, users can explore yearly yield variations at national, state, and county levels through an interactive, full-screen map.