shekhar sharan goyal's Projects
Prediction of WQI and WQC using Logistic Regression and ANN
BIOGEOMON 2022 open pre-conference workshop on "Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python"
Catchment Attributes and Meteorology for Large-sample Studies
The newly developed dataset, CAMELS-Chem, compiles USGS water chemistry and instantaneous discharge from 1980 through 2014 in 493 headwater catchments. It includes common stream water chemistry related constituents, as well as an overlapping set of annual wet deposition load from the National Atmospheric Deposition Program.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Computing in Civil and Environmental Engineering
End-to-end workflow for generating high resolution cropland maps
All notes and materials for the CS229: Machine Learning course by Stanford University
EASYMORE; EArth SYstem MOdeling REmapper
Workshop materials for EGU General Assembly 2021 sessions Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python Satellite image processing using Python programming
Environmental Spatial Data Analysis
A program to detect impacts of extreme weather events like floodings or wildfires for risk management.
process and data viz gebco bathymetry
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
R-coded Workflows for GRASS GIS and RHESSys model
A dev for ESIP grant
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
Interstate Trade Exacerbates Agricultural Pollution in Food Bowls of India
Interface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:
Models and datasets for Limnology
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A package for calculating net anthropogenic input index and soil system budget for nitrogen and phosphorus.
Network Science with Python and NetworkX Quick Start Guide, published by Packt
streamflow prediction_lstm_cnn
These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization