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Name: Pankaj Dey, Ph.D.
Type: User
Company: Indian Institute of Science
Bio: Postdoctoral Research Associate at Interdisciplinary Centre for Water Research
Twitter: pankaj_iisc
Location: Bangalore, Karnataka, India
Name: Pankaj Dey, Ph.D.
Type: User
Company: Indian Institute of Science
Bio: Postdoctoral Research Associate at Interdisciplinary Centre for Water Research
Twitter: pankaj_iisc
Location: Bangalore, Karnataka, India
The fundamental package for scientific computing with Python.
Set of R functions for hydrological analysis at NVE
NYU Course Notes & Resources
objective threshold level calculation based on a flow duration curve (FDC).
Codebase for water research
Repository of MATLAB code for the manuscript "Quantifying the diversity of multiple time series with an ordinal symbolic approach" by Luciano Zunino and Miguel C. Soriano, submitted to Phys. Rev. E, 2023.
MATLAB scripts for ordinal-patterns-based analysis and related measures (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordinal distributions)
paper_quality_plot.matlab
Checklist, and advice, for writing and reviewing academic papers
Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Netherlands). Contact: Edwin Sutanudjaja ([email protected]).
Python Codes for Computing Permutation Entropy
Publication quality plot in MATLAB.
Simple examples of Matlab, R, and Matplotlib (Python) plotting tools.
Code for the Effective Computing 2020 class
Codes for estimating Potential Evapotranspiration
precintcon is an R package with functions to analyze the precipitation intensity, concentration, and anomaly.
Functions for the delineation of Dynamical Process Networks using Information Theory
Set of scripts to calculate global water tower index
Code to create the PXR dataset
Repo for the Jupyter notebooks for a programming course at the Justus-Liebig-University Giessen
A collection of Python packages for geospatial analysis with binder-ready notebook examples
This repository holds a list of open source Python packages interesting to Hydrologists
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
Introduction to python use in geosciences.
Synthetic streamflow generator with adjustable drought frequency
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.