Jonatan Moreno's Projects
Contains demo notebooks used in the Spring 2022 Earth Analytics class
Tutorials and content created by Earth Engine users, for Earth Engine users
IPython notebooks for teaching MODFLOW groundwater modeling through flopy
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Teaching materials for the R package ggplot2
Blue and green water flows in the SWAT semi-distributed hydrological model in a river basin.
gis坐标转换工具,实现任意坐标系之间的转换,火星坐标系转换
Graph neural networks for state estimation in water distribution systems
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
HYDrologic Remote sensing Analysis for Floods Python package
CRAN Hydrology Task View - [Under Construction and not actually on CRAN]
Hydrology Thematic Exploitation guide http://hydrology-tep.github.io/documentation
HydroMT: Automated and reproducible model building and analysis
A dummy tool to view and explore timeseries data
CUG水文气象学--函数库
Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.
Introduction to loading and plotting data from Earth System Climate models (e.g. CMIP)
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Content for 'A short Introduction to LaTeX: or LaTeX in 105 minutes'.
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc...
Machine Learning Algorithms and Deep learning in Pytorch
Tutorial to learn how to train different machine learning methods to model glacier mass balance.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
An Introduction to Machine Intelligence for Architects and other Nonengineers
Daily gridded meteorological dataset at 1 km spatial resolution across Serbia for the 2000–2019 period
Python library to train neural networks with a strong focus on hydrological applications.
Multi-Site and -Objective calibration method for SWAT model