LaTeX template for the response to reviewer comments (scientific journal publications)

Material for the Pearson Live Training Session “Hands–On Data Visualization with ggplot2” for O’Reilly

Monitoring #30DayMapChallenge on Twitter

Collection of notebook and slides for AI workshop , WRC Pokhara

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

R for Geographic Data Science

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

Image segmentations of trees outside forest

A list of R packages that are focused on Ecology

Geocoding Made Easy

Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm

OWID Dataset Collection

D3 like plots creation with plotly in QGIS

Notebooks for the Digital Earth Africa Sandbox

This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.

Machine learning to better predict and understand drought. Moving github.com/ml-clim

R Markdown Résumés and CVs

An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). http://usgs-r.git…

A curated list of awesome Python frameworks, libraries, software and resources

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Download and import OpenStreetMap data from Geofabrik and other providers

A curated list of fraud detection papers using graph information or graph neural networks

SDS 375 Data Visualization in R