This repo shares the ultimate guide to making cool 3D maps with rayshader and ggplot2 in R

Docker - Beginners | Intermediate | Advanced

A collection of some of the neat math and physics tricks that I've collected over the last few years.

matplotlib: plotting with Python

Geocomputation with Python: an open source book

My personal programming notes

3D map visualization and web export plugin for QGIS

Jupyter notebooks for the GEE book

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

An interactive GUI for WhiteboxTools in a Jupyter-based environment

A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.

2021 #30DayMapChallenge data visualization project. Maps made using PyGMT whenever possible.

GIS scripts and tools

HeightMap terrain for Godot implemented in GDScript

Blender Panel to import Google Earth Studio, KML Routes, and 3D Masking

Some 30 Day Map challange maps. I won't get many done but I thought I'd keep track of what I do manage...

Curso de python básico orientado al análisis de datos, en español

A terminal spreadsheet multitool for discovering and arranging data

A collection of Python packages for geospatial analysis with binder-ready notebook examples

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

GPS log file viewer and analyzer with support for GPX, TCX, KML, FIT, IGC, NMEA, SLF, SML, LOC, GPI, GeoJSON and OziExplorer files.

Slides & content for a talk at useR! 2021

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

An R plugin for {rayshader} to view a 3D vista anywhere on earth.

A quick method for overlaying a Google Map satellite image on a 3D DEM using rayshader and ggmap packages.

🤖 Keep your forks up-to-date via automated PRs

A collection of stand-alone Python machine learning recipes

An open access book on scientific visualization using python and matplotlib