GIS & Mapping

Provides a brief introduction to integrated GIS and Computational Notebooks such as Jupyter and Bind.

"A containerised platform for Geographic Data Science. A Jupyter-based stack that includes state-of-the-art geospatial libraries for Python and R."

"A Python package that lets you download spatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks."

A Python package to process geospatial data for mapping and analysis.

"A Python library used for visualizing geospatial data. Folium is a Python wrapper for Leaflet.js which is a leading open-source JavaScript library for plotting interactive maps."

"ipyleaflet is a Jupyter - LeafletJS bridge, bringing mapping capabilities to the notebook and JupyterLab"

"Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment."

"GeoNotebook is an extension to the Jupyter Notebook that provides interactive visualization and python-based analysis of geospatial data."

"GeoViews is a Python library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets, such as those used in weather, climate, and remote sensing research."

"Python package to retrieve tile maps from the internet."

"A Python package that automatically discovers US Census Bureau API endpoints and exposes them to Python in a consistent fashion. It also provides easy-to-use access to certain well-used data products, like the American Community Survey (ACS) and 2010 Decennial Census."

A Python library for building interactive reports for your end-users.

Python library for large data visualization.

"An open source project to make working with geospatial data in python easier."

A course material on Automating GIS Processes.

A course material on Geographic Data Science.

A blog providing a general overview of GEOAI.

A Guide to Working with US Census Data in R

Introduction to spatial data analysis using the tidyverse- a package in R.

An insightful presentation on the usage of R in the geospatial community.

"An open source package for producing 2D and 3D data visualizations in R."

An open source Integrated Development Environment (IDE) for R. Also has ability to serve as Python IDE.

"Shiny is an R package that makes it easy to build interactive web apps and dashboard straight from R."

A free and open source Web-based field data collection and visualization tool.

Open source crowdsourcing and mapping tool.

"An open-source JavaScript library for mobile-friendly interactive maps."