Check here how to visualize change, explore trends, and find patterns in your data using line charts in ArcGIS Online Map Viewer.

How to Visualize Change With Line Charts in ArcGIS Online Map Viewer

The geemap package is built upon ipyleaflet and ipywidgets, and enables users to analyze and visualize Google Earth Engine datasets interactively within a Jupyter-based environment.

geemap: A Python Package for Interactive Mapping With Google Earth Engine

This tutorial shows you how to capture the expansion of built-up surfaces in the world's largest urban areas using R.

How to Map OSM and Satellite Data With terra in R

RiverREM is a Python package for automatically generating river relative elevation model (REM) visualizations from nothing but an input digital elevation model (DEM). Learn how to use it here.

How to Generate River Relative Elevation Models (REMs)

Bertin.js is a JavaScript library for visualizing geospatial data and make thematic maps for the web. Bertin.js v1.0 has now been released. Check here for examples on how to use Bertin.js.

Bertin.js Usage Examples

Check here for a Python script for creating an animated GIF, given a shapefile with time-annotated vector objects (e.g., building footprints and construction year).

How to Create an Animated GIF From a Time-Annotated Shapefile

PyGMT is a Python library for processing geospatial and geophysical data and making publication quality maps and figures. Here is a short course on using PyGMT.

Free Course: Crafting Beautiful Maps With PyGMT

This website aims to list all open-source (OS) Python libraries that can be used for doing various operations, analyses, visualizations etc. related to GIS and Earth Observation.

Python OS Ecosystem for GIS and Earth Observation

The spatstat package has extensive capabilities for exploratory analysis, statistical modelling, simulation and statistical inference with a strong focus on analysing spatial point patterns in 2D.

spatstat: A Family of R Packages for Analysing Spatial Data

PyGIS is a Python package for installing optional dependencies for geemap and leafmap with only one command.

Introducing a New Python Package Called PyGIS

This multi-page web app (source code included) demonstrates various interactive web apps created using streamlit and open-source mapping libraries, such as leafmap, geemap, pydeck, and kepler.gl.

Interactive Streamlit Web App for Geospatial Applications

tmap is an open-source R package for drawing thematic maps. The API is based on A Layered Grammar of Graphics and resembles the syntax of ggplot2, a popular R package for drawing charts.

tmap: R Package for Thematic Maps

This article will use WorldPop's population density dataset and walk through how to to map population density with R using data for Djibouti as an example.

How to Map Population Density Using WorldPop and R

Felt is a live, editable map that anyone can use personally or professionally, aiming to make map-making approachable and fun. Learn more here.

Felt: A New Way to Make and Share Maps on the Internet

ggplot2 is an R package dedicated to data visualization. Here is a cheat sheet guiding you in using ggplot2 for data visualization.

Cheat Sheet for ggplot2 R Package

The ggplot2 R package does not natively support plotting raster data. This article presents a custom method for plotting RGB satellite imagery with ggplot2.

How to Plot RGB Satellite Imagery in True-Color With ggplot2 in R

The mapsf R package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. Here is a cheat sheet guiding you in using mapsf.

Cheat Sheet for mapsf R Package

This posts demonstates how to create realistic 3D topographic maps using R and satellite imagery as an overlay map.

Making Realistic 3D Topographic Maps in R

Here is some sample code that uses Mapbox GL JS to export an animated wildfire progression map as an mp4 video file.

Example of Creating an Animated Wildfire Progression Map Video

An inset map is a smaller map inset within a larger map. Learn how to inset maps in your own web applications using ArcGIS API for JavaScript. View the blog post and video here.

Inset Maps With ArcGIS API for JavaScript

This course provides an introduction into core concepts and applications of data science based approaches to geospatial data analysis. You will find the materials for this course here.

Free Course Materials: Geospatial Data Science

Here is a thorough ebook for learning GIS. Subjects include data visualization with QGIS, GIS and analysis tools, Earth observation and imagery analysis, and geospatial data processing.

GIS4Schools: Free GIS Learning Resources

If you are interested in data analysis, data visualization, and modeling of geographic data in R, you should check out this free book by Robin Lovelace et al.

Free Book: Geocomputation With R

Placemark is a place to create, edit, and convert the data that powers maps, in real-time with your team.

Placemark: Collaborate On, Manage, and Edit Maps and Geospatial Data

Check out this tutorial on mapping rivers in R using Global River Classification dataset.

Map Rivers With sf and ggplot2 in R

The GeoDataViz Toolkit is a set of resources that will help you communicate your data effectively through the design of compelling visuals. Check it out here.

GeoDataViz-Toolkit: Resources, Assets and Other Useful Links for Geospatial Data Visualization

Prettymapp is a web application that enables you to create beautiful artsy maps for any address in your browser with a single click.

Prettymapp: Create Beautiful Maps From OpenStreetMap Data in a Web App

This tutorial explains how to display graphs in Lizmap popups by defining relations, filters and data visualization settings in QGIS.

How to Display Pie Charts in Lizmap Popups

Introducing a new Python package named geospatial that enables to install commonly used Python packages for geospatial analysis and data visualization with only one line of code.

geospatial: A Python Package for Installing Commonly Used Geospatial Packages

Those who are users of QGIS, GRASS, SAGA or ArcGIS, can now use color palettes from the same applications in Google Earth Engine with the help of the ee-cpticity module.

ee-cptcity: Color Palette Module for Google Earth Engine

This post demonstrates how to create an interactive map using the leafmap Python package and how to use the drawing tool to conveniently query geospatial data by selecting locations from the map.

Exploring and Visualizing Geospatial Data Using leafmap

Google announces that deck.gl is now integrated with WebGL Overlay View in Google Maps JavaScript API, allowing you to create amazing 3D data visualizations.

Google Maps Announces deck.gl Support for WebGL Overlay View

Here is a tutorial teaching you how to generate your own flight path map using Python and open-source data.

Mapping the World's Flight Paths With Python

Do you use clustering for your high-density datasets? ArcGIS API for JavaScript now allows you to calculate any statistic on the cluster's features, filter, or even list them in the popup content.

ArcGIS Arcade: Summarize and Explore Point Clusters in Popups

Here is a set of tutorials for building relative elevation models (REMs) in QGIS, creating beautiful visualizations of the results and exporting the images.

How to Create Relative Elevation Models (REMs) in QGIS

Have you ever wanted to generate your own river maps using Python and open source data? Well, look no further, here is a full tutorial on just that.

Creating Beautiful River Maps With Python

River Runner is an application that visualizes the path of a rain droplet from any point in the world to its end point (usually an ocean or an inland water feature).

River Runner Is Now Global

Here is a video recording of a 90-min workshop introducing leafmap, featuring Dr. Qiusheng Wu, Assistant Professor of Geography at the University of Tennessee, Knoxville.

Video: Interactive Mapping and Geospatial Analysis Using leafmap

Infographics cards are visualizations that provide contextual information about your map. Learn how to use infographics cards in your applications.

ArcGIS for Office and ArcGIS for SharePoint: Infographics Card Tips and Tricks

The leafmap package is free and open-source, enabling users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab and Jupyter Notebook.

leafmap: A Python Package for Geospatial Analysis and Interactive Mapping

Check out this lesson to predict the pattern of values across an entire area using interpolation in ArcGIS Online.

How to Interpolate Values in ArcGIS Online

Check out these 15 practical cartography tips to use in ArcGIS Pro.

Data-visualization

How to Visualize Change With Line Charts in ArcGIS Online Map Viewer

geemap: A Python Package for Interactive Mapping With Google Earth Engine