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.
Data-visualization
- Placemark is a place to create, edit, and convert the data that powers maps, in real-time with your team.
- Check out this tutorial on mapping rivers in R using Global River Classification dataset.
- 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.
- Prettymapp is a web application that enables you to create beautiful artsy maps for any address in your browser with a single click.
- This tutorial explains how to display graphs in Lizmap popups by defining relations, filters and data visualization settings in QGIS.
- 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.
- 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.
- 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.
- 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.
