Following our crowdfunding campaign, we are pleased to announce the completion of QGIS packages for macOS.
In the world of GIS, vector and raster are the most common data types to represent real world features. But not always, vectors and rasters can describe the complexity and nature of the data.
Thanks to the great response from the QGIS community to our crowdfunding call, we have added several new features to the upcoming release (3.4).
Here are the highlights of the features:
In QGIS 3, we have introduced support for 3D canvas. Most of the functionalities are intuitive and easy to use. But there are some configuration options which are hidden and require a bit of more in-depth explanation for users and developers.
This blog post and the follow-up ones will discuss a range of topics: data sources, 3D canvas navigation, configuration, working with various types of layers, styling and more!
We are excited to launch a new crowdfunding campaign to bring lots of new features to QGIS 3D!
Here is a brief summary of what to expect if the campaign will be successful:
In this tutorial, we are going to explore methods of visualising climate data within QGIS using Crayfish plugin. We are going to use September 2017 datasets from NASA which will include Hurricane Irma.
Crayfish 2.7 is out with grid calculator, new formats and several enhancements. This will likely to be the last version of Crayfish for QGIS 2.x. We have started a crowd-funding campaign to port Crayfish to QGIS 3.
With support for QGIS3D canvas, you can represent your vectors in a number of ways. In this post, we will walk you through how to render vectors as 3D objects.