If you are a macOS user, there are already several methods to install. But, unfortunately the packages are not signed and often using old libraries. We have started a prototype to automatically generate. The packages are proved to be popular and the QGIS PSC has accepted to take over the infrastructure and publish them eventually as the official QGIS packages for macOS.
Finally got the work in 3.4. Thanks, for your compilation. Thanks, and for the projection.:) — David Garcia (@mapmakerdavid) To polish the work and sort out some of the issues, we will need extra funds. We are hoping QGIS macOS users will be able to help the crowdfunding campaign. The target amount is 8,500 € and the campaign will be active until 31 January 2019.
Please have a look at the dedicated page for further details and help us spread the word! Last week the first official “” conference was held at Melbourne University. This was a fantastic event, and there’s simply no way I can extend sufficient thanks to all the organisers and volunteers who put this event together. They did a brilliant job, and their efforts are even more impressive considering it was the inaugural event! Upfront — this is not a recap of the conference (I’m sure someone else is working on a much more detailed write up of the event!), just some musings I’ve had following my experiences assisting deliver an introductory Python for QGIS workshop he put together for the conference.
In short, we both found that delivering this workshop to a group of PyQGIS newcomers was a great way for us to identify “pain points” in the PyQGIS API and areas where we need to improve. The good news is that as a direct result of the experiences during this workshop the API has been improved and streamlined! Let’s explore how: Part of Nathan’s workshop (notes are available ) focused on a hands-on example of creating a custom QGIS “Processing” script. I’ve found that preparing workshops is guaranteed to expose a bunch of rare and tricky software bugs, and this was no exception!
Unfortunately the workshop was scheduled just before the QGIS 3.4.2 patch release which fixed these bugs, but at least they’re fixed now and we can move on The bulk of Nathan’s example algorithm is contained within the following block (where “distance” is the length of line segments we want to chop our features up into): for inputfeature in enumerate(features): geom = feature.geometry.constGet if isinstance(geom, QgsLineString): continue firstpart = geom.geometryN(0) start = 0 end = distance length = firstpart.length while start. Thanks to your donations, we were able to hire core developers to focus on solving Mac OS specific issues for QGIS. More than 30 MacOS QGIS users donated a little more than 3000 € for this bug fixing round. After an effort of triage and testing, here is what has been achieved:. The map canvas is now in HiDPI. The issue was that Mac OS handles differently high DPI scaling by providing a scaling ration to scale graphics output.
For more information, read and for even more info. You may not have noticed, but the scale shown under the canvas was wrong in former QGIS 3.x versions. It has been fixed too. Zooming with trackpad is now fluent The track pad is apparently sending more events than the scrolling and are now discarded to avoid scale jumps.
Size of mouse cursors with map tools has been fixed. The scaling previously introduced could be removed thanks to the HiDPI fixes, and this has fixed by the same occasion the active point of the cursor being misplaced. The size of the map canvas at startup was not an issue in QGIS in itself and has been fixed by upgrading to a newer Qt version. Rendering slowness issue.should. also have been fixed by an upgrade of Qt version. At the moment, the “default” theme of QGIS (as opposed to the “Night Mapping” theme), has a few glitches when used in Mojave with “Dark” theme activated. Mainly text in widgets cannot be read since they are white on white.
This is a Qt issue and the upcoming Qt 5.12 released by the end of november should fix it. In the mean time, the QGIS “Night Mapping” theme is automatically applied when running on Mojave with Dark theme. While the theme is probably not perfect, it allows to work properly and the situation will be evaluated again when Qt 5.12 is released. Unfortunately, some issues remain.
Mainly, the text being rendered as outlines in PDF export remains for now. It might be fixed in a following effort. Thanks to all donors who helped in this effort and to Denis Rouzaud as a core developer who spent a lot of time investigating and fixing these issues! If you follow me on Twitter, you have probably already heard that the ebook of has now been published and we are expecting the print version to be up for sale later this month. And I – together with our editor Gary Sherman (yes, that!) – have been working hard to provide you with tons of new and improved map design workflows and many many completely new maps.
By, this edition contains 23 new maps, so it’s very hard to pick a favorite! Like the 1st edition, we provide increasingly advanced recipes in three chapters, each focusing on either layer styling, labeling, or creating print layouts. If I had to pick a favorite, I’d have to go with “Mastering Rotated Maps”, one of the advanced recipes in the print layouts chapter. It looks deceptively simple but it combines a variety of great QGIS features and clever ideas to design a map that provides information on multiple levels of detail. Besides the name inspiring rotated map items, this design combines. map overviews. map themes. graduated lines and polygons.
a rotated north arrow. fancy leader lines all in one: provides how-to instructions, as well as data and project files for each recipe. So you can jump right into it and work with the provided materials or apply the techniques to your own data.
What’s new in a nutshell After a bit more than four months of development the new update release GRASS GIS 7.4.2 is available. It provides more than 50 stability fixes and improvements compared to the previous stable version 7.4.1. An overview of the new features in the 7.4 release series is available at.
Efforts have concentrated on making the user experience even better, providing many small, but useful additional functionalities to modules and further improving the graphical user interface. Segmentation now support extremely large raster maps. Dockerfile and Windows support received updates. Also the manual was improved.
For a detailed overview, see the. As a stable release series, 7.4.x enjoys long-term support.
Binaries/Installer download:. winGRASS 7.4.2:. winGRASS 7.4.2 OSGeo4W:. (CentOS6, RHEL6, ). (CentOS7, RHEL7, ).
(Ubuntu LTS – Bionic, Xenial) (Ubuntu non-LTS). (fully bundled binaries). further binary packages for other Linux distributions will follow shortly, please check at. Source code download:. To get the GRASS GIS 7.4.2 source code directly from SVN, see.
More details: See also our detailed announcement:. (overview of new 7.4 stable release series). (list of available addons) First time users may explore the after installation. About GRASS GIS The Geographic Resources Analysis Support System , commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats.
It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo). The GRASS Development Team, October 2018 The post appeared first on. We are pleased to announce the release of QGIS 3.4 ‘Madeira’! Madeira was the location of our developer meeting in February 2018. Are already out, and all the packagers are actively preparing packages for the other operating systems.
We’ll keep you updated when different packages and installers become available. QGIS 3.4 comes with tons of new features, as you can see in. QGIS 3.4 will become the first LTR of version 3. Based on, 3.4 will replace 2.18 as LTR in February 2019.
We would like to thank the developers, documenters, testers and all the many folks out there who volunteer their time and effort (or fund people to do so). From the QGIS community we hope you enjoy this release! If you wish to donate time, money or otherwise get involved in making QGIS more awesome, please wander along to and lend a hand! QGIS is supported by donors and sponsors. A current list of donors who have made financial contributions large and small to the project can be seen on our.
If you would like to become and official project sponsor, please visit for details. Sponsoring QGIS helps us to fund our six monthly developer meetings, maintain project infrastructure and fund bug fixing efforts. A complete list of current sponsors is provided below – our very great thank you to all of our sponsors! QGIS is Free software and you are under no obligation to pay anything to use it – in fact we want to encourage people far and wide to use it regardless of what your financial or social status is – we believe empowering people with spatial decision making tools will result in a better society for all of humanity. 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. Example of those datasets are:. Metrological data: e.g. Temperature and wind speed. Hydrological data: flood depth and flow velocity.
Oceanography: salinity and wave flux In the past, we introduced to handle unstructured grids, usually with temporal and other components. The main issues with were:. had its own renderer. Therefore, we had to create binaries and ship them with the plugin.
This was not ideal, as not all the platforms (e.g. MacOS) was not supported. loaded all the data in the memory. For small files, this was not an issue. But there was not a solution for larger files. For more details of the rational behind introducing MDAL, see the with great suggestions and feedback from the developers.
TL;DR: we needed a new abstraction library to handle the mesh data formats similar to GDAL/OGR dealing with rasters and vectors. Current state After the feedback from the QGIS community, we have introduced MDAL library earlier this year.
It took us a bit of time to put the. There are already some formats available from MDAL. The library was integrated to. But extensive improvements and new features were added during 3.4. There are still more formats to support.
In QGIS, we will also need to enhance the spatial indexing and performance of the driver in general. For more information visit. How to work with MDAL layer in QGIS is a mesh layer you can use to load in QGIS.
For more data, you can visit the (or ) or websites. In QGIS, from the main menu Layer Data Source Manager. A new window will appear. From the left panel, click on Mesh and point to the downloaded file. You should be able to see a figure similar to the one below: To view quantities within the mesh, you can open the Layer Styling Panel. Click on Styling tab:.
First select and deactivate Native Mesh Rendering. Click on and under groups, towards the right of 10 metre wind click on and to view the quantities. Below the Groups, you can move the slider to browse through time of the dateset(s). To change style of the contours and vectors you can click on and tabs and adjust the color ramps and vector sizes accordingly. What happens to Crayfish plugin? We have recently released a new version of to work directly with mesh layer in QGIS.
Crayfish is now based on Python only and can be installed on all main platforms (including MacOS). Future developments We are planning to add mesh calculator (either as a core QGIS feature or Crayfish/Processing plugin).
There will be more formats in the pipeline to support in MDAL too. If you’d like to add support for your mesh layer to MDAL, you can follow the examples on the. We are always happy to help. Thanks to the great response from the QGIS community to our, we have added several new features to the upcoming release (3.4). Here are the highlights of the features: Print layout With this new feature, you can embed a 3D scene to the print layout. In addition, there are camera and view setting tools available to adjust the scene from within the map frame.
This will allow you to generate high resolution outputs similar to the other map frames. Animation You can create an animation based on a set of keyframes - camera positions at particular times. QGIS 3D then interpolates the camera positions/rotations in between the keyframes.
To create the keyframes, first set the scene for your map, by rotating, zooming or moving the camera. Then assign a time to the frame. There are several methods for interpolations between keyframes. Identify tool in 3d map A new Identify Tool was introduced to 3D map. Using this tool, you can inspect features from the 3D scene. Thanks to our friends from for funding this feature.
3D lines If you have a 3D linestring, you can now use the elevation of vertices to display it in 3D map. Camera control There are more control on how you can pan, rotate and zoom the camera within the scene:. Page up/down: to move the camera up/down:. Free camera movements: also possible to look from below:. Shift key and drag: the camera rotates around a point on terrain:. Ctrl key and drag: this will rotate camera while it stays in one position In addition, the point towards which the camera is looking is dynamically adjusted based on the terrain.
The rotation in scenes where a DEM used for terrain has been enhanced significantly. This is more pronounced with presence of higher hills in the terrain. Further development There are still some exciting features from the crowdfunding which will be incorporated in QGIS 3.6. You can check the or follow us on. I recently came across a by in which he demonstrated how to create map of Switzerland in the style of Edward Imhof, the famed Swiss cartographer renowned for his of Switzerland and other mountainous regions of the world. John’s map used traditional hillshading, and crucially, a translucent topographic layer that created a mist like appearance he likened to the technique used by painters since the Renascence.
I followed John’s tutorial in QGIS 3.2 and I was quite pleased with the initial result below. However, the process creating it is a bit too complicated for a tutorial so I set about simplifying the process and rather than imitating Imhof’s distinct style, my goal this time is realism.
The heart of the effect involves the very clever idea of using the topographic layer as a subtle opacity mask to simulate mist, fog and atmospheric haze. Have a look at the image below taken on March 17th, 2005 by NASA’s. This is the industrialised of northern Italy, surrounded by the and that rise above the valley’s hazy pollution. The haze adds a sense of depth to the surrounding hills and mountains. It’s not uncommon to see fog and pollution in satellite imagery that gives way to the clear air in high mountains e.g.,. Creating a similar mist effect in QGIS is actually quite simple.
First download (a 68.55 Mb GeoTiff file derived from freely available data I resampled from 25 to 100m resolution). Next, make sure you have the plugin (QMS) installed (menu Plugins – Manage and Install Plugins). This great plugin provides access to. Load the GeoTiff file into QGIS (Raster – Load) and rename the layer Hillshade. Right click the layer to open the Layer Properties window. In the Symbology panel, next to Render Type, choose Hillshade.
Change the altitude to 35 degrees, Azimuth to 300 degrees and Z Factor of 1.5 (illuminating the landscape from the top left). Finally, change the Blending mode to Multiply. Click OK to close the dialogue. To add the basemap layer, Esri World Imagery (Clarity), type “ESRI clarity” in the QMS search bar to find and add the basemap; Go to View – Panels and activate the QMS search bar if it isn’t initially visible. Make sure it’s the bottommost layer.
Oh, that’s a bit disappointing, we only increased the relief little a bit. It’s missing the vitally important mist layer. To create mist, right click the Hillshade layer and choose Duplicate. Rename the new layer Mist and make sure it’s above the Hillshade layer. Now open the Layer Properties window of the layer, we’re going edit it’s attributes to make it look like mist. Change the Render type to Singleband Pseudocolor and use 0 and 3000 for the min and max values (limiting maximum latitude of the mist to 3000 meters).
Then open the colour ramp window by clicking on the Color ramp and enter these values:. Left Gradient – HSV 215 15 50 and 75% transparency. Right Gradient – HSV 215 15 50 and 0% transparency Close the Color Ramp dialogue.
Download Qgis 2.18.14-1 For Mac Os
In the Layer Properties window, and this is very important, change the Blending mode to Lighten. Click OK to close the Layer Properties window.
Wow, we have mist! The mist effect looks great. It certainly adds a lot of realism to the topographic map, it now looks quite like NASA’s images. This is just a quick and basic map so there’s lots of scope to improve the effect. Play around with the colour of the mist layer and its opacity, or even brighten the Hillshade layer underneath.
See what effects these changes have. Here’s another example below. In this example I duplicated the hillshade layer and set the second hillshade layer to Multidirectional Hillshading (yes, QGIS 3.2 has ). I then adjusted the transparency of both hillshade layers so they blended together nicely. I then replaced the basemap with another duplicated topography layer that I coloured using the gradient (by, 2005) using the plugin. And lastly, I doubled the opacity of the mist layer turning it into a milky fog. I think it looks great!