Have you ever thought “gee I wish I could have a ASCII QGIS map viewer for console use. I’m so over these fancy UIs with their fancy graphics, fonts, and icons”.
You are still reading? OK good I thought I lost you.
Anyway. Here is a fun idea. A ASCII QGIS map viewer that renders your project files in a console window (with colour possible). Still with me?
This project was mainly just a bit of fun to play with the curses Python library and QGIS. What started off as a random idea on the train seems to have turned into full “usable” thing, if viewing a project and the legend is considered usable.
If you are still with me and itching to see it in action here it is. In all the ASCII glory
Last week not only QGIS 2.14.0 Essen was released but also a great book “QGIS Map Design” based on this new version of QGIS. A release of QGIS is special but this release concerns an announced LTR release. QGIS 2.8.7 is the current LTR version in which al bugs found between 2.8 and 2.14.0 have been … Continue reading New release of QGIS and book!
The resolution of the DEM is approximately 30 metres. For more detailed analysis, a better dataset (e.g. LIDAR) would be ideal.
I set up a 2-dimensional model with the following assumptions and parameters:
A square cell size (70 metres)
The dam was assumed to be full
Simulation time of 24 hours
The breach would occur after the first hour (1:00 hour in to the model run)
The dam would be completely breached after 1 hour (between 1:00 – 2:00 hour during the model run)
Using Crayfish plugin for QGIS, the results can be animated to see the on-set of the flooding.
Note, that the first hour of the model run was used to initialise the water level within the dam. Hence, for the actual flood travel time, one hour should be deducted from the timing shown towards the bottom right corner of the video.
Below, you can see the flood extent generated based on my calculations and the extent shown here (red line in the main map) for Mosul.
Maximum flood extent due to the breach of the upstream dam in Mosul. (Click to enlarge)
Disclaimer: The calculation carried out for this demo was very approximate. Despite obtaining very similar results for Mosul compared to the original study, further checks and revisions are required.
If you are using QGIS for digitizing work, you have probably seen the 2.14 Changelog entry for Trace Digitizing. The main reason why this is a really cool new feature is that it speeds up digitizing a lot. When tracing is enabled, the digitizing tools take care to follow existing features (as configured in the snapping options). For a detailed howto and videos check Lutra’s blog.
We’ve recently been developing a client plugin for forest management which relies on the Python SQLAlchemy module. When I installed the latest version of my colleague’s work I got a Python traceback error about a missing Python module (SQLAlchemy).
This blog is more of a note to myself for future reference of how to install third-party modules in QGIS' Python environment.
Installing third-party modules in Windows is usually quite straight-forward, either download an installer (which will find the Python environment from the registry) or use easy_install from the Python setuptools.
The problem is that QGIS ships with its own Python installation that these methods cannot easily add to.
(Don’t get me wrong – I like the fact that each QGIS instance has its own Python environment as it keeps each version very self-contained).
So here’s the method I successfully used to install SQLAlchemy (which I’ll use here to install the lxml module):
Wait for the QGIS version / instance you want to modify to appear:
Right-click it, select Run as administrator
In QGIS, select Python Console from the Plugins menu
QGIS is a user friendly Open Source Geographic Information System that runs on Linux, Unix, Mac OSX, and Windows.
We are very pleased to announce the release of QGIS 2.14 ‘Essen’. Essen was the host city to our developer meet ups in October 2012 and 2014.
Long Term Release
This is a special release since it is designated an ‘LTR’ (Long Term Release). LTR releases will be supported with backported bug fixes for one year, and will be in permanent feature freeze (i.e. no new features will be added, only bug fixes and trivial updates). Note that we are in discussion to extend the term of our LTR releases to two years, but for technical reasons we will not do this until QGIS 3.2.
The purpose of LTR releases is to provide a stable and less frequently changing platform for enterprises and organizations that do not want to deal with updating user skills, training materials etc. more than once per year. The success of the LTR is very much down to you, our beloved users – we need your support to help funding bug fixes and making sure in your support contracts with support providers specify that any bug fixes done on your behalf are applied to the LTR branch as well as our normal development branch.
If an LTR is important to you, please consider also directly supporting the QGIS project, or encourage your commercial provider to use LTR as a basis for your enterprise solution so that everyone may benefit from a stable platform that is being continuously improved and refined. Note that for users and organizations that like to live on the frontier, our regular four monthly releases will continue unabated.
Note that 2.14 first enters the regular package repositories and will not immediately replace 2.8 in the LTR package repositories. That will happen when 2.16 is released.
Whenever new features are added to software they introduce the possibility of new bugs – if you encounter any problems with this release, please file a ticket on the QGIS Bug Tracker. (http://hub.qgis.org)
The source code and binaries for Windows, Debian and Ubuntu are already available via the large download link on our home page: http://qgis.org. More packages will follow as soon as the package maintainers finish their work. Please revisit the page if your platform is not available yet.
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 qgis.org 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
donors list. If you would like to become and official project sponsor, please
visit our sponsorship page for details.
Current Sponsors of QGIS:
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!
So some good news for QGIS users who also need/want to use MapInfo. QGIS via GDAL 2.0 can support MapInfo TAB file editing. In all older versions of GDAL there was only support for read and/or write but not both.
MapInfo TAB editing has been supported in GDAL 2 but up until this point QGIS has only be built against GDAL 1.xx. GDAL 2.x is now the default GDAL release in OSGeo4w.
2.0.2 is now the default GDAL in OSGeo4W and the nightlies (qgis-ltr-dev,
qgis-rel-dev and qgis-dev) already picked it up.
With the next release the regular packages (2.14 and 2.8) will also be updated
to use it
Even if you don’t want to make the switch to full QGIS you can now use both bits of software and edit in both.
QGIS will still only support a single geometry type per layer so if you open a mixed tab file you will get the geometry type selector. You can load the layer 3 times if you need the 3 different geometry types.
The Call for Papers and Workshops for the 2nd International QGIS User and Developer Conference, is still open!
Call for Presentations
Deadline: February 22nd
The QGIS Conference presentations are 20 minutes long, with time for Q&A at the end of each talk. Presentations may cover any aspect related with the use or development of QGIS software. Anyone can can submit a presentation proposal and take part in the conference as a presenter. The received proposals will be reviewed by the program committee.
There are two kinds of workshops depending on the duration: 2 hours or 4 hours. If you want to actively participate in the 2nd Int. QGIS Conference and impart a workshop, don’t hesitate to send your workshop proposal to email@example.com
The proposal should be a brief abstract pointing out the expected duration of the workshop (2 hours, 4 hours) as well as a few lines describing the content of the workshop, pre-requisites for the attendants (if needed), name of the instructor…
The instructors of the selected workshops will receive a free pass for the conference.
This dataset is a pretty detailed building model, where each building is made up of multiple features that represent parts of the building with different height. Of course, if we just load the dataset in default style, we cannot really appreciate the data:
Loaded building parts layer
All this changes if we use the new 2.5D renderer. With just a few basic settings, we can create 2.5D representations of the building parts:
QGIS 2.5D renderer settings
Compare the results to aerial images in Google Maps …
QGIS 2.5D renderer and view in Google Maps
… not bad at all!
Except for a few glitches concerning the small towers at the corners of the building, and some situations where it seems like the wrong building part is drawn in the front, the 2.5D look is quite impressive.
Now, how does this compare to Qgis2threejs, one of the popular plugins which uses web technologies to render 3D content?
One obvious disadvantage of Qgis2threejs is that we cannot define a dedicated roof color. Thus the whole block is drawn in the same color.
On the other hand, Qgis2threejs does not suffer from the rendering order issues that we observe in the QGIS 2.5D renderer and the small towers in the building corners are correctly displayed as well:
QGIS 2.5D renderer and Qgis2threejs output
Overall, the 2.5D renderer is a really fun and exciting new feature. Besides the obvious building usecase, I’m sure we will see a lot of thematic maps making use of this as well.
Give it a try!
In the next post, I’m planning a more in-depth look into how the 2.5D renderer works. Here’s a small teaser of what’s possible if you are not afraid to get your hands dirty:
Ok so quick spoiler here: there is no QGIS 3.0 ready yet, nor will there be a QGIS 3.0 for some time. This article provides a bit more detail on the plans for QGIS 3.0. A few weeks ago I wrote about some of the considerations for the 3.0 release, so you may want to read that first before continuing with this article as I do not cover the same ground here.
A lot of consideration has gone into deciding what the approach will be for the development of QGIS 3.0. Unfortunately the first PSC vote regarding which proposal to follow was a split decision (4 for, 3 against, 1 abstention and 1 suggestion for an alternative in the discussion). During our PSC meeting this week we re-tabled the topic and eventually agreed on Jürgen Fischer’s proposal (Jürgen is a QGIS PSC Member and the QGIS Release Manager) by a much more unanimous…
Ok so quick spoiler here: there is no QGIS 3.0 ready yet, nor will there be a QGIS 3.0 for some time. This article provides a bit more detail on the plans for QGIS 3.0. A few weeks ago I wrote about some of the considerations for the 3.0 release, so you may want to read that first before continuing with this article as I do not cover the same ground here.
A lot of consideration has gone into deciding what the approach will be for the development of QGIS 3.0. Unfortunately the first PSC vote regarding which proposal to follow was a split decision (4 for, 3 against, 1 abstention and 1 suggestion for an alternative in the discussion). During our PSC meeting this week we re-tabled the topic and eventually agreed on Jürgen Fischer’s proposal (Jürgen is a QGIS PSC Member and the QGIS Release Manager) by a much more unanimous margin of 8 for, 1 neutral and 1 absent. Jürgen’s proposal is largely similar to the Proposal 2 described in my previous posting. I want to make some special notes here about our discussion and subsequent decision which will hopefully help to clarify the thinking behind our decision for other interested observers. First let me lay out Jürgen’s plan in his own words:
“My preferred approach would still be:
Do a Qt5/PyQt5/Python3 branch in parallel, actually work on it until it’s ready, make it master and release it as 3.0
Meantime keep working on master (2.x) and keep releasing them every 4 months as usual
Everyone can work on the branch (s)he wants (or is hired to), but needs to consider if (s)he want to do it (or spend funds on):
only for 2.x: knowing that it will be released soon; but might become unusable because platforms drop support for stuff it depends on sooner or later
only for 3.x: not knowing when that will ever release or
for both: knowing that work needs to be done twice.
People adding features to the master branch will be responsible to ensure that their work gets merged to 3.0 branch.
As PSC we should maintain the environment for people to do something for QGIS – but we cannot tell them to – so we don’t have resources we can actually plan with and that means we can either release something when the big thing is ready or what we have in fixed intervals.” – Jürgen Fischer
What follows are some further details and clarifications to our preferred approach:
Why do parallel development?
Parallel development of 3.0 maintaining our master branch with 2.x code in it has advantages and disadvantages. First the advantages:
If we encounter major technical difficulties / release blockers in the 3.0 branch, it will not impact on our normal 3 monthly release cycle.
Our binary build systems (Linux, Windows and OSX binaries) will be unaffected until 3.0 is ready.
It is very likely that building 3.0 binaries on different platforms is going to have difficulties for each platform. For example OSGEO4W has no Python3 and Qt5 packages yet. Someone needs to see to the creation of the required package as a separate exercise from the actuals development of a version of QGIS that will take advantage of these updated libraries. We don’t yet know what problems may be in countered in preparing these.
“Don’t break what already works”: we have a working and relatively stable master branch and we don’t want to do a ‘cowboy stunt’ and break it. We prefer to wait until the 3.0 branch is mature, has passing tests and is known to work well before merging it into master and treating it as our ‘best we currently have’ master branch.
Of course nothing in life is completely easy, there are also some disadvantages:
Some developers may feel that running two mainstream branches is dilution of effort. To counter this, our public recommendation is that after 2.16 comes out, all QGIS contributors are strongly encouraged to provide their patches against the 3.0 branch. Any features applied to the master branch is not guaranteed to be part of the 3.0 release.
Regular merging of master to the 3.0 branch may prove more and more difficult over time as the two branches diverge more. Again we will strongly encourage that developers submitting new features after the 2.16 release do so against the 3.0 branch.
3.0 branch won’t have auto build system for nightly binaries in the beginning. Since we expect that the initial branch of 3.0 will break these anyway, Having a separate branch is actually an advantage here as it will give binary packages some time to get their build systems up to speed.
To clarify things for developers wondering where to commit their work: we discourage people from writing new features in master after 2.16 is released and rather ask them to make their changes in the 3.0 branch. Only those who really need to see their features in the next 2.18 release would have to dual commit.
Isn’t it better to work on 3.0 in the master branch?
Some queries have been raised about whether it would be better to rather work on 3.0 in the ‘master branch’ and relegate the 2.x code base to a side branch (instead of our intended approach which is to keep master tracking 2.x until 3.0 is ready and then merge it to master). We feel that keeping master tracking the 2.x code base is more conservative – it will not break existing packaging / build systems and if there is any major hitch in 3.0 development the release process will continue unabated based on the 2.x code set. While 3.0 is under development, package builders will have time to figure out the packaging process while still keeping the regular nightly builds against 2.x running. The implication of this is that 2.18 may contain only bug fixes which were applied to the 2.x branch and no significant new features.
The schedule will not be fixed
One thing that we want to make really clear (and was a key point in our many discussions) is that there will be no fixed release date for QGIS version 3.0. There are several reasons for this:
As a steering committee, we can only set the QGIS ship pointing in a given direction, our power to actually make work happen is extremely limited. This is because we are a community made up largely of volunteer developers or developers working on a commission basis for third party clients. We have no say in how these contributors spend their time.
We do not yet know which (if any) major technical issues will be encountered during the development of 3.0. Any such issues could very well delay the roll out of QGIS 3.0.
Instead our plan is to make the 2.16 release and then effectively move all developer effort to the 3.0 branch as best we can (through close liaison with our developer community).
To clarify things for those wondering when they will give 3.0 to their users: The actual release date for 3.0 its interterminate, but the general aim is still to try to encourage everyone to get it ready for 1 year from now. Remember that as an open source community we cannot directly ensure that project timelines are met since our developer force is largely volunteer based or work according to their own companies agendas.
Will 3.0 be a Long Term Release (LTR)?
It is our recommendation that we wait until 3.2 is ready before designating it an LTR – there are going to be large changes in the code base for 3.0 and we would rather stabilise things a bit before applying the LTR label to the release.
Looking forward to 3.0
Personally I am very much looking forward to the release of QGIS 3.0 – it represents another huge milestone in our project, it affords us a great opportunity to get rid of a lot of cruft out of our code base and API’s and it will arm us with a set of modern, new libraries that will see us through the next several years. Rock on QGIS 3.0!
Processing just got a new testing framework to improve the long-term stability of this important plugin. And you can help to improve it, even if you are not a software developer! This is yet another piece in our never-stopping crusade to…
So here is an idea. Say you have a point layer that has a link to a static image from a web cam. Lets say it is a traffic camera for this use case.
We can use that feed to see the image in a browser. Cool. But what would be even cooler is if we could get the images into QGIS as markers without having to download each image each time for a update ourselves.
Turns out it’s pretty easy – could be easier no doubt but lets just go with this route for now. For this you will need: a custom expression function, and data defined SVG path locations. (We have to use SVG markers because QGIS doesn’t have image markers just yet)
Lets write that custom expression function. We need a SVG marker so lets set that for the layer and also edit the data defined path
Hit the New file button and define a new function called show_camera.
This will take the image feed, load it with the Python request library, base64 the image, stick the data in to a SVG, save the SVG to disk, and return the path to the new SVG.
We have to save to disk because QGIS can’t load SVGS from strings, although that would be a cool feature. I am also using base64 because a linked file SVG didn’t render in QGIS.
Once we have defined that we can use the function like so
show_camera( "url" )
looking at the output preview we have
Which looks right. Hit OK on the expression.
Before hitting Apply just make the size of the marker a little bigger as it will make the image to small to see, I used 35 for the demo. You should also pick a SVG marker from the list that is used as the default one if there is no valid path returned.
Hit Apply. Magic :)
The images are getting download and saved into C:\temp\camera for this demo but you could add some more magic around that.
Something to note is that each time you refresh the map you are making a bunch of web requests to get the new images. You could avoid this by tracking the image times and only grabbing new ones if a set time has elapsed. I will leave that up the reader, however here is a link to a Gist with the code if you wish to fork it
Big hat tip to QGIS and its multi threaded rendering that still allows you to continue to work while it renders and downloads the images in the background.
Hi! In this blog I describe how you can create proper parcels with polygon geometry in from polylines (parcel boundaries) and points (Parcel point with parcel attributes placed inside parcel boundaries). Since the 1st of januari 2016 a dataset named, BRK (Basis Registratie Kadaster) is available from PDOK. You can download these in GML format … Continue reading Generate parcels areas from parcel boundaries
From time to time, I read articles comparing ArcGIS vs QGIS. Since many of those articles are created from an ArcGIS user point of view, they invariably lead to biased observations on QGIS lack of features. It’s time for a QGIS user perspective, so bare with me on this (a bit) long, totally and openly biased post.
“Hello, my name is Alexandre, and I have been using… QGIS“
This is something I would say at an anonymous QGIS user therapy group. I’m willing to attend one of those because being recently and temporally forced to use ArcGIS Desktop again (don’t ask!), I really really really miss QGIS in many ways.
There was a time when I have used ArcGIS on the regular basis. I used it until version 9.3.1 and then decided to move away (toward the light) into QGIS (1.7.4 I think). At that time, I missed some (or even many?) ArcGIS features, but I was willing to accept it in exchange for the freedom of the Open Source philosophy. Since then, a lot have happened in the QGIS world, and I have been watching it closely. I would expect the same have happened in ArcGIS side, but, as far I can see, it didn’t.
I’m using top shelf ArcGIS Desktop Advanced and I’m struggling to do very basic tasks that simply are nonexistent in ArcGIS. So here’s my short list of QGIS functionalities that I’m longing for. For those of you that use ArcGIS exclusively, some of this features may catch you by surprise.
Warning: For those of you that use ArcGIS exclusively, some of this features may catch you by surprise.
“ArcGIS have transparency! It’s in the Display tab, in the layer’s properties dialog!”
Yes, but… you can only set transparency at the layer level. That is, either it’s all transparent, or it’s not…
In QGIS on the other end, you can set transparency at layer level, feature/symbol level, and color level. You can say that this is being overrated, but check the differences in the following images.
Notice that in QGIS you can set transparency at color level everywhere (or almost everywhere) there is a color to select. This includes annotations (like the ones in the image above), labels and composers items. You can even set transparency in colors by using the RGBA function in an expression! How sweet can that be?
This is one of QGIS’s pristine jewels. The ability to combine layers the way you would do in almost any design/photo editing software. At layer or at feature level, you can control how they will “interact” with other layers or features below. Besides the normal mode, QGIS offers 12 other blending modes: Lighten, Screen, Dodge, Darken, Multiply, Burn, Overlay, Soft light, Hard light, Difference, and Subtract. Check this page to know more about the math behind each one and this image for some examples
It’s not easy to grasp how can this be of any use for cartography before you try it yourself. I had the chance to play around while trying to answer this question.
A very common application for this functionality is when you want to add shadows to simulate the relief by putting a hill shade on top of other layers. In ArcGIS, you can only control the layer transparency, and the result is always a bit pale. But in QGIS, you can keep the strength of the original colors by using the multiply mode in the hill shade layer.
You can also use blending modes in the print composer items, allowing you to combine them with other items and textures. This gives you the opportunity to make more “artistic” things without the need to go post-processing in a design software.
Colour Picker Menu
Controlling color is a very important deal for a cartographer and QGIS allow you to control it like the professional you are. You can select your colours using many different interfaces. Interfaces that you might recognize from software like Inkscape, Photoshop, Gimp and others alike.
My favorite one is the color picker. Using color picker, you can pick colors from anywhere on your screen, either from QGIS itself or outside. This is quite handy and productive when you are trying to use a color from your map, it’s legend, a COLOURlovers palette or a company logo.
You can also copy/paste colors between dialogs, save and import color palettes, and you can even name a color and use it in a variable. With all this available for free, it’s hard to swallow Windows color selector😦.
Vector symbols renderers “powertools”
In ArcGIS, you have a few fancy ways to symbol your vector layers. You got: Single symbol, Unique values, Unique values many fields… and so on. At the first glance, you may think that QGIS lacks some of them. Believe me, it doesn’t! In fact, QGIS offers much more flexibility when you need to symbol your layers.
For starters, it allows you to use fields or expressions on any of the symbols renderers, while ArcGIS only allows the use of fields. Powered by hundreds of functions and the ability to create your owns in python, what you can do with the expression builder has no limits. This means, for instance, that you can combine, select, recalculate, normalize an infinite number of fields to create your own “values” (not to mention that you can tweak your values labels, making it ideal to create the legend).
And then, in QGIS, you have the special (and kinda very specific) renderers, that make you say “wooooh”. Like the Inverted polygons that allow you to fill the the outside of polygons (nice to mask other features), the Point displacement to show points that are too close to each others, and the Heatmap that will transform, ON-THE-FLY, all your points in a layer into a nice heatmap without the need to convert them to raster (and that will update as soon as you, or anyone else, edits the point features).
But I have left the best to the end. The “One rendered to Rule them all”, the Rule-based symbols. With the rule-based renderer, you can add several rules, group them in a tree structure, and set each one with a desired symbol. This gives QGIS users full control of their layer’s symbols, and, paired with expression builder and data-defined properties, opens the door to many wonderful applications.
One of my favorite (and missed) features in QGIS is the Map Composer’s Atlas. I know that ArcGIS has its own “Atlas”, the Data Driven Pages, but frankly, it’s simply not the same.
I believe you know the basic functionally that both software allow. You create a map layout and choose a vector layer as coverage, and it will create an output panned or zoomed for each of the layer’s feature. You can also add some labels that will change according to the layers attributes.
But in QGIS, things go a little bit further…
Basically, you can use coverage layer’s attributes and geometry anywhere you can use an expression. And, in QGIS, expressions are everywhere. That way, most layers and map composer items properties can be controlled by a single coverage layer.
So, if you pair Atlas it with QGIS data-defined properties, rule-based symbols and expressions, ArcGIS Data Driven Pages are no match. You don’t think so? Try to answer this question then.
Tip: If you really want to leverage your map production, using Spatialite or Postgis databases you can create the perfect atlas coverage layers from views that fit your needs. No data redundancy and they are always updated.
Label and Style dialogs
This one is more of a User Experience thing than an actual feature, but you won’t imagine how refreshing it is to have all Style and Labels options in two single dialogs (with several tabs, of course).
Using the symbol menu in ArcGIS makes me feel like if I’m in the Inception movie, at some point in time, I no longer know where the hell am I. For example, to apply a dashed outline in a fill symbol I needed to open 5 different dialogs, and then go back clicking OK, OK, OK, OK …
In QGIS, once in the properties menu, every setting is (almost) one click way. And you just need to press OK (or Apply ) once to see the result!
As an extra, you can copy/paste styles from one layer to another, making styling several layers even faster. And now you say:
“Don’t be silly! In ArcGIS you can import symbols from other layers too.”
Symbols? yes. Labels? No! And if you had lots of work setting your fancy labels, having to do the exact same/similar thing in another layer, it will make you wanna cry… I did.
(I think I will leave the multiple styles per layer vs data frames comparison for another time)
In a GIS world that, more and more, is evolving towards Open Data, Open Standards and OGC Web Services, this reveals a very mercantile approach by ESRI. If I were an ESRI customer, I would feel outraged. <sarcasm>Or maybe not… maybe I would thank the opportunity to yet invest some more money in it’s really advanced features…<\sarcasm>
In QGIS, like everything else, WFS is absolutely free (as in freedom, not free beer). All you need to do is add the WFS server’s URL, and you can add all the layers you want, with the absolute sure that they are as updated as you can get.
Fortunately for ArcGIS users with a low budget, they can easily make a request for a layer using the internet browser😛.
Or they can simply use QGIS to download it. But, in both cases, be aware that the layers won’t update themselves by magic.
I have already mentioned the use of expressions several times, but for those of you that do not know the expression Builder, I though I end my post with one of my all time favourite features in QGIS.
I do not know enough of ArcGIS expression builder to really criticize it. But, AFAIK, you can use it to create labels and to populate a field using the field calculator. I know that there are many functions that you can use (I have used just a few) but they are not visible to the common user (you probably need to consult the ArcGIS Desktop Help to know them all). And you can create your own functions in VBScript, Python, and JsScript.
On QGIS side, like I said before, the Expression Builder can be used almost everywhere, and this makes it very convenient for many different purposes. In terms of functions, you have hundreds of functions right there in the builder’s dialog, with the corresponding syntax help, and some examples. You also have the fields and values like in ArcGIS, and you even have a “recent expressions” group for re-using recent expressions with no the need to remember prior expression.
Besides, you can create your own functions using Python (no VBScript or JsScript). For this purpose, you have a separate tab with a function editor. The editor have code highlighting and save your functions in your user area, making it available for later use (even for other QGIS sessions).
These are certainly not the only QGIS features that I miss, and they are probably not the most limiting ones (for instance, not being able to fully work with Spatialite and Postgis databases will make, for sure, my life miserable in the near future), but they were the ones I noticed right away when I (re)open ArcGIS for the first time.
I also feel that, based on the QGIS current development momentum, with each QGIS Changelog, the list will grow very fast. And although I haven’t tested ArcGIS Pro, I don’t think ESRI will be able to keep the pace.
“Are there things I still miss from ArcGIS?” Sure. I miss CMYK color support while exporting maps, for instance. But not as much as I miss QGIS now. Besides, I know that those will be addressed sooner or later.
In the end, I kinda enjoyed the opportunity to go back to ArcGIS, as it reinforced the way I think about QGIS. It’s all about freedom! Not only the freedom to use the software (that I was already aware) but also the freedom to control software itself and it’s outputs. Maintaining the users friendliness for new users, a lot have been done to make power users life easier, and they feel very pleased with it (at least I am).
This year, just like in the previous years, we will have two developer-centric hackfests, where we invite coders, documenters, testers, graphic artists, translators, and anyone else who is interested in improving QGIS for the benefit of all our users:
The QGIS hackfests are an important aspect of the project, playing a key role in facilitating collaboration and planning within the community of developers and contributors who combine their efforts to put out three releases of QGIS each year. We rely on the goodwill and sponsorship of our grateful users and their host organisations to financially sustain the QGIS project. If you are in a position of influence, we ask you to please consider sponsoring QGIS to support this hackfest and other project related activities.
From March 2016 onwards, Dr. Markus Neteler, a prominent head of the Open Source GIS scene, will join the management board of mundialis GmbH & Co. KG in Bonn, Germany. Founded in 2015, mundialis combines remote sensing and satellite data analysis in the field of Big Data with Open Source WebGIS solutions.
Since 2008, Dr. Neteler was the head of the GIS and remote sensing unit at the Edmund Mach Foundation in Trento (Italy) and worked in this capacity on numerous projects related to biodiversity, environmental and agricultural research. He is also a founding member of the Open Source Geospatial Foundation (OSGeo), a nonprofit organization with headquarters in Delaware (USA), that promotes the development and use of free and open source geographic information systems (GIS). Since 1998 he coordinated the development of the well known GRASS GIS software project, a powerful Open Source GIS that supports processing of time series of several thousand raster, 3D raster or vector maps in a short time.
Markus will keep his role as “Mr. GRASS” at mundialis, especially because the company also sees itself as a research and development enterprise that puts its focus on the open source interfaces between geoinformation and remote sensing. Although a new company, mundialis offers more than 50 years of experience in GIS, due to the background of its management. Besides Neteler, there are Till Adams and Hinrich Paulsen, both at the same time the founders and CEOs of terrestris in Bonn, a company that develops Open Source GIS solutions since 2002. These many years of experience in the construction of WebGIS and Geoportal architectures using free software as well as in the application of common OGC standards – are now combined with mundialis’ expertise in the processing of big data with spatial reference and remote sensing data.