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In order to simplify the installation of the latest PDAL release (Point Data Abstraction Library, version 1.6.0) on Fedora, I have created an updated set of RPM packages now including vertical datums and grids (.gtx files from ). The installation is as simple as this (the repository is located at Fedora’s ): # enable extra repos to satisfy dependencies sudo dnf copr enable neteler/pdal-hexer sudo dnf copr enable neteler/points2grid # install dependencies sudo dnf install hexer sudo dnf install points2grid # enable and install PDAL sudo dnf copr enable neteler/pdal sudo dnf install PDAL PDAL-devel PDAL-vdatums # run PDAL: pdal-config -version pdal -help Enjoy! The post appeared first on. What’s new in a nutshell After four months of development the new update release GRASS GIS 7.2.1 is available. It provides more than 150 stability fixes and manual improvements compared to the first stable release version 7.2.0. An overview of new features in this release series is available.
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About GRASS GIS 7: Its graphical user interface supports the user to make complex GIS operations as simple as possible. The permits users to create new GRASS GIS-Python modules in a simple way while yet obtaining powerful and fast modules. Furthermore, the libraries were again significantly improved for speed and efficiency, along with support for. A lot of effort has been invested to standardize parameter and flag names. Finally, GRASS GIS 7 comes with a series of new modules to analyse raster and vector data, along with a full temporal framework. For a detailed overview, see the list of.
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As a stable release series, 7.2.x enjoys long-term support. Binaries/Installer download:. winGRASS 7.2.1:. winGRASS 7.2.1 OSGeo4W – testing area:.: RHEL6/Centos6/Scientific Linux6.: RHEL7/Centos7/Scientific Linux7. (xenial, trusty). further binary packages for other Linux distributions and Mac OSX will follow shortly, please check.
Source code download:. To get the GRASS GIS 7.2.1 source code directly from SVN, see. More details: See also our detailed announcement. (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.
Codman service manual. 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, May 2017 The post appeared first on. We are looking forward to a hot geo summer here in Central Europe with both the German FOSSGIS (this year in conjunction with the annual AGIT conference) and the international FOSS4G just a few weeks away. It’s going to be exciting, and I still have a lot of talks (and a ) to prep for both events;-) If you speak German and want to enhance your geo skills, the FOSSGIS program offers some great opportunities and there is still the chance to sign up for a couple of great:.
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The QGIS project’s own Otto Dassau is running a workshop, as well as a. For more hands-on training with the makers themselves, don’t miss Marco Hugentobler’s and Pirmin Kalberer’s. If you want to become a professional with projections, Claas Leiner’s workshop covers dealing with custom transformations. Claas is also running a on Wednesday. Of course the program also features many non-QGIS workshops. If I’d have to pick one of them, it would most certainly be Marc Jansen’s and because it’s always great to get the latest information first hand, directly from the developers. Online registration closes on June 25th.
Last week I had the pleasure to attend the combined, and GIForum conferences in Salzburg. It was a great joint event bringing together GIS user and developers from industry and academia, working with both open source and commercial GIS. I was particularly impressed by the great FOSSGIS video team. Their tireless work makes it possible to (in German). I also had the pleasure to give a few presentations. Most of all, it was an honor to give the AGIT opening keynote, which I dedicated to Open Source, Open Data & Open Science. In addition, I also gave one talk related to an ongoing research project on pedestrian routing.
It was really interesting to see that other people – in particular from the OSM community – also talked about this problem during FOSSGIS: To wrap up this great week, Astrid Emde, Andreas Hocevar, and myself took the chance to celebrate the 10th anniversary of OSGeo during. Full house at os geoday with @ @ and myself, celebrating 10 years — Anita Graser (@underdarkGIS) And last but not least, I presented an update from the QGIS project with news about the 3.0 plans and a list of (highly subjective) top new features. Someone wrote to me asking if it would be possible to generate an file from a single band raster layer in QGIS. No doubt there are more efficient ways (this approach is pretty slow but it works), but I thought it would be fun to show how you can iterate over a raster, writing out the value of each cell into a text file (along with the centroid coordinates for that cell). To use the script, you should save it to your local machine, then open the python console and load the script in the python editor. Next select a single band raster and then run the script in the editor.
If your raster is quite large, it will take some time to run. I have spent zero time trying to optimise the script – if someone has an idea for doing it faster, send me a patch and I will update the example above. The generated output dataset will look something like this: Longitude,Latitude,VI 8.8,7.1,10 8.3,7.1,16 8.8,7.1,18 8.8,7.,15 8.3,7.,17 8.8,7.,24 8.3,7.,46 8.8,7.,47. The resulting script can be used with programs like or loaded back into QGIS as a vector layer using the Delimited Text provider.
Sometimes you want to automatically generate a report to reflect the latest state of your data. For example you may be capturing spatial data into a PostGIS database and want a snapshot of that every few hours expressed as a pdf report. This example shows you how you can quickly generate a pdf based on a QGIS project (.qgs file) and a QGIS template (.qpt file). Using this approach you can generate all kinds of useful outputs without ever needing to open QGIS each time you generate the report. Simply create the needed project and template files and then run it like this: python generatepdf.py.
The GRASS GIS Development team has announced the release of the new major version GRASS GIS 7.0.0. This version provides many new functionalities including spatio-temporal database support, image segmentation, estimation of evapotranspiration and emissivity from satellite imagery, automatic line vertex densification during reprojection, more LIDAR support and a strongly improved graphical user interface experience.
GRASS GIS 7.0.0 also offers significantly improved performance for many raster and vector modules: “Many processes that would take hours now take less than a minute, even on my small laptop!” explains Markus Neteler, the coordinator of the development team composed of academics and GIS professionals from around the world. The software is available for Linux, MS-Windows, Mac OSX and other operating systems. Detailed announcement and software download: 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 post appeared first on.
I have been a long time Ubuntu user (I have actually been using it since Ubuntu 4.10 ‘Warty Warthog’) – the first official release. The advent of Ubuntu saw an end to my distro hopping whilst looking for the ‘perfect linux distro’. Recently though, Ubuntu has been losing momentum in my opinion – especially in terms of supporting the latest Gnome desktop editions and catering for those of us who like to use a leading edge platform for our developer workstations. I was particularly curious to see if QGIS runs nicely under Wayland, the next-generation graphics environment for Linux.
I have been using docker heavily for the last year and have come to the point where I feel that the underlying Linux flavour is less important since I can fairly arbitrarily deploy applications in docker containers using whichever flavour of Linux inside the container is most convenient. Thus I decided to try and see how easy it would be to get Fedora 21 installed on my MacBook 13″ Laptop which was running Ubuntu quite nicely until now. In the Gist below, I detail the various installation steps I took to get my standard suite of applications installed.
Cdpedia for mac. These include:. docker. QGIS compilation build chain. PyCharm 4.
Shutter. Skype. QtCreator / QtDesigner etc. btsync.
Google Chrome. vlc and assorted video codecs.
keepassx. Elegance gnome theme (must-have if you use Gnome!) I will keep the above Gist updated as I tweak my configuration, but by and large the migration to Fedora has been fairly painless and I am enjoying working on the latest Gnome desktop. I was able to replicate pretty much all of the application stack I ran on Ubuntu, though in some cases the setup & installation of applications was a little more complex than on Ubuntu, and in one case (btsync-gtk-gui) I have not yet found a binary installation package. In the new release of QGIS 2.6.0 a series of new features have been added concerning. General: new features and bugfixes,.
DXF export (improvements),. Map Composer (enhancements),. Processing (including a new modeler implementation),. QGIS Server (improvements),.
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Symbology (including user interface improvements),. User Interface with improvements. A is available for more details with lots of screenshots. Congratulations to all QGIS developers! Looking forward to see the Fedora RPM available You can download QGIS 2.6 at The post appeared first on. We are pleased to announce that the 50th ICA-OSGeo Lab has been established at the (Piattaforma GIS & Remote Sensing, PGIS), Research and Innovation Centre (CRI), Fondazione Edmund Mach (FEM), Italy. CRI is a multifaceted research organization established in 2008 under the umbrella of FEM, a private research foundation funded by the government of Autonomous Province of Trento.
CRI focuses on studies and innovations in the fields of agriculture, nutrition, and environment, with the aim to generate new sharing knowledge and to contribute to economic growth, social development and the overall improvement of quality of life. The mission of the PGIS unit is to develop and provide multi-scale approaches for the description of 2-, 3- and 4-dimensional biological systems and processes. Core activities of the unit include acquisition, processing and validation of geo-physical, ecological and spatial datasets collected within various research projects and monitoring activities, along with advanced scientific analysis and data management.
These studies involve multi-decadal change analysis of various ecological and physical parameters from continental to landscape level using satellite imagery and other climatic layers. The lab focuses on the geostatistical analysis of such information layers, the creation and processing of indicators, and the production of ecological, landscape genetics, eco-epidemiological and physiological models. The team pursues actively the development of innovative methods and their implementation in a GIS framework including the time series analysis of proximal and remote sensing data. The GIS and Remote Sensing Unit (PGIS) members strongly support the which is perfectly in line with academic research. PGIS contributes extensively to the open source software development in geospatial (main contributors to GRASS GIS), often collaborating with various other developers and researchers around the globe. In the new ICA-OSGeo lab at FEM international PhD students, university students and trainees are present. PGIS is focused on knowledge dissemination of open source tools through a series of courses designed for specific user requirement (schools, universities, research institutes), blogs, workshops and conferences.
Their recent publication in Trends in Ecology and Evolution underlines the need on using Free and Open Source Software (FOSS) for completely open science. Markus Neteler, who is leading the group since its formation, has two decades of experience in developing and promoting open source GIS software. Being founding member of the Open Source Geospatial Foundation (OSGeo.org, USA), he served on its board of directors from 2006-2011. Hd disney wallpapers for mac. Luca Delucchi, focal point and responsible person for the new ICA-OSGeo Lab is member of the board of directors of the Associazione Italiana per l’Informazione Geografica Libera (GFOSS.it, the Italian Local Chapter of OSGeo).
He contributes to several Free and Open Source software and open data projects as developer and trainer. Details about the GIS and Remote Sensing Unit at Open Source Geospatial Foundation ( OSGeo) is a not-for-profit organisation founded in 2006 whose mission is to support and promote the collaborative development of open source geospatial technologies and data. International Cartographic Association ( ICA) is the world authoritative body for cartography and GIScience. See also the new. This weekend I implemented a new feature for my 'just for fun' project.
The feature implements timeline reporting for Open Street Map contributors. Its probably easiest to explain with a screenshot: Here is another one showing a few charts together: I added the feature because I wanted to see how many person days were involved in data gathering for a particular area and feature type. It does have some limitations - it ignores deletion and ownership transfer of features. It does however provide a nice quick overview of effort.
Try it on your own neighbourhood and see how much work went into the OSM coverage for your area! I've also had some really awesome contributions from Yohan Bonifiace (added leaflet support, feature type switching, extent urls) and Sun Ning (added heatmap support).
Its really great making a small, simple and limited scope project and seeing it grow with random hacks of kindness from strangers! Here is a little screenshot of the heatmap feature: I hope you all enjoy the new version, and look forward to more improvements and suggestions from the community. Its all freely available from my. You can test out the current version of the software by visiting. A quick from the QGIS documentation team today on the mailing list. The QGIS 1.8 manual is now available in HTML and PDF form. HTML manual can be found at: PDF manual at: This has been part of an ongoing effort from the documentation team since before the 1.8 release to bring our all our documentation into reStructedText rather then LaTeX.
Moving to reStructedText allows quicker updates and a larger range of final output formats. I would like to thank everyone who has been involved in this process as I know what a grueling process updating documentation can be. Community notice Just remember you don’t have to be a programmer to contribute to an open source project. If you think you could contribute to the updating of the QGIS documentation please contact the team on the. Filed under:, Tagged:,.
As QGIS is such a fast moving project I have decided to make this a regular blog post in order to highlight some new features added to QGIS. Xplorer2 style finder replacement for mac. If you haven’t already, don’t forget to check out.
Remember that some of these features may still only be new which might change between now and the next official released version. With that out of the way lets get listing. Atlas integration If you are a regular user of QGIS Python plugins, and who isn’t, then you would have used the awesome Atlas plugin developed by Vincent Picavet. This great tool can be used to generate mapbooks, or an atlas as some people like to say, using a coverage layer and a print composer. What makes this even more awesome is that it is now built into the print composer. Atlas composer intergration The builtin atlas function also gives you the ability to use an expression to do runtime text replacement, including access to all the fields on the coverage layer. The coverage layer doesn’t even have to be a region layer, it can be a simple point layer, or even a line layer.
You can see the result of me running the atlas generation from the above example Big thanks to for integrating this great feature, and the companies sponsoring the work. New Python console This new addition comes from the great work that has been doing to add a better Python console to QGIS. The new Python console includes attribute auto complete, syntax highlighting, better copy and paste, uploading to codepad, the ability to run code from a file, etc.
You don’t realise how much difference there is until you go back to using the old one in version 1.8. New Python console Tabbed and groups in builtin forms One of the things I really loved about QGIS, coming from MapInfo, was the builtin forms.
Just having the ability to enter data using controls like combo boxes, calendar widgets, etc makes you one step closer to having better data. This feature is the exact reason I setup a 67 year old for.
As good as they are the builtin forms have an issue of ending up with as a big scrolling list with lots of fields; also the lack of the ability to group or put fields on tabs in the UI meant you had to create a custom form. Well not any more.
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There is now a combo box on the Fields tab that allows you to build a generated form but also add tabs and group boxes. You can even have the same field shown more then once on the form, handy for something like an ID field that you would like to show on each tab. With this new ability the builtin forms can get me 95% of the way for data entry jobs, the other 5% I just make a custom form – but that is very rare. Sextante Sextante is a great and powerful analytical framework that has been added to the core of QGIS thanks to Victor Olaya. This is not a feature that I use a lot but this is only due to most of my work being in development and not analysis, however that doesn’t mean that it’s not a really cool feature.
One of the greatest things about the Sextante toolbox is that it allows you to integrate other great open source tools like GRASS, SAGA, R, OTB, etc, right into your QGIS workflow and view the results in the canvas. It even includes a modeller so that you can build a connected diagram of all the bits of your process, even if it crosses between programs. The toolbox For me what is even better is that you can use Sextante in your plugins or custom Python code. Sextante has a Python interface – well the whole thing is written in Python – that you can use to run a Sextante supported algorithm. Import sextante outputs0=sextante.runalg('grass:v.crossbones', /file, 0, 1, 2, 3, 4, 1=3.0,2=8.0,5=6.0,8=6.0,11=6.0,14=6.0, None) outputs1=sextante.runalg('grass:v.delaunay', outputs0'output', True, True, None) outputs2=sextante.runalg('grass:v.dissolve', outputs0'output', None) Victor has created a blog to cover some Sextante recipes. There are also some really cool example of Sextante in use at:.
Massive amount of composer additions This last feature, or rather feature set, comes from the sponsorship and support of the, and the. Most of this work was done to aid in the development of a new QGIS plugin called, which has also received some great praise “(InaSAFE) is very beneficial for all of us. It’s a good example of our partnership.” Dr Susilo Bambang Yudhoyono – President of Indonesia Some of the improvements include:.
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A new loadFromTemplate method, in the API, that can do text replacement in the QGIS composer template. Better support for EPSG:4326 scale bars. Multipage in one composer. Automatic overview frame in map frame.
HTML frame. Zebra style grid frame border. More control of grid labels. Inside, outside, disabled. etc, etc These are great additions to the QGIS composer and I have already used the overview frame feature along with the new atlas integration to make some quick nice looking map books.
A huge thanks to the, and the, and all the developers included. Taylor swift reputation zip download. You can see some of the output that InaSAFE generates using some of these new features at P.S The World Bank also sponsored the new raster Save As. Ability just like we have for vector layers. Filed under:, Tagged:,.
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