Anita showed some nice examples of tweets in QGIS in 2012. Since then it seemed to be quiet about the twitter-content in QGIS. Yet tweets can be an interesting source of information. Sometimes they can tell you something about the spatiotemporal dimensions regarding a keyword, the digital heartbeat of a defined region and many more. Yet we need to be careful with the data as it is completely biased. But how to get this data stream into QGIS?Since I developed qgis2leaf together with some great supporters we always struggled with sharing a qgis project: we use different layers, different visualizations and so on. It’s not easy to make sure you’re talking about the same. So why not make it possible to export a whole qgs project with one click…When I started to work on QGIS2leaf about one year ago it was a nice idea and my first real dive into Python programming and using the possibilities of pyqgis. So what is the current state and where are we going? Please, come and take a look: Happy Birthday QGIS2leaf!The normal way of getting Landsat data for your GIS projects often was: visit a Landsat data mart like landcover.org, earthexplorer or WIST, search for your area and time and download/order your desired data. Once you’ve done this, you were prepared to add, analyse and publish this data/results with QGIS. Luca Congedo from the blog “From GIS to Remote Sensing” .
To map excel data onto a print- or webmap is one of the most needed and chosen data preparations. Companies and scientists are often highly interested in located table datasets on maps. In this how to I’ll show you, that this job could be done with free and open source software like QGIS.
A few days ago I saw Franz Leonardo’s post on the ArcGIS group on facebook: He visualised wind speed and direction in ArcGIS for a wind map and I thought by myself: let’s do it with QGIS… Here is the tutorial which covers some aspects of interpolation, symbol levels, classification and formulas…QGIS 2.8 (the new “Long Term Release”) was released a few days ago. It is a minor release according to the changelog but it will be supported in this setup at least for the next year: Some good news for all those working in a bigger, administrated environment as it is always a problem to update software in these bigger infrastructures. New features: >1000 issues flagged by static analysis tools fixed new code commits and pull requests are now automatically tests against our testing framework. more responsive browser support for contextual WMS legend graphics custom prefixes for joins creation of…So I came across this nice little project which focussed on trip planning and route over large distances… And there was this nice little post from Nathan Yau at flowingdata.com where he describes the making of great circles from one point to different other points in R and the other example from Anita Graser where she shows how to deal with an Arc in QGIS but using postgis functionality. So what about QGIS itself and a programmatic way? See yourself…
When working with raster datasets, it is hard to keep an overview of the raster files in use and their coverage. Most raster data providers may keep metadata in the filename itself, like path, row and a timestamp. But for more convenience, it is possible to create an index of your raster maps. This article will show you, how to accomplish this in QGIS or with the Terminal.
Often the usage of GIS never touches the world of programming and I think a lot of GIS users today feel fine with using simple tools and try to avoid tools like Python for their daily work. Despite any prejudices regarding programming, Python can be a big help in your basic tasks and is a very easy scripting language to learn. So let us check out Python in ArcGIS and QGIS with a buffer analysis as an easy example. Nevertheless I recommend to take some coding lessons in Python using CodeAcademy.Yesterday I received the mail from Anita Graser’s blog about the best 10 articles on QGIS planet. Therefore I decided to have a look on our own top ten list of most read articles this year. And I have to admit: It’s not the open source world who leads this list…QGIS 2.6 landed recently on this planet and it already brought great improvements to our daily work with geodata, the way we publish our results and the convenience in our workflows. But due to the very ambitious release plan of the QGIS core team and the great work of Klas we can have a look at the upcoming features in QGIS 2.8 major version already. Check em out:
I’ve been experimenting with very short QGIS tips on YouTube, and if you like them I’ll continue to create them. They may or may not reveal something extraordinary, and if you have an idea of something worth creating a short video on, leave a comment or send me an e-mail, tweet, or whatever.
When it comes to webmapping there are thousands of possible markers you can choose from but when it comes to markers depending on the data, which is inside the shapefile, possibilities are more limited. In leaflet you can define different icons according to the attributes of your data by defining the icon url in an attribute. Let me show you, how to use the data in each feature to create a custom icon like a piechart marker using R.