For all those who are interested in the GIS, there is approaching a very big event coming to Hamburg this year – Intergeo 2016. It is the world’s leading trade fair and conference for geodesy, geoinformation and land management. This year it will take place from October 11 – 13 in Hamburg.
Since our last tutorial regarding georeferencing images in QGIS is 4 years old, let us have a second look at this task in the current times of QGIS 2.16. For this tutorial we will use a Soviet map of Crewe in England to see changes in city structure with a snapshot from 1957. We will use simple and quite easy affine transformations for this purpose.
The coup/attempt in Turkey kept me up from going to sleep after the two nice hours of “Back to the Future” on German television. So despite of the tragedy behind it: twitter was exploding as I watched the news coming in. I was interested in the timeline of tweets, locations and “everything”. I downloaded about 10Gb of twitter data and here is my analysis for everything ‘#turkey’ from Friday till Monday.
Studying geosciences, geography or geology and all related disciplines commonly ends in the question of appropriate job position. Personally I felt very lucky about my former studies in geography, but it was also very complex to understand the Earth system. This led to my conclusion that defining and finding a job could be difficult. In conclusion to friends, who studied law, medicine ore teaching profession, my way into employment wasn’t so clearly predefined in a certain way. Even more: I saw this fact as advantage and big luck to be forced to creativity concerning job definition. Especially for Geoscientists the…
Until now I tried to ignore the worldwide Pokémon Go hype. But as the mobile game consists more or less of a map and some geo-related content, we should mention it here on Digital-Geography.com. Produced by Niantic, Pokémon Go is an augmented reality game where the player can gather or breed Pokémon and fight against other players on real world map. Some functionalities are also just working when you are walking, so that it’s important to stay outside, which could have a positive impact on health of video gamers 🙂 Here you can download the Pokémon Go app for iOS…
The recent move from the Mongolian Post to use W3W as their new address system shed a new light on the question: Where are addresses located and how to get the correct position of an address in your GIS. In this article I would like to show different possibilities in QGIS, ArcGIS and Leaflet. This post references also mappinggis.
You probably seen this already (maybe on your very own PC as well): A folder with shape files. Well we’re living in the 21st century and I do have and use those folders still. After a talk of Sebastian Meier at Maptime Berlin I was convinced and started to work with a databases instead of folders. So let me show you how to install PostgreSQL along with PostGIS on Ubuntu and Windows, how to get data into it, import OSM data and how to connect it with QGIS/ArcGIS.
The cloud has made it easier to process large amount of data, and satellite imagery processing benefits from cloud processing too. One of the cloud services that offers access to satellite images, and abilities to process them in the cloud – no more need to download it to your computer and process it there – is Amazon Web Services. If you’ve never worked with cloud processing, getting started with AWS can be a bit daunting. This tutorial gives beginners an introduction to accessing satellite images – Landsat and Sentinel-2 – on AWS.
If you create maps you always need to ask yourself: how can I make it as easy as possible to read and still have anything I need in my map… or in short: reduction and abstraction. There are different approaches out there when it comes to web maps. Let me show you how to reduce the number of map elements with a slider in leaflet to filter your data interactively.
Sentinel-2 is the optical satellite of the Copernicus programme. It can be compared to Landsat, although it has a better resolution, of 10 to 20 meters. We’ll be using it for crop monitoring with simple vegetation indices.
What’s GDAL? GDAL is the Geospatial Data Abstraction Library, it’s a library to transform raster and vector data and it’s the Swiss Knife of GIS. Topography and bathymetry digital elevation models can easily be handled using GDAL.
Last time we had the task to create mountain ranges polygons for the whole world. I prepared a small tutorial referred to that. Maybe you can find something interesting for you. It will show you a model on how to select defined regions, slicing raster, smoothing and also exporting desired features. Enjoy!
I often find myself in a situation where I want to work with large areas and datasets of OpenStreetMap data. No matter if you want to use them in a QGIS map or create custom map tiles in Tilemill, with the Overpass API you quickly run into performance issues. Imposm is a great tool to overcome that situation, so you can load OSM extracts (worldfiles in pbf format) with a custom data mapping into a PostGIS enabled PostgreSQL database. The downside: It is hard to set up if you are not a database and system admin guru. This is where…
I am somehow a messy guy. After 3 years now my OS was a bit “stuffed” and I decided to go with the flow, erased the whole HDD and installed the new Ubuntu 16.04. LTS Xenial Xerus. Aside from being a Linux user I also work a lot on Windows PCs. SO what tools do I use on my systems that are needed for my everyday GIS / geo-developer tasks? Let me show you my list: