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.
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.
In one of the biggest groups of geoscientists in Germany, Austria and Switzerland the question arose how to do a raster comparison in ArcGIS. I’ve already mentioned some aspects of it in a short article with QGIS but let’s take a look on how to do this with ArcGIS and concentrate on the analysis more than on the data.
Today I received an interesting E-mail from Pennstate University which pointed towards an upcoming MOOC with a more or less special focus: Geospatial Intelligence. The title is Geospatial Intelligence & the Geospatial Revolution: Learn how the revolution in geospatial technology combined with the tradecraft of Geospatial Intelligence (GEOINT) have changed how we develop insights about how humans use geography, and discover the power of GEOINT. So let’s have a look at.
After some uncertainty about the setup and the infrastructure of the first ESRI MOOC on the linkedin group and on the ESRI forum I was able to go through the first week of the ESRI MOOC today. So what you may expect?!
We love leaflet. In fact we have done some great projects with this nice little piece of code like our job-map. As I’ve checked the news from leaflet: they have released version 0.7 into the wilderness of the internet. So what’s new?
< p align=”justify”>Digital elevation models (DEMs) exist today for the entire globe with consistent quality. Improvements in sensors and data processing give a clue that in the future elevation data will be available in even better spatial resolution and accuracy. Discovering the richness of information inherent in DEMs should thus be supported by good software. Here, I want to give a brief account of TopoToolbox 2, the second version of a MATLAB toolbox for exploring and analyzing DEMs. Dirk Scherler from Caltech and I have been working on many changes to the previous version to make TopoToolbox faster, more memory…
As I came across this short post about image classification in QGIS I was surprised to see this first line: “For this, Unsupervised KMeans image classification module from OTB has been used.” I haven’t heard about OTB and its usage in QGIS so I was curious.