Digital Geography

Overview: R Cheat Sheets

raster cheat sheetRecently we had a discussion about where to find a nice cheat sheet (No! We are not talking about Simon the Sorcerer walk-throughs). Especially for scripting languages cheat sheets are an excellent way to support your learning attempts and are a handy tool for your every work in data visualisation, automation of tasks and analysis steps. So let’s have a look on R cheat sheets.

How to organize geodata storage?

Dataset example

In the past I’ve learned one thing: the only chance to do efficient geodata-projects is to have a clean data structure.
In this post I’ll show you some tools and share my thoughts about organizing (geo)data to have more efficient project-workflows. After that I would be very interested in your solutions and approaches to do smart data-projects.

The Geography of Tweets: Reading Tweets with QGIS

10.000 tweets in QGISAnita 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?

D3: My First Webmap

map with D3I always watched those stunning examples created with D3 by Mike Bostock, I liked Ralf’s blog posts here and I always thought to myself: get yourself together and create one for your own. But to say it straight: I haven’t figured it out… But yesterday I stumbled upon this nice, not so short post of MappingGIS.com and I would like to share my learning process here. So let’s start …

Happy B-Day QGIS2leaf

latimes.pngWhen 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!

AHP for ArcGIS 10.x using Python

Hierarchy

When it comes to site selection problems or suitability models, the spatial Multi-Criteria Analysis (Weighted Overlay) is the most commonly used method. It’s easy, simple and popular. However, if it’s your first time to come across this method, it’s highly recommended to have a look at this link. After defining the problem you want to solve, the next 4-steps are followed to perform this method. Determine significant layers. Reclassify the layers. Weight the input layers. Sum up the weighted layers My concern was always about how I can assign a weight to each layer in a kind of scientific way.…

Panorama Geodata eXtractor

Skärmbild från 2015-04-16 22:07:10

It’s been a while since I wrote here on DG, but I’ve been busy writing on my own blog in Swedish. However, now it’s time to reveal something I’m pretty pleased with, that you maby can use as well. A simple (well reasonably so) method to extract geodata from panoramic photographs, by using open javascript libraries, some javascript of my own and a lot of head scratching.

Some ways to produce high-res DEMs – tools and data

kaz

Many of us use digital elevation models (DEMs) for a whole bunch of different applications. There are some standard products which everyone should know, like SRTM1, SRTM3, ASTER, GLOBE or ETOPO1 for the land surface or GEBCO for bathymetry. However, they have a relatively low resolution and are therefore not suitable for all purposes. During the last few years there has been a huge progress in producing much better DEMs, especially local ones, using a wide range of techniques like LiDAR, photogrammetry, image correlation, structure-from-motion (SFM) etc. Some of these techniques make use of powerful, but expensive equipment (e.g., LiDAR),…

Introducing: My personal application list

tilemill exportOnce again I switched from Windows back to Ubuntu as I only needed Win for my granted ESRI license but hated to be “interrupted” by automatic updates, missing dll libraries and crashing flash container plugins on Firefox. So now I am building my personal computational slave once again based on Ubuntu and wanted to share with you my list of applications that I need for my daily work with geodata, matrices, graphics, cartographic outputs and statistical analysis.

Open Data in the UK

lidar D

The Ordnance Survey is UK’s mapping agency and frequently releases free datasets. Their OpenData policy is quite progressive compared to Germany’s and they’ve recently published some fresh datasets that anyone can use. All you need to do is to register and to acknowledge them. The new datasets are: OS Open Map – Local; OS Open Names; OS Open Rivers; and OS Open Roads. They include data on urban and rural features, an index for all the location names in the UK, a generalised open water network, UK’s connected road network and much more. All this adds up to their existing…

Landsat in Love with QGIS: the newest coup from Luca

landsat previewThe 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” .
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