Digital Geography

Short Announcement: Landsat 8 Data Users Handbook

cirrus example taken from Landsat 8 Data Users Handbook . 8 is the successful successor of Landsat 5/ Landsat 7. It was launched on February 11, 2013. Since then we saw a major increase in possibilities of getting access to the data and integrations in software packages. Now the USGS published an in-depth document to support the basic understanding for the Landsat 8 observatory and its science data products.

Attention: QGIS 2.10 is coming!

QGIS 2.10Four months ago QGIS 2.8 was released. The Long Term Release will be suppported for the next 2 years. Besides this LTR version QGIS is updated in a four month cycle. So let’s say hello to QGIS 2.10.

First images from recently launched Sentinel 2 satellite

French Riviera

The earth observation satellite Sentinel-2 with Sentinel-2A and Sentinel 2B was launched on June 23rd 2015 from space centre Kourou in French Guiana. The mission is part of the Copernicus mission by ESA. The liftoff was recorded by ESA and can be watched here. Sentinel will be a complement to the multispectral satellites of the Landsat mission and SPOT. All observation systems in combination reveal a higher temporal resolution by shifted orbits and large stripe widths (Sentinel: 290km). Sentinel has a repetition rate of 10 days, Landsat 8 of 16 days but in combination with Landsat 7 a 8 day…

Pros and Cons of using Smartphone as a GPS Tool

Image for GPS and Smartphone

In a statistical report entitled US Smartphone Use in 2015, it revealed that some 88 percent of American smartphone owners use their handset as a map or navigation device. There are various ways on how you can utilize your handset as a GPS device, either through its built-in map features or via other downloadable applications. If you are one of those planning to maximize their smartphone as a GPS locator, here are the pros and cons of using your handset as a digital geographical tool.

Routing in QGIS… with OSM

OSM routingRouting with Google is quite cool as the database/network is probably the best currently available. But the terms of services limit the possible usage. So what about OpenStreetMap? By figuring out how to use OSM for routing I found it much easier to get routes into QGIS with OSM compared to the Google way. Check it out….

new word-based coordinate system

mobile view of what3words app

A few days ago I saw an announcement about what3words, a new startup which claims to have invented the simplest way to communicate a location. This statement forced me to have a closer look into their new coordinate system, because to communicate a location systematically with words isn’t easy. In order to organize venues or other meeting places, we’re often talking about locations and geographic places. A popular way is it to announce street corners to define meant places.

CSV to SHP with Python

Attributes after shp creation from csvPython is a well established script language in the GIS/geodata world. And as a Facebook friend asked how to read csvs with Python I thought about “How to convert a csv to a shp with Python?”. Keeping in mind that most GPS solutions and many internet tools offers a csv export and it’s common in any stats/spreadsheet program this can be a handy solution for your everyday life. See my solution here…

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 and I would like to share my learning process here. So let’s start …