For Our Mapathon Volunteers and Potential Volunteers!

From Open Street Map

Posted by dekstop on 2 December 2015 in English (English)

I had a recent shift in perspective in my research of HOT contributor engagement. I will try to articulate a growing intuition: a sense that current-generation HOT tools and processes would do well to also recognise the secondary benefits HOT volunteers get from their participation, for example their social experiences. I think we currently don’t necessarily create social online spaces for new contributors, and that is an omission of some consequence. In contrast to Wikipedia and comparable platforms, HOT contributors are not also typically the primary beneficiaries of the collective output. Secondary benefits can make up for this lack in direct utility: they have important motivational power.

As usual, please let me know your thoughts on this. It’s informed by my own experiences of the HOT and Missing Maps community, and I am very curious to learn what I might have overlooked, how else to express it, or find other ways to look at things.

Continue reading For Our Mapathon Volunteers and Potential Volunteers!

Coursera Certificate in DATA SCIENCE

The Most Coveted Coursera Certificates

When you share your Course or Specialization Certificate on LinkedIn, you’re showing employers that you have the motivation and talent to complete rigorous courses from a top university. Take a look back at the most-shared Certificates of 2015*, and enroll now to add in-demand skills to your resume in the new year.


Johns Hopkins

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

coursera data science

The Future of the Map – The Maps of the Future

International Map Industry Association

New and innovative technologies have an important impact into what cartographers are doing. In the geospatial domains we can witness, that more spatial data than ever is produced currently. Numerous sensors of all kinds are available, measuring values, storing them in databases which are linked to other databases being embedded in whole spatial data infrastructures, following standards and accepted rules. We can witness also that we are not short of ever more new modern technologies for all parts of the spatial data handling processes, including data acquisition (e.g. UAVs currently), data modelling (e.g. service oriented architectures, cloud computing), data visualisation and dissemination (e.g. Location-based Services, augmented reality). So, where are we now with all those brave new developments?

Obviously we are not short of data in many ways. Clearly we can state, that it is rather the opposite. The problem is often not that we don’t have enough data but rather too many. We need to make more and more efforts, to deal with all those data in an efficient sense, mining the relevant information and link and select the appropriate information for a particular scenario. This phenomenon is being described as “big data”. Often application developments start there. Because we have access to data, we make something with them. We link them, we analyse them, we produce applications out of them. I call this a data-driven approach.

Continue reading The Future of the Map – The Maps of the Future