Cindy and I, who are not tech savvy at all, have been working with what feels like a million data sets.

Our process is outlined below:

– What we were looking for?

– How we were going to explain it?

-How it related to our research?

How were we going to visualize it?

The first question was the easiest. We knew what we wanted to share, we did not know how to share it visually. Vilem Flusser says, “Changing image to text is magical”, but I tend to think text to image can also be very magical.

Of course Step 1: attending a DH Fellows Presentation ( if you have no  clue about the software, this is the way to go)

Step 2: Working with the software to understand how it will tell your story

Step 3: going to the Data sets. the one for us was https://nycopendata.socrata.com/

Ste 4: Finding the right program for our story. For us it ended up being CartoDB, I mentioned neatline in another post,but as you will see in  the next step that did not work.

Step 5: Exporting the data in a way that it would map without a lot of commands. We tried exporting a number of data sets that did not work for us. It would import as a polygon or with null and  who knew how to georeference that? Then it would not map. Only the shape files seemed to map easily.

Step 6 : Find more data that would tell the story

Step 7: Once we found the data, finally mapping the data

Step 8: Making the data make sense for the viewer

Today in class we will show our final  project of geomapping

How ICT impacts student learning? Does income and location impact whether students can achieve?

Our project will be displayed in cartodb.

Stay Tuned

The Neatline Presentation by David McClure was very impressive. Learning how to add pictures and drawing explanations to your map is orality and textuality bridged into one.  It is amazing to be able to really express the data in a way that anyone can understand. By using Neatline,  I am able to reach a larger audience for my research.  It tells a story by using popups to explain your picture when you hover over the area of the map. This will be really useful in future presentations. I am hoping to use this as a way to express my dissertation one day soon.

Stay tuned for the process that Cindy and I had to go through to get to the first part of our project using Neatline.

Selena

After listening to the presentations of Manovich, Jones ,the NYPL,  and Scheinfeldt, attending the Fellows workshops on geospatial mapping and neatline, and seeing the presentations of several classmates, I  began to see the light at the end of the tunnel.  It was and still is a process. I am slowly visualizing my project in mapping form.

My visualization process flowed in this order:

First,  the presentations of the experts helped to solidify the process. If you do not understand command line and other languages, it is best to find someone who has the background or the software that seems the most user friendly.   Second, is making your project grant worthy for the funder. Third, is really delving in and playing around with the different programs to see which one better suits your project needs.  After attending the Fellow  workshops with Micki, Michelle and finally David Mcluren from Neatline, the very last one I might add.  This is the one that seemed to present the best visualization that I am interested in for my research.

Cindy and I are working on a Data Project for our respective research projects and we have similar interest and so we are working together to hopefully present something that will one day receive funding.

Thank you for a well-rounded approach for the less tech savvy student.

Selena