This presentation, given at the QQML 2014 conference in Istanbul, describes a collaborative Google mapping project between the University of Arkansas Libraries and the University's Office of International Students and Scholars (OISS). Using data on the current number of international students by country of origin provided by the OISS, we created a graduated color world map visualizing this information with Google Fusion Tables. The resulting map has been embedded in a web page on the OISS website and displayed on a large touch-screen panel in the student union during International Education Week. This presentation gives step-by-step instructions for easily creating such maps - a service which libraries might offer as a basis for campus outreach and collaborative projects.
1. Making Maps for Campus Collaborations
2014 International QQML Conference, Istanbul
Kate Dougherty, University of Arkansas
2. International Students Map
• Map of University of Arkansas international
students by country
• Library’s Diversity Committee outreach to the
Office of International Students & Scholars (OISS)
• Embedded in OISS website; large panel in Union
• Semester basis – 3 maps to date
4. Google Fusion Tables
• Extension to Google Drive;
Beta
• Upload a table of your
own data
– Visualize as a chart, graph
or map
– Or, merge or “fuse” your
data with a public dataset
on Google Drive
5. Prepared Excel Spreadsheet
• Entered zeroes in blank
spaces
• Made sure numbers are
formatted as numbers
• Added a column for the
3-letter ISO country
codes
10. Default Map
View
• Points in center of each
country
• We wanted: countries
colored in, with intensity
reflecting no. of
students
• Additional step: merge
our table with a public
dataset having country
outlines
12. View Suggested Tables
• By default, Google
suggests public tables
matching on the
leftmost column.
• ISO code in our case
13. Choosing a Public Table
• Needed 100% matching
rows across both tables
(all countries in orig.
spreadsheet)
• Previewed with "view
table" link
• Looked for geographic
keywords: “KML”,
“geometry”, lat/long etc.
14. Preview Public Table: No Map Info
• This table just has
country names
and codes
• No lat/long or
geographic
keywords
• Moving on…
15. Searching for Public Tables
• Keyword search:
– “borders"
– "boundaries"
– "international”
• Looked for
geographic
keywords in
results
• Preview table
36. Other Potential Collaborative Projects
• Campus sustainability
projects and green
buildings
• Study abroad
• Language programs
• Rare book exhibits
• Teaching faculty’s field work
locations, intl. fellowships
or conference presentations
• Offer to embed
interactive maps in
course/topic LibGuides
– Greek & German sites
for Intro to Philosophy
– History
– Archaeology
– Important geologic sites
Google Drive is Google’s cloud-based document storage, sharing and re-use platform.
So first we prepared our spreadsheet, which involved…
Previewed and confirmed our column headers.
Google prompts for a table name, export permissions, a data attribution and table description. The attribution fields are limited to one source, and we had three, so we added that information to the description.
So on the right is what our imported table looks like. Google auto-detects and highlights location information. So Google knows the countries are locations, and has automatically added a map view. As I mentioned before, FT allows you to visualize your data in different ways, and you can do this by adding tabs for different views.
Borders can be represented in a table by lat/long coordinates for each point, or vertex.
So the next step was to find a publicly available table submitted by someone else that had that info, and that can be done under the File menu.
…that’s the unique identifier for each country, which would be the best way to match…
“Geometry” may not sound like a geographic term, but features on a map are based on geometry/shapes: points for cities, lines for roads, and polygons for borders.
So this is one of the tables we previewed, and you can see it just has…
So we didn’t find any suggested tables that met our criteria, so we did a keyword search, using terms like…
So we previewed the table and saw that there’s a geometry column with KML info, and the one next to it is the “geometry vertex count” or number of vertices in each boundary. There’s also lat/long. It looked great, so we took a look at the map tab…
Automatically zooms really far out so it looks weird at first – need to zoom in to a larger scale before you can see the boundaries.
So they all looked uniform at this point, but after merging our table with this one we would be able to shade each country by total # of students.
So we went ahead and chose this table…
And matched them up based on the 3-letter ISO code field.
Click on the link to view your new, merged table that will appear when Google has completed the merge.
So this was our new, joined table with the headers for the new columns highlighted…we then looked at the map view…
This screen shot is zoomed out a bit far, but it still looks like the first version – just points. We then had to change the feature style to polygon.
…but they were still uniformly colored. There are a few options for changing this – the easiest is to use a gradient.
So that’s what we tried first, and this is what it looks like, but it doesn’t let you exclude zero values, and we wanted countries with zero students to appear transparent. So we used buckets instead, which give you a lot more control…
So we used a custom number of “buckets” for our values, and specified the column we wanted those values to come from. The shading defaults to a value range of 1-100, and we had to click the link for “use this rage” to specify that we wanted to use the actual range of data in that column, rather than a 1-100 scale.
And we were able to create a “bucket” just for zero values and make it transparent.
So we styled our features, and the next step was to style the information window.
You can remove columns from the display just by unchecking them here.
And if you’re so inclined, you can also go to the “Custom” tab to style the window with HTML.
So that’s it – this is how the finished map looks.
So at this point we shared the map. There are actually 2 steps to doing this…first, we used the share button…
…and changed its status to “public on the web”.
Then we had to “publish” it to get embed code and a link.
So some other potential projects that could be done with this include…