This week we are going to dive into the archives and begin gathering data for our projects on the first 50 years of Carleton’s campus history. In class we had a visit from librarians Heather and Tom to introduce us to the collections and reinforce to us the importance of metadata. They have set up a course guide for us that should be your starting point for entry into the archival holdings.
They have also provided us with guidance on how to translate the metadata found in the archives into the standard Dublin Core metadata schema employed by Omeka. We will eventually be building a collection in an Omeka site, but IT is still setting up our server so we’ll start (as many good DH projects do) gathering data on a simple spreadsheet that you should have access to in Google Drive.
- Metadata Guidelines for Dublin Core to consult as you gather information for our project
- Data Entry Spreadsheet for first pass of data gathering.
- Go to File > Make a Copy and enter your data on your own instance.
For this first pass, you are each going to choose a building that was built before 1916 to research and try to model in SketchUp. Happily, there were 14 such buildings and there are 14 of you. Sign up for your building on the following sheet and then hit the archives.
- Carleton College Buildings pre-1916 list and sign up sheet
Once you have chosen a building do the following:
- Search all the different archival databases to find as many images of your physical building as you can find and start moving them into our database (spreadsheet), matching the metadata fields to the Dublin Core fields that we will use in Omeka.
- Find the earliest photos you can that give you a viewpoint on two perpendicular faces of the building and use them to create a new Photo Match model in SketchUp
As always, post your progress on your blog to share updates and thoughts on your process, or hit the comments section on the course site if you have any questions.
We will be using SketchUp’s Match Photo technique to create our models of historic buildings on Carleton’s campus, which we went over together briefly in class. The clearest step-by-step introduction I’ve found to the Match Photo technique of geomodeling is several years old but the basic principles still apply. The first link takes you to step-by-step instructions for the process using a photo of a barn as an example, and the next two link to videos walking through the same example.
- Step-by-Step: Match Photo: Modeling from Photos
- Video Tutorials: Part I, Creating a new Photo Match and Part II, Modeling with Photo Match
The two videos below are more recent match photo tutorials that show how to incorporate multiple photos, but skip over some of the basic steps outlined above.
The other method often used to model existing buildings is the “Extruded Footprint” technique, which has the benefit of georeferencing your model with Google Earth from the outset. If your building is still standing and visible in Google satellite imagery, then this method might work as a starting point for you, but it won’t provide the level of detail we want unless you combine it with matched photos to add the photo textures and architectural elements. The video below offers an excellent introduction to how these two techniques can be combined to produce an accurate model, in the same way we practiced together in class.
- Video Tutorial: SketchUp Match Photo video combining Google Earth footprint and photographs
We are primarily interested in exteriors for this class, but if you find floor plans or architectural blue prints for your building in the archives and want to go nuts and try to start modeling a version with the interior walls, go for it. Here are a few basic resources to get you started.
- Quick how-to overview of the process: How to build a building starting from a floor plan in SketchUp
- Much more detailed and long-winded video on Modeling a floor plan
Finally, masterSketchUp.com has compiled a handy list of 10 tips every SketchUp modeler should know.