This first blog post I will use to quickly fill in the gaps of what I’ve said I’m aiming to do and what I’ve actually done.
I have been playing around with starting a blog for a while and I must admit it is more for me to keep track of what I’m doing and how I’m doing it than for anyone else. I think my aim is to keep my digital ideas categorized separately so those with a lot more experience can quickly skip over the pain staking things and only read the (hopefully) interesting results or ideas of what I’m doing.
So to begin I am about to embark on my first project of modelling the private chambers at Bodiam Castle. These can be seen in this image (thanks to Prof. Matthew Johnson for the photo)
To start on this I took part in a two week field season in April 2011. I worked with Penny Copeland, James Miles, Pete Wheeler and the Arch2024 students to produce the east elevation of the castle using a total station connected to AutoCAD using TheoLT.
This completed elevation I proceeded to import into 3ds max. I will be using the survey data as a guide to shape my model of the rooms. I am currently exploring different methods of building up the shape of the rooms (the position of the walls and their heights). I have tried using lines to draw around the edges and am also experimenting using Standard primitives and using them to create Pro-Boolean objects. I am also trying to begin to cut holes into these completed walls as I think this will help determine which option is better suited.
I have also been thinking about the issues associated with the data. The survey data is incredibly detailed because of this I am having a hard time making decisions about how closely I should follow it and also how to interpret a number of the lines. This has led to lots of discussion with Alice Watterson (http://digitaldirtvirtualpasts.wordpress.com/) about the process of reconstruction and how we can bridge the gap between our observation of the site today in the present, and our visualisation of the past. It has also led to me questioning how I can fill in the gaps of my data (where walls no longer exist) and how I can build this uncertainty into my visualizations.