Importing Data

Clicking the "Import data..." button in the umi results viewer allows the importation of arbitrary data into an umi project. A new window will be shown:

Click "Browse..." and navigate to the .csv file describing the data you want to import. The file format is such that each column represents a data series to import. The first row should be a building name, the second should be a metric name, the third should be metric units, and the rest are series entries. (This is the same format in which data is exported from the viewer via the "Export displayed data..." button.) Once a file is selected, umi will parse it and display the metrics it found:

Make sure the "Import?" checkbox is checked for each series you want, and click "Import selected info" to import the data into the current project. (If a series is assigned to a building name that does not exist in the current document, its "Import?" checkbox wil be greyed out and disabled.) These data can now been plotted in the viewer.

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In Short

Umi is a Rhino-based design environment for architects and urban planners interested in modeling the environmental performance of neighborhoods and cities with respect to operational and embodied energy use, walkability and daylighting potential. Since 2012, Umi has been  developed by the Sustainable Design Lab at the Massachusetts Institute of Technology with support from a National Science Foundation EFRI_SEED project, the MIT Energy Initiative, the Kuwait-MIT Center, the Center for Complex Engineering Systems (CCES) at KACST and MIT, Transsolar Climate Engineering and United Technologies Corporation. Further tool developed is now also being conducted at the Environmental Systems Lab at Cornell University.

A first public version of Umi was released during a public symposium on Sustainable Urban Design on May 6th 2013 at the Massachusetts Institute of Technology. Version 2.0, which also includes an embodied energy module, was released on November 7th 2014.

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