The IV/LAB distributes and/or contributes to a number of
publicly available software tools and datasets. Click here for a complete
list. The following projects have been supported by this
"Visualization by Sketching" grant.
This tutorial will provide the steps necessary to load the
NAM forecast dataset into Visualization by Sketching. This
tutorial is for OSX 10.11 or greater.
- Download this zip file.
- Unzip the contents into your ~/Documents/ directory.
This should result in a directory named
~/Documents/visualization-by-sketching/ (Visualization-by-Sketching requires this directory exists in order to run).
- Install Visualization-by-Sketching.
- Make sure you have Fortran installed. You can install
fortran by installing gcc with the third-party brew:
brew install gcc
GRIB is a meteorological data format. In order to uncompress
our dataset, we will need to build GRIB, including the
optional IPOLATES tool. Here are the steps we used to
- Edit line 91 to say:
- Edit line 146 to say:
- Save and close the makefile.
- Go to the grib directory:
- List the contents of the gcc lib directory:
The listed result is the gcc version number. For us, the version was 5. If your version is different, make the appropriate change in the next step.
- Set the following environment variables. This is how we
did it using bash:
- Build GRIB:
Build Tutorial Tools
- In the terminal, run the build.sh script:
- In the terminal, run the download_latest.sh script:
- In the terminal, run the process.py script:
Load Dataset into Visualization-by-Sketching
- Open Visualization-by-Sketching.app
- Press ⌘L to load a dataset.
- Navigate to
~/Documents/visualization-by-sketching/data/NAM/ and select
the Index.txt file.
- You should now be able to add layers to begin sketching
- Press ⌘O to open a visketch Sketch file.
- Navigate to
~/Documents/visualization-by-sketching/sketches/ and select