speranza@uoregon.eduOctober 28, 2020 at 1:53 am · Reply →
Maybe look at graphic heirarchy. Exaggerate the floating text or numbers via the multiplication component. Maybe some real big. I still wonder how to hit upon the human scale qualities in the images. Can the colors be obvious once it’s set in the visuals?
How to increase the dataset to maybe compare to non black owned locations to understand the patterns of use.
speranza@uoregon.eduOctober 28, 2020 at 1:53 am · Reply →
Maybe look at graphic heirarchy. Exaggerate the floating text or numbers via the multiplication component. Maybe some real big. I still wonder how to hit upon the human scale qualities in the images. Can the colors be obvious once it’s set in the visuals?
How to increase the dataset to maybe compare to non black owned locations to understand the patterns of use.
Maybe look at graphic heirarchy. Exaggerate the floating text or numbers via the multiplication component. Maybe some real big. I still wonder how to hit upon the human scale qualities in the images. Can the colors be obvious once it’s set in the visuals?
How to increase the dataset to maybe compare to non black owned locations to understand the patterns of use.
Maybe look at graphic heirarchy. Exaggerate the floating text or numbers via the multiplication component. Maybe some real big. I still wonder how to hit upon the human scale qualities in the images. Can the colors be obvious once it’s set in the visuals?
How to increase the dataset to maybe compare to non black owned locations to understand the patterns of use.