For Haleh and Sunny

• Laura's stuff
1. Laura's attribute to visual feature mapping procedures


2. LOCAL Min/Max Weather vis. comparision study images (VERSION 4)


3. Legends VERSION 5


4. Segmented temperature values after spatial segmentation, VERSION 2
   Note: Valid values are between 0 and 1 (not .5 -1). Most will NOT contain 0 or 1 pixels, but you should use these exact values. Data is already normalized. No normalizing should be done again on the files, because these are AVERAGE values for the region, which is what I use to visualize the data.

Format:Files are 2D csv files, 122 columns x 61 rows
There's a comma between each value, except those at the end of a row, which are followed by \n.
Top-down data, like you sent me. In other words, the first row you read corresponds to the northern-most row of data.
-9999 indicates a pixel with invalid data.


5. Segmented temperature values after spatial segmentation for TRAINING DATA


6. TRAINING DATA images


7. Pics


• Haleh's repository
1. Max value ground truths
2. Cluster answers
• Sunny's repository
1. Greyscale pics
2. Excel shot

• Engagement study images

• Engagement study forms

Sun_temperature	Lar_temperature	Hal_temperature

Thumbnails:

Sun_temperature	Sun wind speed	Sun vapor pressure	Sun precipitation

Lar temperature (segmented)	Lar wind speed	Lar vapor pressure	Lar precipitation

Lar_temperature

Lar wind speed

Lar vapor pressure

Lar precip

Lar temperature before segementation