Club Meetings and Activities

Club Officers Sought

Several of the club's officers are graduating which leaves officer vancanies. You got what it takes to be a GIS Club officer? It's not that tough and it fills out a resume nicely. E-mail GISClub@UWM.edu for more info.

Future Club Activities

Your club officers are working on plans for future club activities. If there's some aspect of GIS that you'd like the club to work on, e-mail the club at GISClub@UWM.edu.

For more information see our Meetings page.

Club Officers

Jana Viel
Julee Mitchell
Keith Krukowski
Martin Ziech

Notices and Events

Geospatial Information and Technology Association (GITA) Meeting-5/14/15

The Wisconsin Chapter of the Geospatial Information and Technology Association (GITA) invites you to see the latest developments in mobile computing.  Learn about advances in mobile hardware, GIS software and wireless communications, an expected way of doing business in today’s utility.  See presentations by Esri, Continental Mapping, Panasonic, Mobile Mounting Solutions, Seiler Instruments, and PSE&G.  There will be “live” demonstration of an Unmanned Aerial Vehicle (UAV) in Alliant’s parking lot.

The meeting runs from 9 AM to 2 PM at Alliant Energy, 4902 Biltmore Lane, Madison, Wisc. No registration cost, lunch included. Register by 5/11/15 by e-mail to Thomas Tym.


Kern Park Solar Analysis

Client: Peter Trio

Need: To visualize the amount of sunlight falling on a hypothetical building site in Kern Park.

Description: In late January 2012, Peter asked the GIS Club to help him with an Architecture 420 project. He was designing a hypotetical school in Kern Park. He need to know the intensity and pattern of sunlight falling across the park throughout the year. Peter used the solar analysis that the club did for the UWM Food and Garden Club in his design for food gardens near the Sandburg residence halls. See details of his plans at his web site, ObjectiveArchitecture.com.

Results: The club used the ERSI Spatial Analyst Solar Analyst tool to determine the total solar energy during each month. We started with LIDAR data from the Milwaukee County Land Information Office. In this raster image, elevation is mapped to graytones. The lighter tones indicate greater elevation. Streets are symbolized by solid white lines. The Milwaukee River flows through the right side of the frame.

LIDAR


We then used the Solar Analyst to build a raster for each month, symbolizing the direct solar energy, in watts/square meter, accumlating during each month. This process combined the elevation of the terrain, trees, and buildings with the postion of the sun to model the path of shadows during each day in the month, thus translating

In the raster images that follow, lighter graytones indicate more solar energy. The images begin with January in the upper left, followed by February in the upper right, through December in the lower right.

 
Jan Feb
Mar Apr
May Jun
Jul Aug
Sep Oct
Nov Dec

From this, Peter could see how the sunlight, and solar energy, varied during the year as a guide to placing his structure.