Club Meetings and Activities

 

Thanks for a great spring semester!

Thanks to everyone who participated in the GIS club during the spring semester. Watch here for news about club summer activities.

Catch up on what happened in the club during the last semester.

Got a favorite pothole?


The GIS Club has started its work on the Milwaukee Pothole Mapping project. Download the free MapplerK (not Mappler-K) app from the Apple app store or from the Google Play store then get the log-in details at the project's web site.

See a pothole and map it with Mappler. It's easy and fun.

Watch here for Milwaukee Pothole Mapping project updates.

Club Officers

Hugh Christie
Jana Viel
Julee Mitchell
Patience Farmer

Notices and Events

USGIS 2014 Symposium
May 19-21, 2014, Pasadena, Calif.

GIS-Pro 2014 - URISA's 52nd Annual Conference
September 8-11, 2014, New Orleans, Louisiana

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.