IGISc Recent Projects

The Low Income Investment Fund (LIIF) of San Francisco is leveraging webmap technology to create more efficient management practices of child care facilities and encourage an open and collaborative process. The Child Care Internet Mapping Project was developed in response to this move towards the development of effective management strategies for the hundreds of child care facilities throughout the City and County of San Francisco. An ArcGIS Server-powered website provides LIIF and its partners with the ability to spatially query, identify, and generate reports on child care facilities in relation to specific cultural, demographic, and physical features of the City and County of San Francisco. Department/Affiliate: Geography, Low Income Investment Fund (CCSF)

Project Lead: Seth Hiatt
Project Staff: Barry Nickel and Jesse Cohen

In order to improve campus planning, accessability, safety, and maintenance operations, the IGISc has partnered with campus Facilities and Accesibility Offices to develop an interactive map for use by campus students, employees, and visitors. The interface will allow users to query, for instance, building and room locations, event venues, tree species, entrances, or select the most efficient routes between locations. A demo version is currently available. For more information contact Seth Hiatt.

Project Lead: Seth Hiatt
Project Staff: Anne McTavish

COSMIC is a constellation of satellites used to measure climate variables such as temperature and water vapor at different altitudes. In order to make the data easier to access and analyze, the IGISc is using Python and PostGIS to store and deliver the data to users via an internet mapping application. Users will be able to select data sets based on location, time, and altitude, and download the data in a format that is easily read in a GIS or statistical package such as R.

Changes in climate impact the frequency and quality of cloud coverage, and in turn the amount and quality of sunlight reaching the surface of the earth. Equations derived from observerd data collected at carbon flux towers are being applied to gridded global datasets derived from MODIS satellite imagery in order to investigate how the global carbon budget might be effected by changes in cloud coverage associated with anthropogenic climate change.
Project Lead: Andrew Oliphant
Project Staff: William Goedecke