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
Campus Web Map
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.
Impact of Light Diffusion on Ecosystem Productivity
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
Project Lead: Andrew Oliphant
Project Staff: William Goedecke
Copyright © 2010 Department
of Geography and Human Environmental Studies, San Francisco State University,
All Rights Reserved.