Green innovations used in the project include extensive use of electronic lighting controls and occupancy sensors in the rooms and a sophisticated building management system. This digital control system regulates the air handling and exhaust systems. Baker also features a 23 kw (kilowatt) photovoltaic system, which provides window shading to the south side of the building. The building extensively utilizes recycled building materials, maximizes the use of natural lighting and recovers storm water from the roof for gray water applications. Four 1,000-gallon storage tanks have been installed in the basement of Baker Lab to collect rainwater from the roof. The water will be used in the building's cooling towers.
With the recent advances in computer hardware and software with the ability to work with spatial data as well as the relativly easy availability of GeoSpatial data such as planametric data, image data of USGS quadtrangle maps (Topo maps) of various scale, satillite data from various platforms of various resolutions and structure, color and panametric orthophotographs, etc. the ability to carry out various kinds of analyses for scientific, management (natural resources, envrionment, engineering, etc.), and ???? purposes is now more efficeint than it has ever been.
By GeoSpatial we mean that all of this data relates to a specific location on Earth or other planets in our solar system (Mars in particular). Some of the benefits of using spatial information are the ability to visualize spatial relations, study temporal changes, "freeze" action in dynamic processes, study large (global) processes as well as localized ones, and the ability to "model" problems in easily understandable ways. All of these benefits of using spatial data lead to better understanding and more effective management (decision making). The most common method for exploiting geospatial data is to use a geographic information system (GIS). A GIS is a software system for collecting, storing, retrieving, manipulating, managing, analyzing, and displaying spatial data. GIS is a tool that has broad relevance to environmental science, management, and monitoring, at many scales of analysis. Geospatial Modeling and Analysis (GMA) is concerned with the integration of spatial analysis procedures and spatail data for the solution of problems.
Instruction in GMA at The College of Environmental Science and Forestry (ESF) seeks to produce informed, qualified, and professional scientists, managers, decision makers, problem solvers, and designers. A diverse collection of courses and experience provides flexible approaches to learning that ranges from broad knowledge to detailed expertise.
Research in GMA at ESF is developing new ways to collect and use geospatial data. Combined with ESF's world-renowned environmental expertise, GMA helps to generate fundamental knowledge about the world and contribute to more comprehensive management of natural and cultural resources. GMA uses an interdisciplinary problem solving approach that includes elements of mapping sciences, geography, mathematics, information management, and system analysis.
Collecting, processing, and displaying spatial data has a long tradition at ESF through field work, creating digital spatial data from manuscript maps, collected field data with spatial coordinates, photointerpretation of aerial photographs, orthophotos (aerial photos rectified so that geographic locations are correctly protrayed --photogrammetry), and remote sensing.