GMA at SUNY ESF

"The new source of power is not money in the hands of the few but information in the hands of the many (Naisbitt, Megatrends)." With recent advances in computer hardware and software, as well as successful launches of several commercial satellite systems, data (information) is available like never before.

Nearly all of this data relates to a specific location on Earth (New York City, Mount Everest, Pacific Ocean), and is thus considered geospatial. Some of the benefits of using spatial information are the ability to visualize spatial relations, archive data to study temporal changes, ability to "freeze" action in dynamic processes, ability to study large (global) processes as well as localized ones, and ability to "model" problems in easily understandable ways. All of these benefits of using spatial data lead to better understanding and more effective management or decisions. The most common method for exploiting geospatial data is to use a geographic information system (GIS). A GIS is an automated computer hardware and 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. The term, geospatial modeling and analysis (GMA), seeks to recognize this broader context and the integrating nature of spatial approaches.

Instruction in GMA at The State University of New York, 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 generates fundamental knowledge about the world and contributes 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, photointerpretation, photogrammetry, and remote sensing. Currently, modern computer equipment is revolutionizing the analysis process. Creating a spatial database was, until quite recently, a very labor intensive and time consuming process, that limited applicability. Now, powered by an explosion of relatively easy to use Geographic Information Systems, integration of spatial data is more efficient and effective. With GIS and other technologies, more complex analysis can occur, increasing the applicability and accessibility of GMA. As a result, GMA is integrated into the Faculties of Environmental Resources and Forest Engineering, Environmental and Forest Biology, Environmental Studies, Forestry, and Landscape Architecture.