Research : GIScience
The PGIST project is studying how Geographic Information Systems (GIS) and Internet technologies can improve public participation in transportation decision making. We are working with regional agencies and stakeholders to develop and evaluate on-line tools for expanding public participation in transportation improvement programming for the central Puget Sound region. We aim to improve peoples ability to express their views and expand their knowledge, in order to come to a shared understanding about transportation related concerns, and then voice choices about project recommendations.
Space-Time Analysis of Regional Systems (STARS) is an open source package designed for the analysis of areal data measured over time. STARS brings together a number of recently developed methods of space-time analysis into a user-friendly graphical environment offering an array of dynamically linked graphical views. It is intended to be used as an exploratory data analysis tool.
This project seeks to enhance the utility of remote sensing data by developing Web-based data warehousing, on-line mapping tools and analytic functions. These services will be provided through user subscription and linked to shared data bases.
The development of software agents is a recent trend in both distributed computing research and geographic information science (GIScience). Software agents can help users access distributed data objects and programs on heterogeneous geographic information systems (GIS) platforms by interpreting, filtering, and converting information automatically. This project aims to facilitate the understanding of the role of software agents in distributed geographic information services (GIServices) and introduce the research of software agents to the GIScience community.
The purpose of this project is to utilize state-of-the-art Java programming technology, mobile GIS application software (ArcPad 6.0, ArcIMS 4.0, and Image Web Server), global positional systems (GPS), and wireless networking technologies (IEEE 802.11b, Wi-Fi standard) to provide park rangers and other resource mangers with integrated mobile geospatial information services that will support and help optimize their field-based management tasks.
This web site (http://map.sdsu.edu) was created immediately on October 27 (Monday morning) to provide web mapping services for helping our local community. This site is updated daily and provides maps of the San Diego wildfires with various live ArcIMS web mapping services, static maps, and research articles. Most maps on this site have been created by the faculty, staff, and students in the Department of Geography, San Diego State University.
NASA Earth Science Research, Education and Applications Solution Network (REASON): A Border Spatial Decision Support System
The objective of this NASA Earth Science REASoN (Research, Education and Applications Solution Network) project is to assist in the development a border Spatial decision support system (BSDSS) for allocating and deploying resources to secure the U.S. borders. A team of security agents with the U.S. Border Security, state and local law enforcement and resource protection agencies, researchers from San Diego State University (SDSU), and remote sensing technology companies are collaborating on this project.
Optimization of Remote Sensing Networks for Time-sensitive Detection of Fine Scale Damage to Critical Infrastructure
The focus of this study is on assessing damage to infrastructure following a major hazard event using airborne remote sensing. The premise is that some infrastructure, particular in cities, is so critical to saving human lives and supporting emergency response actions that near real-time information on the damage status of such infrastructure is essential and yet may be difficult to ascertain with conventional, ground observations and sensor networks. We hypothesize that the solution to this post-hazard information access challenge is to design flexible, ready-to-deploy, time-sensitive remote sensing systems (TSRSS) based on a network of airborne platforms and digital cameras. Our team is collaborating on research pertaining to important elements of end-to-end TSRSS that supports post-disaster assessment of damage to critical infrastructure and allocation of emergency response resources.