Mapping the risks : assessing the homeland security implications of publicly available geospatial information
Assesses the homeland security implications of publicly available geospatial data and information. Following the attacks of September 11, 2001, many agencies within the federal government began restricting some of their publicly available geospatial data and information from such sources as the World Wide Web. As time passes, however, decisionmakers have begun to ask whether and how such information specifically helps potential attackers, including terrorists, to select U.S. homeland sites and prepare for better attacks. The research detailed in this book aims to assist decisionmakers tasked with the responsibility of choosing which geospatial information to make available and which to restrict.
Libraries as Distributors of Geospatial Data: Data Management Policies as Tools for Managing Partnerships
Libraries can bring substantial expertise to bear on the collection, curation, and distribution of digital geospatial information, making them trusted and competent partners for organizations that wish to distribute geospatial data. By developing a well-thought-out data management and distribution policy, libraries can define the parameters of a data distribution partnership and reinforce a data provider's confidence in the library's role as a data custodian and distributor. In developing a policy, data distributors are advised to consider such issues as intellectual property rights, liability issues, distribution methods and services, data and metadata management practices, security risks posed by geospatial data, and user limitations. This article describes the most common elements of data sharing and distribution agreements and describes the development of a data management policy for the Cornell University Geospatial Information Repository (CUGIR).
Fast seismic data compression based on high-efficiency SPIHT
Based on the set positioning in hierarchical tree (SPIHT) algorithm, fast seismic data compression based on the high-efficiency SPIHT (HESPIHT) algorithm is presented. To verify the validity of the algorithm, 10 seismic cross-sections are selected for the experiment. The result shows that the algorithm can reserve the quality of data better, meanwhile improving the efficiency of encoding and decoding.