A Research Agenda For Geographic Information Science

A close relationship exists between GIS and numerous applications, including cartography, photogrammetry, geodesy, surveying, computer and information science, and statistics, among others. Scientists coined the term "geographic information science (GIScience)" to describe the theory behind these fields. A Research Agenda for Geographic Information

Comprehensive and authoritative baseline geospatial data content is crucial to the nation and to the U.S. Geological Survey (USGS). The USGS founded its Center of Excellence for Geospatial Information Science (CEGIS) in 2006 to develop and distribute national geospatial data assets in a fast-moving information technology environment. In order to fulfill this mission, the USGS asked the National Research Council to assess current GIScience capabilities at the USGS, identify current and future needs for GIScience capabilities, recommend strategies for strengthening these capabilities and for collaborating with others to maximize research productivity, and make recommendations regarding the most effective research areas for CEGIS to pursue. With an initial focus on improving the capabilities of The National Map, the report recommends three priority research areas for CEGIS: information access and dissemination, data integration, and data models, and further identifies research topics within these areas that CEGIS should pursue. To address these research topics, CEGIS needs a sustainable research management process that involves a portfolio of collaborative research that balances short and long term goals.

A close relationship exists between GIS and numerous applications, including cartography, photogrammetry, geodesy, surveying, computer and information science, and statistics, among others. Scientists coined the term "geographic information science (GIScience)" to describe the theory behind these fields. A Research Agenda for Geographic Information

This Research Agenda explores the future of spatial analysis, and how the field informs and challenges the policy landscape. A wide range of contributors from different intellectual communities address the problem of causality in geographic analysis, arguing that diversity is crucial for the future success of the discipline. This title contains one or more Open Access chapters.

This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography.

Geographic information systems (GIS), the Global Positioning System (GPS), remote sensing, and other information technologies have all changed the nature of work in the mapping sciences and in the professions, industries, and institutions that depend on them for basic research and education. Today, geographic information systems have become central to the ways thousands of government agencies, private companies, and not-for-profit organizations do business. However, the supply of GIS/GIScience professionals has not kept pace with the demand generated by growing needs for more and improved geographic information systems and for more robust geographic data. Beyond Mapping assesses the state of mapping sciences at the beginning of the twenty-first century and identifies the critical national needs for GIS/GIScience professionals. It examines the forces that drive and accompany the need for GIS/GIScience professionals, including technological change, demand for geographic information, and changes in organizations. It assesses education and research needs, including essential training and education, new curriculum challenges and responses, quality assurance in education and training, and organizational challenges. Some of the report's recommendations include more collaboration among academic disciplines, private companies, and government agencies; the implementation of GIS/GIScience at all levels of education; and the development of a coherent, comprehensive research agenda for the mapping sciences.

Learning to Think Spatially examines how spatial thinking might be incorporated into existing standards-based instruction across the school curriculum. Spatial thinking must be recognized as a fundamental part of Kâ€"12 education and as an integrator and a facilitator for problem solving across the curriculum. With advances in computing technologies and the increasing availability of geospatial data, spatial thinking will play a significant role in the information-based economy of the twenty-first century. Using appropriately designed support systems tailored to the Kâ€"12 context, spatial thinking can be taught formally to all students. A geographic information system (GIS) offers one example of a high-technology support system that can enable students and teachers to practice and apply spatial thinking in many areas of the curriculum.