New In This Edition: This second edition of the Encyclopedia of GIS includes 30% to 50% new content. It provides up-to-date information on emerging topics such as spatial big data, smart-phone GIS, urban computing and mobile recommender systems. It also expands the first edition’s rich set of GIS-related commercial and societal applications such as geo-targeting, geo-fencing and understanding climate changes, while enabling more comprehensive coverage of classical GIS topics such as map projections, global positioning systems and spatial cognition. The entries explain the key software, data sets and processes used by geographers and computational scientists. Additionally, the reference emphasizes the role of GIS in business and mobile intelligence. By offering more diversified GIS-related topics from theory and research than most of the other available literature, the authors equip newcomers to the field with principles as well as applications. With an accessible breadth of contentand intuitive A-Z organization, this new edition of the encyclopedia is an invaluable reference for newcomers to the field of GIS, as well as researchers, students, developers and professionals who are interested in exploring this new dynamic area. Praise For The First Edition: "The focus here, however, is on the mathematical and computational aspects of GIS … . This is very welcome to those practitioners who have been less exposed to some of the mathematical and computational aspects of GIS. This is also very welcome to the researcher or graduate student within any of the interdisciplinary areas that use GIS. … I highly recommend it." (Pascal V. Calarco, ACM Computing Reviews, November, 2008) "This single-volume reference work is a highly welcome … addition to the rapidly advancing field of geographic information systems. Peer-reviewed entries from over 300 contributors cover 41 topical subfields, with an overall emphasis on computational aspects of GIS. The volume is adequately illustrated with 723 figures and 90 tables in black and white. A full bibliography and concise list of entry terms are provided at the back of the work. … Summing Up: Highly recommended. Upper-division geography students through professionals." (C. E. Smith, CHOICE, Vol. 45 (11), 2008) "The encyclopedia is divided into 41 fields, each one an important sub-area within GIS. ... the editors’ organization of the material and comprehensive and systematic approach are superb and shall give students, eager readers as well as researchers an understanding of the topics in quite full depth and breadth. … is lavishly illustrated with figures, graphs and tables, the design and execution of which are as perfect as the material they illustrate. … it is sturdy and opens out nicely for study and reference." (Current Engineering Practice, 2008).
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New In This Edition: This second edition of the Encyclopedia of GIS includes 30% to 50% new content.
Basic Concepts.- Basic Storage and Retrieval Structure.- Cartography and Visualization.- Commercial GIS.- Commercial Spatial Databases.- Critical Evaluation of Standard Proposals.- Data Exchange and Interoperability.- Digital Road Map.- Emergency Evacuations.- Evacuation Planning and Operations.- GeoSensor Networks.- Geospatial Semantic Web.- GIS in Business Intelligence.- Routing.- GIS Issues and Applications.- Indoor Positioning.- Information Collection Using Sensor Network.- Open Source GIS Software.- Photogrammetry.- Representation of Inexact Spatial Information.- Road Network Databases.- Security and Privacy in Geospatial Information Systems.- Spatial Analysis.- Spatial Aspects of Bioinformatics.- Spatial Aspects of Distributed Computing.- Spatial Aspects of Mobile Computing.- Spatial Association Discovery.- Spatial Colocation Rule Mining.- Spatial Constraint Databases.- Spatial Data Warehousing and Decision Support.- Spatial Database Modeling for Applications.- Spatial Indexing.- Spatial Outlier Detection.- Spatial Prediction.- Spatial Thinking.- Spatial Time Series.- Spatial Uncertainty and Imprecision.- Spatio-Temporal Data Modeling.- Spatio-Temporal Databases.- Statistical Modeling for Spatial Data.- Tessellation Data Models.- Use of Spatial Data for Simulation.- Qualitative Volunteered Data and Next-Generation Sensor Measurement.- Spatio-Temporal Prediction.- Synthesizing Multiple Viewpoints of Past, Present, and Future.- Spatial and Spatio-Temporal Computing Standards.- Spatial Computing Infrastructure.- Augmented Reality.- Collection, Fusion and Curation of Sensing Data.- Computational issues for Spatial Big Data.- Spatial Cognitive Assistance.- Spatial Computing for Human-Human Interaction/Collaboration.- Context-aware Spatial Computing.- Improving Spatial Abilities and Skills Developing Spatial Abilities and Talent in US Students?- Ubiquitous Computing.- Persistent Sensing and Monitoring.- Trustworthy Localization and Transportation Systems.- Understanding Geo-Privacy Concerns.
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Explains the key software, data sets and processes used by geographers and computational scientists Updates an earlier, successful edition with new content on emerging topics such as big data Equips readers to understand a diversity of GIS-related topics including applications Allows convenient, rapid access to authoritative and comprehensive information Maximizes reader understanding of the newest GIS standards Includes supplementary material: sn.pub/extras
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9783319178844
Publisert
2017-04-26
Utgave
2. utgave
Utgiver
Vendor
Springer International Publishing AG
Høyde
254 mm
Bredde
178 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Om bidragsyterne

Shashi Shekhar is a McKnight Distinguished University Professor at the University of Minnesota (Computer Science faculty). For contributions to geographic information systems (GIS), spatial databases and spatial data mining, he received the IEEE-CS Technical Achievement Award and was elected an IEEE Fellow and an AAAS Fellow. He was also named a key difference-maker for the field of GIS by the most popular GIS textbook. He has a distinguished academic record that includes 280+ refereed papers, a popular textbook on Spatial Databases (Prentice Hall, 2003) and an authoritative Encyclopedia of GIS (Springer, 2008). He is serving as a member of the Computing Community Consortium Council (2012-15), a co-Editor-in-Chief of Geo-Informatica, a series editor for the Springer Briefs on GIS and as a member of the National Research Council (NRC) committee on Geo-targeted Disaster Alerts and Warning (2013). Previously, he served on multiple NRC committees including Future Workforce for Geospatial Intelligence (2011), Mapping Sciences (2004-2009) and Priorities for GEOINT Research (2004-2005). He also served as a general or program co-chair for the International Conference on Geographic Information Science (2012), the International Symposium on Spatial and Temporal Databases (2011) and ACM International Conference on Geographic Information Systems (1996). He also served on the Board of Directors of University Consortium on GIS (2003-4), as well as the editorial boards of IEEE Transactions on Knowledge and Data Engineering and IEEE-CS Computer Science and Engineering Practice Board. In early 1990s, his research developed core technologies behind in-vehicle navigation devices as well as web-based routing services, which revolutionized outdoor navigation in urban environments. His recent research played a critical role in evacuation route planning for homeland security and received multiple recognitions including the CTS Partnership Award for significant impact on transportation.He pioneered the research area of spatial data mining via pattern families (e.g. collocation, mixed-drove co-occurrence, cascade), keynote speeches, survey papers and workshop organization. He received a Ph.D. in Computer Science from the University of California, Berkeley.
Dr. Hui Xiong is an Associate Professor and Vice Chair of the Management Science and Information Systems Department, and the Director of the Rutgers Center for Information Assurance, at Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009) and the ICDM-2011 Best Research Paper Award (2011).

Dr. Xiong received his Ph.D. in Computer Science from the University of Minnesota, in 2005, a B.E. in Automation from the University of Science and Technology of China and an M.S. in Computer Science from the National University of Singapore. His general area of researchis data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. He has published prolifically in refereed journals and conference proceedings (3 books, 40+ journal papers and 60+ conference papers). He is a co-Editor-in-Chief of the Encyclopedia of GIS, an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE) and the Knowledge and Information Systems (KAIS) journal. He has served on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining and a Program Co-Chair for the 2013 IEEE International Conference on Data Mining.