
Spatial Data Handling in Big Data Era by Chenghu Zhou
This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.
Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.
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Geospatial Solutions for Ecological Challenges and Sustainability
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Remote Sensing and GIS
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Regional and Urban Change and Geographical Information Systems and Science
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Analysis of Urban Growth and Sprawl from Remote Sensing Data
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Geographic Information Science and Public Participation
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Non-standard Spatial Statistics and Spatial Econometrics
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Open Source Approaches in Spatial Data Handling
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Advances in Spatial Data Handling
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Agent-based Modeling and Simulation in Archaeology
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Geospatial Techniques in Urban Planning
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Progress in Multicriteria Decision Making Models
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Geo-Data Revolution
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Geospatial Technologies in Coastal Ecologies Monitoring and Management
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Big Data Support of Urban Planning and Management
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GeoComputational Analysis and Modeling of Regional Systems
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Agent-Based Models and Complexity Science in the Age of Geospatial Big Data
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Advances in Spatial Data Handling and Analysis
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Information Fusion and Intelligent Geographic Information Systems
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Geogames and Geoplay
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Spatial Analysis and Location Modeling in Urban and Regional Systems
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Advances in Geocomputation
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Strategic Spatial Planning Support System for Sustainable Development
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Multicriteria Decision Analysis in Geographic Information Science
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Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems
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Random Fields for Spatial Data Modeling
CHENGHU ZHOU received his PhD from the Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, with a focus on Cartography and GIS. He is currently an Academician at the Chinese Academy of Science.
FENZHEN SU completed his PhD in GIS and Cartography at the Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing. He is currently Director of the State Key Lab of Resources and Environmental Information Systems, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
FRANCIS HARVEY completed his PhD at the University of Washington, Seattle, Washington. He has been head of the Department of Cartography and Visual Communication, Leibniz Institute for Regional Geography, since 2015.JUN XU received his PhD in Geographical Information Systems from the Department of Geography, State University of New York at Buffalo. Her research interests are in the fields of geographical ontology, spatial knowledge representation and qualitative reasoning, and spatial data mining. She is now an Associate Professor at the State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
| SKU | Unavailable |
| ISBN 13 | 9789811351334 |
| ISBN 10 | 9811351333 |
| Title | Spatial Data Handling in Big Data Era |
| Author | Chenghu Zhou |
| Series | Advances In Geographic Information Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2018-12-12 |
| Number of pages | 237 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
























