TY - BOOK ID - 145425866 TI - Big Data Computing for Geospatial Applications AU - Li, Zhenlong AU - Tang, Wenwu AU - Huang, Qunying AU - Shook, Eric AU - Guan, Qingfeng PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - Geography KW - task KW - workflow KW - geospatial problem-solving KW - knowledge base KW - social media KW - big data KW - fine-grained emotion classification KW - spatio-temporal analysis KW - hazard mitigation KW - missing road KW - city blocks KW - topology KW - big mobile navigation trajectory data KW - geographic knowledge representation KW - geographic knowledge graph KW - formalization KW - GeoKG KW - overlay analysis KW - shape complexity KW - massive data KW - cloud KW - parallel computing KW - geovisual analytics KW - machine learning KW - smart card data KW - transit corridor KW - mobility community KW - trip KW - CA Markov KW - land-use change prediction KW - Hadoop KW - MapReduce KW - cloud computing KW - ETL KW - ELT KW - sensor data KW - IoT KW - geospatial big data KW - climate science KW - metadata KW - web cataloging service KW - big geospatial data KW - geospatial cyberinfrastructure KW - topographic surface KW - terrain modeling KW - global terrain dataset KW - geospatial computing KW - cyberGIS KW - GeoAI KW - spatial thinking UR - https://www.unicat.be/uniCat?func=search&query=sysid:145425866 AB - The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. ER -