Big Data Computing for Geospatial Applications

• अन्य लेखक: Li, Zhenlong (संपादक), Tang, Wenwu (संपादक), Huang, Qunying (संपादक), Shook, Eric (संपादक), Guan, Qingfeng (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• विषय: Research & information: general; Geography; task; workflow; geospatial problem-solving; knowledge base; social media; big data; fine-grained emotion classification; spatio-temporal analysis; hazard mitigation; missing road; city blocks; topology; big mobile navigation trajectory data; geographic knowledge representation; geographic knowledge graph; formalization; GeoKG; overlay analysis; shape complexity; massive data; cloud; parallel computing; geovisual analytics; machine learning; smart card data; transit corridor; mobility community; trip; CA Markov; land-use change prediction; Hadoop; MapReduce; cloud computing; ETL; ELT; sensor data; IoT; geospatial big data; climate science; metadata; web cataloging service; big geospatial data; geospatial cyberinfrastructure; topographic surface; terrain modeling; global terrain dataset; geospatial computing; cyberGIS; GeoAI; spatial thinking
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

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 ap...