Big Data Computing for Geospatial Applications
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...
में बचाया:
| अन्य लेखक: | , , , , |
|---|---|
| स्वरूप: | पुस्तक अध्याय |
| प्रकाशित: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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| विषय: | |
| ऑनलाइन पहुंच: | Get Fullteks DOAB: description of the publication |
| टैग : |
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| LEADER | 03727naaaa2200997uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_69329 | ||
| 005 | 20210501 | ||
| 020 | |a books978-3-03943-245-5 | ||
| 020 | |a 9783039432448 | ||
| 020 | |a 9783039432455 | ||
| 024 | 7 | |a 10.3390/books978-3-03943-245-5 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 072 | 7 | |a RG |2 bicssc | |
| 100 | 1 | |a Li, Zhenlong |4 edt | |
| 700 | 1 | |a Tang, Wenwu |4 edt | |
| 700 | 1 | |a Huang, Qunying |4 edt | |
| 700 | 1 | |a Shook, Eric |4 edt | |
| 700 | 1 | |a Guan, Qingfeng |4 edt | |
| 700 | 1 | |a Li, Zhenlong |4 oth | |
| 700 | 1 | |a Tang, Wenwu |4 oth | |
| 700 | 1 | |a Huang, Qunying |4 oth | |
| 700 | 1 | |a Shook, Eric |4 oth | |
| 700 | 1 | |a Guan, Qingfeng |4 oth | |
| 245 | 1 | 0 | |a Big Data Computing for Geospatial Applications |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (222 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Geography |2 bicssc | |
| 653 | |a task | ||
| 653 | |a workflow | ||
| 653 | |a geospatial problem-solving | ||
| 653 | |a knowledge base | ||
| 653 | |a social media | ||
| 653 | |a big data | ||
| 653 | |a fine-grained emotion classification | ||
| 653 | |a spatio-temporal analysis | ||
| 653 | |a hazard mitigation | ||
| 653 | |a missing road | ||
| 653 | |a city blocks | ||
| 653 | |a topology | ||
| 653 | |a big mobile navigation trajectory data | ||
| 653 | |a geographic knowledge representation | ||
| 653 | |a geographic knowledge graph | ||
| 653 | |a formalization | ||
| 653 | |a GeoKG | ||
| 653 | |a overlay analysis | ||
| 653 | |a shape complexity | ||
| 653 | |a massive data | ||
| 653 | |a cloud | ||
| 653 | |a parallel computing | ||
| 653 | |a geovisual analytics | ||
| 653 | |a machine learning | ||
| 653 | |a smart card data | ||
| 653 | |a transit corridor | ||
| 653 | |a mobility community | ||
| 653 | |a trip | ||
| 653 | |a CA Markov | ||
| 653 | |a land-use change prediction | ||
| 653 | |a Hadoop | ||
| 653 | |a MapReduce | ||
| 653 | |a cloud computing | ||
| 653 | |a ETL | ||
| 653 | |a ELT | ||
| 653 | |a sensor data | ||
| 653 | |a IoT | ||
| 653 | |a geospatial big data | ||
| 653 | |a climate science | ||
| 653 | |a metadata | ||
| 653 | |a web cataloging service | ||
| 653 | |a big geospatial data | ||
| 653 | |a geospatial cyberinfrastructure | ||
| 653 | |a topographic surface | ||
| 653 | |a terrain modeling | ||
| 653 | |a global terrain dataset | ||
| 653 | |a geospatial computing | ||
| 653 | |a cyberGIS | ||
| 653 | |a GeoAI | ||
| 653 | |a spatial thinking | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3121 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69329 |7 0 |z DOAB: description of the publication |