Introduction to Big Data Computing for Geospatial Applications
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/8/487 |
| _version_ | 1797558709180694528 |
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| author | Zhenlong Li Wenwu Tang Qunying Huang Eric Shook Qingfeng Guan |
| author_facet | Zhenlong Li Wenwu Tang Qunying Huang Eric Shook Qingfeng Guan |
| author_sort | Zhenlong Li |
| collection | DOAJ |
| description | The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this special issue followed by an overview of the ten included articles. Conclusion and future research directions are provided in the last section. |
| first_indexed | 2024-03-10T17:35:18Z |
| format | Article |
| id | doaj.art-38af68afe4544ed18b95f314d9da6b5f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T17:35:18Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-38af68afe4544ed18b95f314d9da6b5f2023-11-20T09:51:43ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-08-019848710.3390/ijgi9080487Introduction to Big Data Computing for Geospatial ApplicationsZhenlong Li0Wenwu Tang1Qunying Huang2Eric Shook3Qingfeng Guan4Geoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC 29208, USACenter for Applied Geographic Information Science, Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USADepartment of Geography, University of Wisconsin-Madison, Madison, WI 53706, USADepartment of Geography, Environment, and Society, University of Minnesota, Minneapolis, MN 55455, USASchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaThe convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this special issue followed by an overview of the ten included articles. Conclusion and future research directions are provided in the last section.https://www.mdpi.com/2220-9964/9/8/487geospatial big datageospatial computingcyberGISGeoAIspatial thinking |
| spellingShingle | Zhenlong Li Wenwu Tang Qunying Huang Eric Shook Qingfeng Guan Introduction to Big Data Computing for Geospatial Applications ISPRS International Journal of Geo-Information geospatial big data geospatial computing cyberGIS GeoAI spatial thinking |
| title | Introduction to Big Data Computing for Geospatial Applications |
| title_full | Introduction to Big Data Computing for Geospatial Applications |
| title_fullStr | Introduction to Big Data Computing for Geospatial Applications |
| title_full_unstemmed | Introduction to Big Data Computing for Geospatial Applications |
| title_short | Introduction to Big Data Computing for Geospatial Applications |
| title_sort | introduction to big data computing for geospatial applications |
| topic | geospatial big data geospatial computing cyberGIS GeoAI spatial thinking |
| url | https://www.mdpi.com/2220-9964/9/8/487 |
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