{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:09:13Z","timestamp":1750306153261,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T00:00:00Z","timestamp":1477872000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IS14012"],"award-info":[{"award-number":["01IS14012"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,10,31]]},"DOI":"10.1145\/2996913.2996931","type":"proceedings-article","created":{"date-parts":[[2016,12,22]],"date-time":"2016-12-22T21:20:29Z","timestamp":1482441629000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["BigGIS"],"prefix":"10.1145","author":[{"given":"Patrick","family":"Wiener","sequence":"first","affiliation":[{"name":"University of Applied Sciences Karlsruhe, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Stein","sequence":"additional","affiliation":[{"name":"University of Konstanz, Konstanz, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Seebacher","sequence":"additional","affiliation":[{"name":"University of Konstanz, Konstanz, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian","family":"Bruns","sequence":"additional","affiliation":[{"name":"FZI Research Center for Information Technology, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Frank","sequence":"additional","affiliation":[{"name":"FZI Research Center for Information Technology, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Viliam","family":"Simko","sequence":"additional","affiliation":[{"name":"FZI Research Center for Information Technology, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Zander","sequence":"additional","affiliation":[{"name":"FZI Research Center for Information Technology, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Nimis","sequence":"additional","affiliation":[{"name":"University of Applied Sciences Karlsruhe, Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,10,31]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Statistics for Spatio-Temporal Data","author":"Cressie N.","year":"2015","unstructured":"N. Cressie and C. K. Wikle . Statistics for Spatio-Temporal Data . John Wiley & Sons , 2015 . N. Cressie and C. K. Wikle. Statistics for Spatio-Temporal Data. John Wiley & Sons, 2015."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-9236(94)00018-N"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-38791-8_38"},{"key":"e_1_3_2_1_4_1","volume-title":"Smart Web Services for Big Spatio-Temporal Data in Geographical Information Systems. In ESWC workshop: Services and Applications over Linked APIs and Data (SALAD","author":"Frank M.","year":"2016","unstructured":"M. Frank and S. Zander . Smart Web Services for Big Spatio-Temporal Data in Geographical Information Systems. In ESWC workshop: Services and Applications over Linked APIs and Data (SALAD 2016 ). M. Frank and S. Zander. Smart Web Services for Big Spatio-Temporal Data in Geographical Information Systems. In ESWC workshop: Services and Applications over Linked APIs and Data (SALAD 2016)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference and Prediction","author":"Hastie T.","year":"2009","unstructured":"T. Hastie , R. Tibshirani , and J. Friedman . The Elements of Statistical Learning: Data Mining, Inference and Prediction . Springer , 2 edition, 2009 . T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, 2 edition, 2009."},{"key":"e_1_3_2_1_6_1","volume-title":"EuroVis Workshop on Visual Analytics","author":"J\u00e4ckle D.","year":"2015","unstructured":"D. J\u00e4ckle , H. Senaratne , J. Buchm\u00fcller , and D. A. Keim . Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. In E. Bertini and J. C. Roberts, editors , EuroVis Workshop on Visual Analytics ( EuroVA). The Eurographics Association , 2015 . D. J\u00e4ckle, H. Senaratne, J. Buchm\u00fcller, and D. A. Keim. Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. In E. Bertini and J. C. Roberts, editors, EuroVis Workshop on Visual Analytics (EuroVA). The Eurographics Association, 2015."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/978-3-540-70956-5_7","volume-title":"Information Visualization: Human-Centered Issues and Perspectives","author":"Keim D. A.","year":"2008","unstructured":"D. A. Keim , G. Andrienko , J.-D. Fekete , C. G\u00f6rg , J. Kohlhammer , and G. Melan\u00e7on . Information Visualization: Human-Centered Issues and Perspectives , chapter Visual Analytics: Definition, Process, and Challenges, pages 154 -- 175 . Springer , 2008 . D. A. Keim, G. Andrienko, J.-D. Fekete, C. G\u00f6rg, J. Kohlhammer, and G. Melan\u00e7on. Information Visualization: Human-Centered Issues and Perspectives, chapter Visual Analytics: Definition, Process, and Challenges, pages 154--175. Springer, 2008."},{"key":"e_1_3_2_1_8_1","volume-title":"Mastering the Information Age: Solving Problems with Visual Analytics","author":"Keim D. A.","year":"2010","unstructured":"D. A. Keim , J. Kohlhammer , G. Ellis , and F. Mansmann . Mastering the Information Age: Solving Problems with Visual Analytics . The Eurographics Association , 2010 . D. A. Keim, J. Kohlhammer, G. Ellis, and F. Mansmann. Mastering the Information Age: Solving Problems with Visual Analytics. The Eurographics Association, 2010."},{"key":"e_1_3_2_1_9_1","volume-title":"July","author":"Kreps J.","year":"2014","unstructured":"J. Kreps . Questioning the Lambda Architecture . https:\/\/www.oreilly.com\/ideas\/questioning-the-lambda-architecture , July 2014 . Accessed : 10 May 2016. J. Kreps. Questioning the Lambda Architecture. https:\/\/www.oreilly.com\/ideas\/questioning-the-lambda-architecture, July 2014. Accessed: 10 May 2016."},{"key":"e_1_3_2_1_10_1","volume-title":"Big Data: Principles and Best Practices of Scalable Realtime Data Systems","author":"Marz N.","year":"2013","unstructured":"N. Marz and J. Warren . Big Data: Principles and Best Practices of Scalable Realtime Data Systems . Manning Publications , 2013 . N. Marz and J. Warren. Big Data: Principles and Best Practices of Scalable Realtime Data Systems. Manning Publications, 2013."},{"key":"e_1_3_2_1_11_1","volume-title":"August","author":"Big OGC.","year":"2013","unstructured":"OGC. Big Processing of Geospatial Data . http:\/\/www.opengeospatial.org\/blog\/1866 , August 2013 . Accessed : 10 May 2016. OGC. Big Processing of Geospatial Data. http:\/\/www.opengeospatial.org\/blog\/1866, August 2013. Accessed: 10 May 2016."},{"key":"e_1_3_2_1_12_1","first-page":"1","volume-title":"3rd Int. Conf. on Agro-Geoinformatics (Agro-Geoinformatics 2014","author":"Peng Y.","year":"2014","unstructured":"Y. Peng and J. Liangcun . BigGIS: How big data can shape next-generation GIS . In 3rd Int. Conf. on Agro-Geoinformatics (Agro-Geoinformatics 2014 ), pages 1 -- 6 . IEEE, August 2014 . Y. Peng and J. Liangcun. BigGIS: How big data can shape next-generation GIS. In 3rd Int. Conf. on Agro-Geoinformatics (Agro-Geoinformatics 2014), pages 1--6. IEEE, August 2014."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2467591"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346481"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/11926078_71"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820882"}],"event":{"name":"SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","acronym":"SIGSPATIAL'16","location":"Burlingame California"},"container-title":["Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2996913.2996931","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2996913.2996931","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:40Z","timestamp":1750217980000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2996913.2996931"}},"subtitle":["a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper)"],"short-title":[],"issued":{"date-parts":[[2016,10,31]]},"references-count":16,"alternative-id":["10.1145\/2996913.2996931","10.1145\/2996913"],"URL":"https:\/\/doi.org\/10.1145\/2996913.2996931","relation":{},"subject":[],"published":{"date-parts":[[2016,10,31]]},"assertion":[{"value":"2016-10-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}