[6] B. NT, “10 key things to remember while dealing with big data,” Big Data Made Simple: A Crayon Data Resource, 2014. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://bigdata-madesimple.com/10-key-things-to-remember-while-dealing-with-big-data/">http://bigdata-madesimple.com/10-key-things-to-remember-while-dealing-with-big-data/</ext-link>. [Accessed: 25 Oct. 2017].
[7] “7 Big Data Examples – Application of Big Data in Real Life,” Intellipaat. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://intellipaat.com/blog/7-big-data-examples-application-of-big-data-in-real-life/">https://intellipaat.com/blog/7-big-data-examples-application-of-big-data-in-real-life/</ext-link>. [Accessed: 2 Nov. 2017].
[8] R. H. Güting, and M. Schneider, <em>Moving Objects Databases</em>, 1st ed. Morgan Kaufmann, 2005.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/B978-012088799-6/50002-5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/B978-012088799-6/50002-5</a></dgdoi:pub-id>
[9] S. Rathee, and A. Yadav, “Survey on Spatio-Temporal Database and Data Models with relevant Features,” <em>International Journal of Scientific and Research Publications</em>, vol. 3, no. 1, pp. 152–156, 2013.
[10] I. Ali, H. Samoon, and A. Khan, “23 killed as monsoon rains lash Karachi,” Dawn News, 2017. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.dawn.com/news/1355132">https://www.dawn.com/news/1355132</ext-link>. [Accessed: 01-Nov-2017].
[27] U. Sivarajah, M. M. Kamal, Z. Irani, and V. Weerakkody, “Critical analysis of Big Data challenges and analytical methods,” <em>J. Bus. Res.</em>, vol. 70, pp. 263–286, Jan. 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1016/j.jbusres.2016.08.001" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.jbusres.2016.08.001</a>">https://doi.org/10.1016/j.jbusres.2016.08.001</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1016/j.jbusres.2016.08.001" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jbusres.2016.08.001</a></dgdoi:pub-id>
[29] Y. Chen, M. Guizani, Y. Zhang, L. Wang, N. Crespi, and G. M. Lee, “When Traffic Flow Prediction Meets Wireless Big Data Analytics,” CoRR abs/1709.08024, 2017.
[31] R. Ravanelli <em>et al.</em>, “Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications and Problems,” <em>Remote Sens.</em>, vol. 10, no. 9, p. 1488, Sep. 2018. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.3390/rs10091488" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.3390/rs10091488</a>">https://doi.org/10.3390/rs10091488</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.3390/rs10091488" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/rs10091488</a></dgdoi:pub-id>
[32] C. R. Lakshmi, K. RammohanRao, and R. RajeswaraRao, “Exploring Big Data Analytics for Satellite Imagery Data Using Hadoop Technique,” <em>Int. J. Eng. Res. Comput. Sci. Eng.</em>, vol. 4, no. 8, 2017.
[34] J. F. Roddick, M. J. Egenhofer, E. Hoel, D. Papadias, and B. Salzberg, “Spatial, temporal and spatio-temporal databases - hot issues and directions for phd research,” Newsletter ACM SIGMOD record, vol. 33, no. 2, 2014. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/1024694.1024724" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/1024694.1024724</a>">https://doi.org/10.1145/1024694.1024724</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/1024694.1024724" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/1024694.1024724</a></dgdoi:pub-id>
[35] S. Shekhar, V. Gunturi, M. R. Evans, and K. Yang, “Spatial big-data challenges intersecting mobility and cloud computing,” <em>Proc. Elev. ACM Int. Work. Data Eng. Wirel. Mob. Access - MobiDE ‘12</em>, New York, pp. 1–6, 2012. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/2258056.2258058" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/2258056.2258058</a>">https://doi.org/10.1145/2258056.2258058</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/2258056.2258058" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/2258056.2258058</a></dgdoi:pub-id>
[36] R. R. Vatsavai, A. Ganguly, V. Chandola, A. Stefanidis, S. Klasky, and S. Shekhar, “Spatiotemporal Data Mining in the Era of Big Spatial Data: Algorithms and Applications,” in <em>Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data</em>, 2012. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/2447481.2447482" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/2447481.2447482</a>">https://doi.org/10.1145/2447481.2447482</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/2447481.2447482" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/2447481.2447482</a></dgdoi:pub-id>
[37] R. R. Vatsavai and B. Bhaduri, “Geospatial Analytics for Big Spatiotemporal Data: Algorithms, Applications, and Challenges,” <em>NSF Work. Big Data Extrem. Comput.</em>, 2013.
[39] X. Chen, H. Vo, A. Aji, and F. Wang, “High performance integrated spatial big data analytics,” in <em>Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data - BigSpatial ‘14</em>, Nov. 4, 2014. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/2676536.2676538" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/2676536.2676538</a>">https://doi.org/10.1145/2676536.2676538</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/2676536.2676538" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/2676536.2676538</a></dgdoi:pub-id>
[41] M. R. Evans, D. Oliver, K. Yang, X. Zhou, R.Y. Ali, and S. Shekhar, “Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities,” GeoJournal Library, pp. 143–170, Jun. 2018. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/978-94-024-1531-5_8" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-94-024-1531-5_8</a>">https://doi.org/10.1007/978-94-024-1531-5_8</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/978-94-024-1531-5_8" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-94-024-1531-5_8</a></dgdoi:pub-id>
[43] B. Sadiq <em>et al.</em>, “A spatio-temporal multimedia big data framework for a large crowd,” in <em>Proc. 2015 IEEE International Conference on Big Data,</em> Nov. 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1109/BigData.2015.7364075" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1109/BigData.2015.7364075</a>">https://doi.org/10.1109/BigData.2015.7364075</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/BigData.2015.7364075" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/BigData.2015.7364075</a></dgdoi:pub-id>
[44] K. Liu, Y. Yao, and D. Guo, “On managing geospatial big-data in emergency management,” in <em>Proc. 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management - EM-GIS ‘15</em>, 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/2835596.2835614" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/2835596.2835614</a>">https://doi.org/10.1145/2835596.2835614</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/2835596.2835614" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/2835596.2835614</a></dgdoi:pub-id>
[45] B. Y. Chen, H. Yuan, Q. Li, S.-L. Shaw, W. H. K. Lam, and X. Chen, “Spatiotemporal data model for network time geographic analysis in the era of big data,” <em>International Journal of Geographical Information Science</em>, vol. 30, no. 6, pp. 1041–1071, Nov. 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1080/13658816.2015.1104317" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/13658816.2015.1104317</a>">https://doi.org/10.1080/13658816.2015.1104317</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1080/13658816.2015.1104317" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/13658816.2015.1104317</a></dgdoi:pub-id>
[46] J. Xing and R. E. Sieber, “A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology,” <em>International Journal of Geographical Information Science</em>, vol. 30, no. 3, pp. 573–593, Nov. 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1080/13658816.2015.1104534" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/13658816.2015.1104534</a>">https://doi.org/10.1080/13658816.2015.1104534</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1080/13658816.2015.1104534" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/13658816.2015.1104534</a></dgdoi:pub-id>
[47] L. Zhao, L. Chen, R. Ranjan, K.-K. R. Choo, and J. He, “Geographical information system parallelization for spatial big data processing: a review,” <em>Cluster Comput.</em>, vol. 19, no. 1, pp. 139–152, 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/s10586-015-0512-2" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10586-015-0512-2</a>">https://doi.org/10.1007/s10586-015-0512-2</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s10586-015-0512-2" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10586-015-0512-2</a></dgdoi:pub-id>
[48] C. M. Dalton and J. Thatcher, “Inflated granularity: Spatial ‘Big Data’ and geodemographics,” <em>Big Data Soc.</em>, 2015.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.2139/ssrn.2544638" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.2139/ssrn.2544638</a></dgdoi:pub-id>
[49] M. Frank and S. Zander, “Smart web services for big spatio-temporal data in geographical information systems,” in <em>CEUR Workshop Proceedings</em>, 2016.
[50] Z. Li, F. Hu, J. L. Schnase, D. Q. Duffy, T. Lee, M. K. Bowen, and C. Yang, “A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce,” <em>International Journal of Geographical Information Science</em>, vol. 31, no. 1, pp. 17–35, Jan. 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1080/13658816.2015.1131830" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/13658816.2015.1131830</a>">https://doi.org/10.1080/13658816.2015.1131830</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1080/13658816.2015.1131830" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/13658816.2015.1131830</a></dgdoi:pub-id>
[51] S. Li, X. Ye, J. Lee, J. Gong, and C. Qin, “Spatiotemporal Analysis of Housing Prices in China: A Big Data Perspective,” <em>Applied Spatial Analysis and Policy</em>, vol. 10, no. 3, pp. 421–433, Mar. 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/s12061-016-9185-3" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s12061-016-9185-3</a>">https://doi.org/10.1007/s12061-016-9185-3</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s12061-016-9185-3" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s12061-016-9185-3</a></dgdoi:pub-id>
[52] D. Zhu, “Spatial-temporal difference equations and their application in spatial-temporal data model especially for big data,” <em>Journal of Difference Equations and Applications</em>, vol. 23, no. 1–2, pp. 66–87, Apr. 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1080/10236198.2016.1167890" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/10236198.2016.1167890</a>">https://doi.org/10.1080/10236198.2016.1167890</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1080/10236198.2016.1167890" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/10236198.2016.1167890</a></dgdoi:pub-id>
[53] L. Wang, W. Song, and P. Liu, “Link the remote sensing big data to the image features via wavelet transformation,” <em>Cluster Computing</em>, vol. 19, no. 2, pp. 793–810, May 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/s10586-016-0569-6" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10586-016-0569-6</a>">https://doi.org/10.1007/s10586-016-0569-6</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s10586-016-0569-6" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10586-016-0569-6</a></dgdoi:pub-id>
[54] K. Liu, H. Wang, and Y. Yao, “On storing and retrieving geospatial big-data in cloud,” in <em>Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management - EM-GIS ‘16</em>, 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/3017611.3017627" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/3017611.3017627</a>">https://doi.org/10.1145/3017611.3017627</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/3017611.3017627" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/3017611.3017627</a></dgdoi:pub-id>
[55] R. F. Dos Santos, A. Boedihardjo, S. Shah, F. Chen, C. T. Lu, and N. Ramakrishnan, “The big data of violent events: algorithms for association analysis using spatio-temporal storytelling,” <em>Geoinformatica</em>, vol. 20, no. 4, pp. 879–921, 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/s10707-016-0247-0" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10707-016-0247-0</a>">https://doi.org/10.1007/s10707-016-0247-0</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s10707-016-0247-0" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10707-016-0247-0</a></dgdoi:pub-id>
[56] M. Kezunovic <em>et al.</em>, “Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science,” in W. Pedrycz, SM. Chen. Eds. Data Science and Big Data: An Environment of Computational Intelligence. Studies in Big Data, vol 24, Springer, 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/978-3-319-53474-9_12" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-3-319-53474-9_12</a>">https://doi.org/10.1007/978-3-319-53474-9_12</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/978-3-319-53474-9_12" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-319-53474-9_12</a></dgdoi:pub-id>
[57] S. Hagedorn, P. Götze, K.-U. Sattler, “Big Spatial Data Processing Frameworks: Feature and Performance Evaluation,” in <em>Proc. 20th International Conference on Extending Database Technology (EDBT)</em>, March 21–24, 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.5441/002/edbt.2017.52" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.5441/002/edbt.2017.52</a>">https://doi.org/10.5441/002/edbt.2017.52</ext-link>
[58] Z. Galić, E. Mešković, and D. Osmanović, “Distributed processing of big mobility data as spatio-temporal data streams,” <em>Geoinformatica</em>, vol. 21, no. 2, pp. 263–291, Apr. 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/s10707-016-0264-z" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10707-016-0264-z</a>">https://doi.org/10.1007/s10707-016-0264-z</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/s10707-016-0264-z" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10707-016-0264-z</a></dgdoi:pub-id>
[59] L. Alarabi, M. F. Mokbel, and M. Musleh, “ST-Hadoop: A MapReduce Framework for Spatio-Temporal Data,” Lecture Notes in Computer Science, pp. 84–104, 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1007/978-3-319-64367-0_5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-3-319-64367-0_5</a>">https://doi.org/10.1007/978-3-319-64367-0_5</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/978-3-319-64367-0_5" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-319-64367-0_5</a></dgdoi:pub-id>
[60] Z. Wang, <em>et. al</em>., 2017, “A large-scale spatio-temporal data analytics system for wildfire risk management,” in <em>Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data,</em> Chicago, Illinois, May 14–14, 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/3080546.3080549" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/3080546.3080549</a>">https://doi.org/10.1145/3080546.3080549</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/3080546.3080549" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/3080546.3080549</a></dgdoi:pub-id>
[62] W. M. K. Trochim and J. P. Donnelly, “Qualitative Unobtrusive Measures,” in <em>Research methods knowledge base</em>, 3rd ed., Mason, OH : Thomson Custom Pub., 2007, pp. 141–153.
[69] R. Paulls, “Apache Hadoop: A Big Data Solution in a Single Unit | Prowess Consulting,” <em>Data Center</em>, 2014. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.prowesscorp.com/apache-hadoop-a-big-data-solution-in-a-single-unit/">http://www.prowesscorp.com/apache-hadoop-a-big-data-solution-in-a-single-unit/</ext-link>. [Accessed: 13-Dec-2017].
[71] Vardhan, “Apache Spark vs Hadoop: Which is the Best Big Data Framework?,” <em>Brain4ce Education Solutions Pvt</em>, 2015. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.edureka.co/blog/apache-spark-vs-hadoop-mapreduce">https://www.edureka.co/blog/apache-spark-vs-hadoop-mapreduce</ext-link>. [Accessed: 14-Dec-2017].
[72] F. H. MD, “The Apache Software Foundation Announces Apache® SamzaTM v0.13 : The Apache Software Foundation Blog,” 2017. [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://blogs.apache.org/foundation/entry/the-apache-software-foundation-announces11">https://blogs.apache.org/foundation/entry/the-apache-software-foundation-announces11</ext-link>. [Accessed: 14-Dec-2017].
[73] D. García-Gil, S. Ramírez-Gallego, S. García, and F. Herrera, “A comparison on scalability for batch big data processing on Apache Spark and Apache Flink,” <em>Big Data Anal.</em>, vol. 2, no. 1, p. 1, Dec. 2017. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1186/s41044-016-0020-2" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1186/s41044-016-0020-2</a>">https://doi.org/10.1186/s41044-016-0020-2</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1186/s41044-016-0020-2" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1186/s41044-016-0020-2</a></dgdoi:pub-id>
[79] G. Grover, T. Malaska, J. Seidman, and G. Shapira, <em>Hadoop Application Architectures: Designing Real-World Big Data Applications</em>, 1st ed. O’Reilly Media, Inc., 2015.
[82] F. Hueske, “Stream analytics with SQL on Apache Flink,” in <em>Big data conference: Strata Data Conference</em>, 2017.<dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1007/978-3-319-63962-8_303-1" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-319-63962-8_303-1</a></dgdoi:pub-id>
[83] Jekyll and J. Lee, “Tiny Storm SQL: A Real Time Stream Data Analysis Interface for Apache Storm · Json Lee.” [Online]. Available: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://lijiansong.github.io/java/2017/06/05/tiny-storm-sql/">https://lijiansong.github.io/java/2017/06/05/tiny-storm-sql/</ext-link>. [Accessed: 18-Dec-2017].
[87] I. Portugal, P. Alencar, and D. Cowan, “A Preliminary Survey on Domain-Specific Languages for Machine Learning in Big Data,” <em>2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE),</em> Jun. 2016. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1109/SWSTE.2016.23" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1109/SWSTE.2016.23</a>">https://doi.org/10.1109/SWSTE.2016.23</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/SWSTE.2016.23" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/SWSTE.2016.23</a></dgdoi:pub-id>
[88] M. Jadhao, S. Bailmare, and K. Gaikwad, “Searching, Indexing And Sentimental Analysis On Big Data,” <em>Int. J. Scientific Research & Development,</em> vol. 4, no. 2, 2016.
[90] M. Bomewar, <em>et. al.,</em> “Searching And Indexing On Big Data,” <em>Int. Journal of Research In Science & Engineering</em>, vol. 2, no. 3, pp. 20–23, 2016.
[92] A. Eldawy and M. F. Mokbel, “SpatialHadoop: A MapReduce framework for spatial data,” <em>2015 IEEE 31st International Conference on Data Engineering</em>, Apr. 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1109/ICDE.2015.7113382" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1109/ICDE.2015.7113382</a>">https://doi.org/10.1109/ICDE.2015.7113382</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/ICDE.2015.7113382" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/ICDE.2015.7113382</a></dgdoi:pub-id>
[93] M. Kramer, “Controlling the Processing of Smart City Data in the Cloud with Domain-Specific Languages,” <em>2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing</em>, Dec. 2014. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1109/UCC.2014.134" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1109/UCC.2014.134</a>">https://doi.org/10.1109/UCC.2014.134</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/UCC.2014.134" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/UCC.2014.134</a></dgdoi:pub-id>
[96] S. Hagedorn, P. Götze, K.-U. Sattler, “The STARK framework for spatio-temporal data analytics on spark,” Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn, 2017.
[99] J. Yu, J. Wu, and M. Sarwat, “GeoSpark,” <em>Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS ‘15</em>, 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1145/2820783.2820860" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1145/2820783.2820860</a>">https://doi.org/10.1145/2820783.2820860</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1145/2820783.2820860" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1145/2820783.2820860</a></dgdoi:pub-id>
[100] S. You, J. Zhang, and L. Gruenwald, “Large-scale spatial join query processing in Cloud,” in <em>Proc. International Conference on Data Engineering Workshops</em>, pp. 34–41, 2015. <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.1109/icdew.2015.7129541" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1109/icdew.2015.7129541</a>">https://doi.org/10.1109/icdew.2015.7129541</ext-link><dgdoi:pub-id xmlns:dgdoi="http://degruyter.com/resources/doi-from-crossref" pub-id-type="doi"><a href="https://doi.org/10.1109/ICDEW.2015.7129541" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/ICDEW.2015.7129541</a></dgdoi:pub-id>