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You searched for subject:(Spatial temporal data). Showing records 1 – 30 of 84 total matches.

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George Mason University

1. Li, Jing. A Constraint-Based Model for 3D Spatial-Temporal Data Management .

Degree: 2012, George Mason University

 Describing structures of geospatial objects as models is essential for understanding geographic processes. Efforts to develop such models started from decades ago but a model… (more)

Subjects/Keywords: spatial-temporal; constraint; 3D; data model; GIS

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APA (6th Edition):

Li, J. (2012). A Constraint-Based Model for 3D Spatial-Temporal Data Management . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/7943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Jing. “A Constraint-Based Model for 3D Spatial-Temporal Data Management .” 2012. Thesis, George Mason University. Accessed May 08, 2021. http://hdl.handle.net/1920/7943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Jing. “A Constraint-Based Model for 3D Spatial-Temporal Data Management .” 2012. Web. 08 May 2021.

Vancouver:

Li J. A Constraint-Based Model for 3D Spatial-Temporal Data Management . [Internet] [Thesis]. George Mason University; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/1920/7943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li J. A Constraint-Based Model for 3D Spatial-Temporal Data Management . [Thesis]. George Mason University; 2012. Available from: http://hdl.handle.net/1920/7943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Zheng, Guanjie. Data-driven Decision Making in Spatial Temporal Tasks.

Degree: 2020, Penn State University

 With the emerging of pervasive data-collecting technologies and devices, we are collecting a large amount of data to describe human society and nature, e.g., human… (more)

Subjects/Keywords: data-driven decision making; spatial temporal data; data mining

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APA (6th Edition):

Zheng, G. (2020). Data-driven Decision Making in Spatial Temporal Tasks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17787gjz5038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zheng, Guanjie. “Data-driven Decision Making in Spatial Temporal Tasks.” 2020. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/17787gjz5038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zheng, Guanjie. “Data-driven Decision Making in Spatial Temporal Tasks.” 2020. Web. 08 May 2021.

Vancouver:

Zheng G. Data-driven Decision Making in Spatial Temporal Tasks. [Internet] [Thesis]. Penn State University; 2020. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/17787gjz5038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zheng G. Data-driven Decision Making in Spatial Temporal Tasks. [Thesis]. Penn State University; 2020. Available from: https://submit-etda.libraries.psu.edu/catalog/17787gjz5038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

3. Shen, Zhitao. Efficient processing of Top-k queries on spatial and temporal data.

Degree: Computer Science & Engineering, 2012, University of New South Wales

Spatial and temporal databases play a vital role in many applications in different areas such as Geographic Information Systems (GIS), stock market, wireless sensor network,… (more)

Subjects/Keywords: Temporal data; Top-k query; Data stream; Spatial data

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APA (6th Edition):

Shen, Z. (2012). Efficient processing of Top-k queries on spatial and temporal data. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52362 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11035/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Shen, Zhitao. “Efficient processing of Top-k queries on spatial and temporal data.” 2012. Doctoral Dissertation, University of New South Wales. Accessed May 08, 2021. http://handle.unsw.edu.au/1959.4/52362 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11035/SOURCE01?view=true.

MLA Handbook (7th Edition):

Shen, Zhitao. “Efficient processing of Top-k queries on spatial and temporal data.” 2012. Web. 08 May 2021.

Vancouver:

Shen Z. Efficient processing of Top-k queries on spatial and temporal data. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 May 08]. Available from: http://handle.unsw.edu.au/1959.4/52362 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11035/SOURCE01?view=true.

Council of Science Editors:

Shen Z. Efficient processing of Top-k queries on spatial and temporal data. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52362 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11035/SOURCE01?view=true


University of Melbourne

4. Stradling, Martin James. Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications.

Degree: 2012, University of Melbourne

 Modern database applications demand high throughput of queries on complex data, such as the increasingly common types of spatial and temporal data. Many structures have… (more)

Subjects/Keywords: databases; indexing; spatial data; temporal data; versioned data; spatial index; temporal index; mapping-based index; DBMS integration

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APA (6th Edition):

Stradling, M. J. (2012). Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37525

Chicago Manual of Style (16th Edition):

Stradling, Martin James. “Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications.” 2012. Masters Thesis, University of Melbourne. Accessed May 08, 2021. http://hdl.handle.net/11343/37525.

MLA Handbook (7th Edition):

Stradling, Martin James. “Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications.” 2012. Web. 08 May 2021.

Vancouver:

Stradling MJ. Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications. [Internet] [Masters thesis]. University of Melbourne; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/11343/37525.

Council of Science Editors:

Stradling MJ. Towards small-effort adaptions to off-the-shelf spatial and temporal indexes for modern database applications. [Masters Thesis]. University of Melbourne; 2012. Available from: http://hdl.handle.net/11343/37525


University of Minnesota

5. Evans, Michael Robert. Spatial big data analytics for urban informatics.

Degree: PhD, Computer science, 2013, University of Minnesota

 Urban Informatics is the practice of using computer technology to support core city functions: planning, governance and operations. This technology consists of hardware, software, databases,… (more)

Subjects/Keywords: Data mining; Spatial big data; Spatio-temporal networks; Trajectories

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APA (6th Edition):

Evans, M. R. (2013). Spatial big data analytics for urban informatics. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/157973

Chicago Manual of Style (16th Edition):

Evans, Michael Robert. “Spatial big data analytics for urban informatics.” 2013. Doctoral Dissertation, University of Minnesota. Accessed May 08, 2021. http://purl.umn.edu/157973.

MLA Handbook (7th Edition):

Evans, Michael Robert. “Spatial big data analytics for urban informatics.” 2013. Web. 08 May 2021.

Vancouver:

Evans MR. Spatial big data analytics for urban informatics. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2021 May 08]. Available from: http://purl.umn.edu/157973.

Council of Science Editors:

Evans MR. Spatial big data analytics for urban informatics. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/157973

6. Ghosh, Abhirup. Machine learning and privacy preserving algorithms for spatial and temporal sensing.

Degree: PhD, 2019, University of Edinburgh

 Sensing physical and social environments are ubiquitous in modern mobile phones, IoT devices, and infrastructure-based settings. Information engraved in such data, especially the time and… (more)

Subjects/Keywords: machine learning; topology; privacy; spatial data analysis; temporal data analysis

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APA (6th Edition):

Ghosh, A. (2019). Machine learning and privacy preserving algorithms for spatial and temporal sensing. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36192

Chicago Manual of Style (16th Edition):

Ghosh, Abhirup. “Machine learning and privacy preserving algorithms for spatial and temporal sensing.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed May 08, 2021. http://hdl.handle.net/1842/36192.

MLA Handbook (7th Edition):

Ghosh, Abhirup. “Machine learning and privacy preserving algorithms for spatial and temporal sensing.” 2019. Web. 08 May 2021.

Vancouver:

Ghosh A. Machine learning and privacy preserving algorithms for spatial and temporal sensing. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/1842/36192.

Council of Science Editors:

Ghosh A. Machine learning and privacy preserving algorithms for spatial and temporal sensing. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36192


University of Adelaide

7. Alsulami, Dawlah Joodallah. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.

Degree: 2016, University of Adelaide

 Modelling spatio-temporal data has received significant attention, recently and is widely applied in many disciplines such as economics, environmental and social sciences. In economics, housing… (more)

Subjects/Keywords: semiparametric models; spatio-temporal data; adaptive lasso; spatial weight matrix

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APA (6th Edition):

Alsulami, D. J. (2016). Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/100422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alsulami, Dawlah Joodallah. “Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.” 2016. Thesis, University of Adelaide. Accessed May 08, 2021. http://hdl.handle.net/2440/100422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alsulami, Dawlah Joodallah. “Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes.” 2016. Web. 08 May 2021.

Vancouver:

Alsulami DJ. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/2440/100422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsulami DJ. Semiparametric models for nonlinear spatio-temporal data with application to the United States housing prices indexes. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/100422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Yerroju, Gautham. Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach.

Degree: 2018, University of Nevada – Reno

 With the prosperity of Big Data, the performance and robustness of storage systems have become ever more important. Today's Big Data enterprise storage systems operate… (more)

Subjects/Keywords: Big Data; Characterization; Conditional Probability; Prediction; Spatial-Temporal Analysis; Storage Failures

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APA (6th Edition):

Yerroju, G. (2018). Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/4519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yerroju, Gautham. “Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach.” 2018. Thesis, University of Nevada – Reno. Accessed May 08, 2021. http://hdl.handle.net/11714/4519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yerroju, Gautham. “Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach.” 2018. Web. 08 May 2021.

Vancouver:

Yerroju G. Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach. [Internet] [Thesis]. University of Nevada – Reno; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/11714/4519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yerroju G. Proactively Handling Failures in Extreme-Scale Big Data Storage: A Data Driven Approach. [Thesis]. University of Nevada – Reno; 2018. Available from: http://hdl.handle.net/11714/4519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Wayne State University

9. O'leary, Brendan Francis. Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed.

Degree: MS, Geology, 2014, Wayne State University

  The heterogeneous nature of urban air complicates human exposure estimates and creates a need for accurate, highly detailed spatiotemporal air contaminant models. The study… (more)

Subjects/Keywords: Detroit; Spatial data outliers; Spatial variability; Spatiotemporal modeling; Temporal variability; Urban air quality; Geology

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APA (6th Edition):

O'leary, B. F. (2014). Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/352

Chicago Manual of Style (16th Edition):

O'leary, Brendan Francis. “Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed.” 2014. Masters Thesis, Wayne State University. Accessed May 08, 2021. https://digitalcommons.wayne.edu/oa_theses/352.

MLA Handbook (7th Edition):

O'leary, Brendan Francis. “Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed.” 2014. Web. 08 May 2021.

Vancouver:

O'leary BF. Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed. [Internet] [Masters thesis]. Wayne State University; 2014. [cited 2021 May 08]. Available from: https://digitalcommons.wayne.edu/oa_theses/352.

Council of Science Editors:

O'leary BF. Evaluating Spatial Outliers And Integrating Temporal Data In Air Pollution Models For The Detroit-Windsor Airshed. [Masters Thesis]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_theses/352


University of Edinburgh

10. Bates, Ellie. Mapping mayhem in the city?.

Degree: 2008, University of Edinburgh

 Mapping mayhem in the city? Exploring the space time dynamics of criminal damage and alcohol with Geovisualisation and ESDA. This research examines if the combination… (more)

Subjects/Keywords: vandalism; exploratory spatial data analysis; geovisualisation; alcohol; spatial and temporal scale; crime pattern theory; temporal constraint theory

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APA (6th Edition):

Bates, E. (2008). Mapping mayhem in the city?. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2479

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bates, Ellie. “Mapping mayhem in the city?.” 2008. Thesis, University of Edinburgh. Accessed May 08, 2021. http://hdl.handle.net/1842/2479.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bates, Ellie. “Mapping mayhem in the city?.” 2008. Web. 08 May 2021.

Vancouver:

Bates E. Mapping mayhem in the city?. [Internet] [Thesis]. University of Edinburgh; 2008. [cited 2021 May 08]. Available from: http://hdl.handle.net/1842/2479.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bates E. Mapping mayhem in the city?. [Thesis]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/2479

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

11. Wrede, Fredrik. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.

Degree: Biology Education Centre, 2016, Uppsala University

  Stochastic reaction-diffusion simulations has become an efficient approach for modelling spatial aspects of intracellular biochemical reaction networks. By accounting for intrinsic noise due to… (more)

Subjects/Keywords: Big data; feature extraction; clustering; stochastic reaction-diffusion simulation; spatial-temporal; data mining; cloud computing

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APA (6th Edition):

Wrede, F. (2016). An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wrede, Fredrik. “An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.” 2016. Thesis, Uppsala University. Accessed May 08, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wrede, Fredrik. “An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.” 2016. Web. 08 May 2021.

Vancouver:

Wrede F. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. [Internet] [Thesis]. Uppsala University; 2016. [cited 2021 May 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wrede F. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

12. Hendawi, Abdeltawab. Scalable Spatial Predictive Query Processing for Moving Objects.

Degree: PhD, Computer Science, 2015, University of Minnesota

 A fundamental category of location based services relies on predictive queries which consider the anticipated future locations of users. Predictive queries at- tracted the researchers'… (more)

Subjects/Keywords: Data Management; Moving objects; Predictive Queries; Predictive tree P-tree; Spatial Database; Spatio-temporal data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hendawi, A. (2015). Scalable Spatial Predictive Query Processing for Moving Objects. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175463

Chicago Manual of Style (16th Edition):

Hendawi, Abdeltawab. “Scalable Spatial Predictive Query Processing for Moving Objects.” 2015. Doctoral Dissertation, University of Minnesota. Accessed May 08, 2021. http://hdl.handle.net/11299/175463.

MLA Handbook (7th Edition):

Hendawi, Abdeltawab. “Scalable Spatial Predictive Query Processing for Moving Objects.” 2015. Web. 08 May 2021.

Vancouver:

Hendawi A. Scalable Spatial Predictive Query Processing for Moving Objects. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11299/175463.

Council of Science Editors:

Hendawi A. Scalable Spatial Predictive Query Processing for Moving Objects. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175463


University of Texas – Austin

13. Ziotopoulos, Agisilaos Georgios. Design of platforms for computing context with spatio-temporal locality.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Texas – Austin

 This dissertation is in the area of pervasive computing. It focuses on designing platforms for storing, querying, and computing contextual information. More specifically, we are… (more)

Subjects/Keywords: Stochastic geometry; Pervasive computing; Computer architecture; Spatial data; Spatio-temporal data; P2P networks

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APA (6th Edition):

Ziotopoulos, A. G. (2011). Design of platforms for computing context with spatio-temporal locality. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3328

Chicago Manual of Style (16th Edition):

Ziotopoulos, Agisilaos Georgios. “Design of platforms for computing context with spatio-temporal locality.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed May 08, 2021. http://hdl.handle.net/2152/ETD-UT-2011-05-3328.

MLA Handbook (7th Edition):

Ziotopoulos, Agisilaos Georgios. “Design of platforms for computing context with spatio-temporal locality.” 2011. Web. 08 May 2021.

Vancouver:

Ziotopoulos AG. Design of platforms for computing context with spatio-temporal locality. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 May 08]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3328.

Council of Science Editors:

Ziotopoulos AG. Design of platforms for computing context with spatio-temporal locality. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3328


University of South Australia

14. Abraham, Tamas. Knowledge discovery in spatio-temporal databases.

Degree: PhD, 1999, University of South Australia

Subjects/Keywords: Data mining; Spatial systems; Temporal databases

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APA (6th Edition):

Abraham, T. (1999). Knowledge discovery in spatio-temporal databases. (Doctoral Dissertation). University of South Australia. Retrieved from http://arrow.unisa.edu.au:8081/1959.8/85162 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:42822

Chicago Manual of Style (16th Edition):

Abraham, Tamas. “Knowledge discovery in spatio-temporal databases.” 1999. Doctoral Dissertation, University of South Australia. Accessed May 08, 2021. http://arrow.unisa.edu.au:8081/1959.8/85162 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:42822.

MLA Handbook (7th Edition):

Abraham, Tamas. “Knowledge discovery in spatio-temporal databases.” 1999. Web. 08 May 2021.

Vancouver:

Abraham T. Knowledge discovery in spatio-temporal databases. [Internet] [Doctoral dissertation]. University of South Australia; 1999. [cited 2021 May 08]. Available from: http://arrow.unisa.edu.au:8081/1959.8/85162 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:42822.

Council of Science Editors:

Abraham T. Knowledge discovery in spatio-temporal databases. [Doctoral Dissertation]. University of South Australia; 1999. Available from: http://arrow.unisa.edu.au:8081/1959.8/85162 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:42822

15. He, Xi. TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION.

Degree: PhD, Computer Science, 2016, Georgia State University

  In this dissertation, we discuss a text visualization system, a tree drawing algorithm, a spatial-temporal data visualization paradigm and a tennis match visualization system.… (more)

Subjects/Keywords: Text Visualization; Spatial-Temporal Data Visualization; Storytelling; Storygraph; Tree Drawing Algorithm; Tennis Match Visualization

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APA (6th Edition):

He, X. (2016). TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/109

Chicago Manual of Style (16th Edition):

He, Xi. “TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION.” 2016. Doctoral Dissertation, Georgia State University. Accessed May 08, 2021. https://scholarworks.gsu.edu/cs_diss/109.

MLA Handbook (7th Edition):

He, Xi. “TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION.” 2016. Web. 08 May 2021.

Vancouver:

He X. TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2021 May 08]. Available from: https://scholarworks.gsu.edu/cs_diss/109.

Council of Science Editors:

He X. TEXT AND SPATIAL-TEMPORAL DATA VISUALIZATION. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/109


University of Kentucky

16. Kazi, Obaidur Rahman. A Data Driven Approach to Quantify the Impact of Crashes.

Degree: 2016, University of Kentucky

 The growth of data has begun to transform the transportation research and policy, and open a new window for analyzing the impact of crashes. Currently… (more)

Subjects/Keywords: Heat map; crash analysis; spatial and temporal impact; reliability; Big Data; Transportation Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kazi, O. R. (2016). A Data Driven Approach to Quantify the Impact of Crashes. (Masters Thesis). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ce_etds/50

Chicago Manual of Style (16th Edition):

Kazi, Obaidur Rahman. “A Data Driven Approach to Quantify the Impact of Crashes.” 2016. Masters Thesis, University of Kentucky. Accessed May 08, 2021. https://uknowledge.uky.edu/ce_etds/50.

MLA Handbook (7th Edition):

Kazi, Obaidur Rahman. “A Data Driven Approach to Quantify the Impact of Crashes.” 2016. Web. 08 May 2021.

Vancouver:

Kazi OR. A Data Driven Approach to Quantify the Impact of Crashes. [Internet] [Masters thesis]. University of Kentucky; 2016. [cited 2021 May 08]. Available from: https://uknowledge.uky.edu/ce_etds/50.

Council of Science Editors:

Kazi OR. A Data Driven Approach to Quantify the Impact of Crashes. [Masters Thesis]. University of Kentucky; 2016. Available from: https://uknowledge.uky.edu/ce_etds/50


University of Sydney

17. Al-Naymat, Ghazi. NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA .

Degree: 2009, University of Sydney

Data mining is the process of extracting knowledge from large amounts of data. It covers a variety of techniques aimed at discovering diverse types of… (more)

Subjects/Keywords: Data mining; Spatial data; Spatio-temporal; Time series data

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APA (6th Edition):

Al-Naymat, G. (2009). NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/5295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Al-Naymat, Ghazi. “NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA .” 2009. Thesis, University of Sydney. Accessed May 08, 2021. http://hdl.handle.net/2123/5295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Al-Naymat, Ghazi. “NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA .” 2009. Web. 08 May 2021.

Vancouver:

Al-Naymat G. NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA . [Internet] [Thesis]. University of Sydney; 2009. [cited 2021 May 08]. Available from: http://hdl.handle.net/2123/5295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Al-Naymat G. NEW METHODS FOR MINING SEQUENTIAL AND TIME SERIES DATA . [Thesis]. University of Sydney; 2009. Available from: http://hdl.handle.net/2123/5295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

18. Olson, Jeffrey L. The Evolution of Urban-Rural Space.

Degree: PhD, Geography, 2013, The Ohio State University

 Revolutions in communications technology, transportation of people and goods, and the reorganization of economic production between the local and global scales have resulted in the… (more)

Subjects/Keywords: Geography; geographic information systems, urban-rural space, rural development, spatial organization, spatial-temporal data, historical GIS

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APA (6th Edition):

Olson, J. L. (2013). The Evolution of Urban-Rural Space. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1376926850

Chicago Manual of Style (16th Edition):

Olson, Jeffrey L. “The Evolution of Urban-Rural Space.” 2013. Doctoral Dissertation, The Ohio State University. Accessed May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376926850.

MLA Handbook (7th Edition):

Olson, Jeffrey L. “The Evolution of Urban-Rural Space.” 2013. Web. 08 May 2021.

Vancouver:

Olson JL. The Evolution of Urban-Rural Space. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2021 May 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1376926850.

Council of Science Editors:

Olson JL. The Evolution of Urban-Rural Space. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1376926850

19. Silva, Edilza Martins da. Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná.

Degree: 2019, Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas

Submitted by Edineia Teixeira ([email protected]) on 2019-09-18T18:17:24Z No. of bitstreams: 2 Edilza_Silva_2019.pdf: 4761646 bytes, checksum: f0b40be2abc50d636024fd5cf1833ea6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

Made available… (more)

Subjects/Keywords: Análise temporal; Data do máximo vegetativo; Dados Espaciais; Temporal analysis; Spatial data; Maximum vegetative data; 10-day; Seasonality; CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA

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APA (6th Edition):

Silva, E. M. d. (2019). Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná. (Masters Thesis). Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas. Retrieved from http://tede.unioeste.br/handle/tede/4468

Chicago Manual of Style (16th Edition):

Silva, Edilza Martins da. “Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná.” 2019. Masters Thesis, Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas. Accessed May 08, 2021. http://tede.unioeste.br/handle/tede/4468.

MLA Handbook (7th Edition):

Silva, Edilza Martins da. “Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná.” 2019. Web. 08 May 2021.

Vancouver:

Silva EMd. Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná. [Internet] [Masters thesis]. Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas; 2019. [cited 2021 May 08]. Available from: http://tede.unioeste.br/handle/tede/4468.

Council of Science Editors:

Silva EMd. Produtividade da soja associada a variáveis agrometeorológicas utilizando estatísticas circular e espacial de área, no estado do Paraná. [Masters Thesis]. Universidade Estadual do Oeste do Paraná; Cascavel; Programa de Pós-Graduação em Engenharia Agrícola; UNIOESTE; Brasil; Centro de Ciências Exatas e Tecnológicas; 2019. Available from: http://tede.unioeste.br/handle/tede/4468


University of Michigan

20. Bai, Yun. Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models.

Degree: PhD, Biostatistics, 2011, University of Michigan

Spatial or spatio-temporal data are frequently encountered in many scientific disciplines. One major challenge in modeling these processes is the high dimensionality of such data;… (more)

Subjects/Keywords: Spatio-temporal; Spatial-clustered; Composite Likelihood; Estimating Equations; Estimation Efficiency; Massive Data; Statistics and Numeric Data; Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bai, Y. (2011). Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89679

Chicago Manual of Style (16th Edition):

Bai, Yun. “Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models.” 2011. Doctoral Dissertation, University of Michigan. Accessed May 08, 2021. http://hdl.handle.net/2027.42/89679.

MLA Handbook (7th Edition):

Bai, Yun. “Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models.” 2011. Web. 08 May 2021.

Vancouver:

Bai Y. Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 May 08]. Available from: http://hdl.handle.net/2027.42/89679.

Council of Science Editors:

Bai Y. Joint Composite Estimating Functions in Spatial and Spatio-Temporal Models. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89679


King Abdullah University of Science and Technology

21. Huang, Huang. Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2017, King Abdullah University of Science and Technology

 This thesis focuses on two topics, computational methods for large spatial datasets and functional data ranking. Both are tackling the challenges of big and high-dimensional… (more)

Subjects/Keywords: Large spatial data set; low rank approximation; Functional Data Analysis; spatio-temporal covariance; Statistical efficiency; Outlier detection

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APA (6th Edition):

Huang, H. (2017). Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/625200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Huang. “Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed May 08, 2021. http://hdl.handle.net/10754/625200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Huang. “Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking.” 2017. Web. 08 May 2021.

Vancouver:

Huang H. Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/10754/625200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang H. Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/625200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Dvořáček, Ondřej. Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects.

Degree: 2019, Brno University of Technology

 This master's thesis is devoted to the studies of possibilities, which can be used for representation of moving objects data and for querying such spatio-temporal data.… (more)

Subjects/Keywords: Databáze; dotazování; pohybující se objekty; časoprostorová data; Oracle; Oracle Spatial; STD.; Database; querying; moving objects; spatio-temporal data; Oracle; Oracle Spatial; STD.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dvořáček, O. (2019). Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53835

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dvořáček, Ondřej. “Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects.” 2019. Thesis, Brno University of Technology. Accessed May 08, 2021. http://hdl.handle.net/11012/53835.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dvořáček, Ondřej. “Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects.” 2019. Web. 08 May 2021.

Vancouver:

Dvořáček O. Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/11012/53835.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dvořáček O. Dotazování nad časoprostorovými daty pohybujících se objektů: Querying Spatio-Temporal Data of Moving Objects. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53835

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Guelph

23. Zhang, Lin. Time-varying Individual-level Infectious Disease Models.

Degree: PhD, Department of Mathematics and Statistics, 2014, University of Guelph

 Individual-level models (ILMs) of infectious disease spread are a system of statistical models which can be used to model infectious disease transmission through a population… (more)

Subjects/Keywords: spatial-temporal epidemic; individual-level models; data aggregation; time-varying infectivity; Markov chain Monte Carlo; Bayesian inference

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, L. (2014). Time-varying Individual-level Infectious Disease Models. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7778

Chicago Manual of Style (16th Edition):

Zhang, Lin. “Time-varying Individual-level Infectious Disease Models.” 2014. Doctoral Dissertation, University of Guelph. Accessed May 08, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7778.

MLA Handbook (7th Edition):

Zhang, Lin. “Time-varying Individual-level Infectious Disease Models.” 2014. Web. 08 May 2021.

Vancouver:

Zhang L. Time-varying Individual-level Infectious Disease Models. [Internet] [Doctoral dissertation]. University of Guelph; 2014. [cited 2021 May 08]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7778.

Council of Science Editors:

Zhang L. Time-varying Individual-level Infectious Disease Models. [Doctoral Dissertation]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7778


University of Adelaide

24. Martins Sequeira, Ana Micaela. Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species.

Degree: 2013, University of Adelaide

 The processes driving distribution and abundance patterns of highly migratory marine species, such as filter-feeding sharks, remain largely unexplained. The whale shark (Rhincodon typus Smith… (more)

Subjects/Keywords: Rhincodon typus; species distribution models; satellite data; tuna purse-seine fisheries; temporal trends; generalised lineal mixed-effects models; spatial disribution

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martins Sequeira, A. M. (2013). Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/81551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martins Sequeira, Ana Micaela. “Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species.” 2013. Thesis, University of Adelaide. Accessed May 08, 2021. http://hdl.handle.net/2440/81551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martins Sequeira, Ana Micaela. “Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species.” 2013. Web. 08 May 2021.

Vancouver:

Martins Sequeira AM. Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/2440/81551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martins Sequeira AM. Global distribution models for whale sharks : assessing occurrence trends of highly migratory marine species. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/81551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

25. Yang, KwangSoo. Spatial Network Big Data: Challenges, Approaches, and Opportunities.

Degree: PhD, Computer Science, 2015, University of Minnesota

Spatial Network Big Data (SNBD) refers to spatial network datasets whose size, variety, or update rate exceeds the capacity of commonly-used spatial network computing and… (more)

Subjects/Keywords: Capacity Constrained Network Voronoi Diagram; database management systems; Evacuation Route Planning; Spatial Network Big Data; Storage of Spatio-temporal Network Datasets

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, K. (2015). Spatial Network Big Data: Challenges, Approaches, and Opportunities. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175378

Chicago Manual of Style (16th Edition):

Yang, KwangSoo. “Spatial Network Big Data: Challenges, Approaches, and Opportunities.” 2015. Doctoral Dissertation, University of Minnesota. Accessed May 08, 2021. http://hdl.handle.net/11299/175378.

MLA Handbook (7th Edition):

Yang, KwangSoo. “Spatial Network Big Data: Challenges, Approaches, and Opportunities.” 2015. Web. 08 May 2021.

Vancouver:

Yang K. Spatial Network Big Data: Challenges, Approaches, and Opportunities. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11299/175378.

Council of Science Editors:

Yang K. Spatial Network Big Data: Challenges, Approaches, and Opportunities. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175378


University of Southern California

26. Wang, Haojun. MOVNet: a framework to process location-based queries on moving objects in road networks.

Degree: PhD, Computer Science, 2009, University of Southern California

 Recently, the usage of various GPS devices (e.g., car-based navigation systems and handheld PDAs) has become very popular in many - especially urban - areas.… (more)

Subjects/Keywords: spatial-temporal data management; location-based services; mobile computing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, H. (2009). MOVNet: a framework to process location-based queries on moving objects in road networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/150329/rec/4250

Chicago Manual of Style (16th Edition):

Wang, Haojun. “MOVNet: a framework to process location-based queries on moving objects in road networks.” 2009. Doctoral Dissertation, University of Southern California. Accessed May 08, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/150329/rec/4250.

MLA Handbook (7th Edition):

Wang, Haojun. “MOVNet: a framework to process location-based queries on moving objects in road networks.” 2009. Web. 08 May 2021.

Vancouver:

Wang H. MOVNet: a framework to process location-based queries on moving objects in road networks. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2021 May 08]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/150329/rec/4250.

Council of Science Editors:

Wang H. MOVNet: a framework to process location-based queries on moving objects in road networks. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/150329/rec/4250

27. VARGAS CABRERA, CAMILO. LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data .

Degree: 2016, Universidad de los Andes

 Una característica común en la planeación y modelamiento urbano es la naturaleza espacio-temporal de la información. Investigadores de múltiples disciplinas usan diferentes herramientas y aproximaciones… (more)

Subjects/Keywords: data visualization; temporal spatial data; data level integration; web application

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APA (6th Edition):

VARGAS CABRERA, C. (2016). LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data . (Thesis). Universidad de los Andes. Retrieved from https://documentodegrado.uniandes.edu.co/documentos/8094.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

VARGAS CABRERA, CAMILO. “LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data .” 2016. Thesis, Universidad de los Andes. Accessed May 08, 2021. https://documentodegrado.uniandes.edu.co/documentos/8094.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

VARGAS CABRERA, CAMILO. “LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data .” 2016. Web. 08 May 2021.

Vancouver:

VARGAS CABRERA C. LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data . [Internet] [Thesis]. Universidad de los Andes; 2016. [cited 2021 May 08]. Available from: https://documentodegrado.uniandes.edu.co/documentos/8094.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

VARGAS CABRERA C. LapsoCarte: A web platform to visualize and interact with temporal and spatial referenced data . [Thesis]. Universidad de los Andes; 2016. Available from: https://documentodegrado.uniandes.edu.co/documentos/8094.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Wannous, Rouaa. Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux.

Degree: Docteur es, Informatique et applications, 2014, La Rochelle

Le développement de technologies comme les systèmes de positionnement par satellites (GNSS), les communications sans fil, les systèmes de radio-identification (RFID) et des capteurs a… (more)

Subjects/Keywords: Modélisation de trajectoire; Modélisation d'espace; Modélisation de temps; Règles temporelles; Inférence; Règles; Trajectory data model; Spatial data model; Time data model; Temporal rules; Ontology inference; Rules

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wannous, R. (2014). Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux. (Doctoral Dissertation). La Rochelle. Retrieved from http://www.theses.fr/2014LAROS023

Chicago Manual of Style (16th Edition):

Wannous, Rouaa. “Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux.” 2014. Doctoral Dissertation, La Rochelle. Accessed May 08, 2021. http://www.theses.fr/2014LAROS023.

MLA Handbook (7th Edition):

Wannous, Rouaa. “Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux.” 2014. Web. 08 May 2021.

Vancouver:

Wannous R. Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux. [Internet] [Doctoral dissertation]. La Rochelle; 2014. [cited 2021 May 08]. Available from: http://www.theses.fr/2014LAROS023.

Council of Science Editors:

Wannous R. Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions : Raisonnement sur la modélisation des trajectoires : prise en compte des aspects thématiques, temporels et spatiaux. [Doctoral Dissertation]. La Rochelle; 2014. Available from: http://www.theses.fr/2014LAROS023


University of North Texas

29. Indrakanti, Saratchandra. Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies.

Degree: 2015, University of North Texas

 POD (Point of Dispensing)-based emergency response plans involving mass prophylaxis may seem feasible when considering the choice of dispensing points within a region, overall population… (more)

Subjects/Keywords: spatial and temporal partitioning; metaheuristics; optimization algorithms; Emergency management  – United States  – Planning.; Emergency management  – United States  – Data processing.; Disaster medicine  – United States  – Planning.; Disaster medicine  – United States  – Data processing.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Indrakanti, S. (2015). Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804902/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Indrakanti, Saratchandra. “Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies.” 2015. Thesis, University of North Texas. Accessed May 08, 2021. https://digital.library.unt.edu/ark:/67531/metadc804902/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Indrakanti, Saratchandra. “Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies.” 2015. Web. 08 May 2021.

Vancouver:

Indrakanti S. Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies. [Internet] [Thesis]. University of North Texas; 2015. [cited 2021 May 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804902/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Indrakanti S. Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804902/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Zapletal, Dominik. Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories.

Degree: 2019, Brno University of Technology

 This work deals with the and preemptive road users behaviour safety analysis problem. Safety analysis is based on a processing of road users trajectories obtained… (more)

Subjects/Keywords: analýza bezpečnosti v dopravě; indikátory dopravních konfliktů; prostorově-temporální data; predikce pohybu; traffic safety analysis; traffic conflicts indicators; spatial-temporal data; movement prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zapletal, D. (2019). Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84883

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zapletal, Dominik. “Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories.” 2019. Thesis, Brno University of Technology. Accessed May 08, 2021. http://hdl.handle.net/11012/84883.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zapletal, Dominik. “Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories.” 2019. Web. 08 May 2021.

Vancouver:

Zapletal D. Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/11012/84883.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zapletal D. Preemptivní bezpečnostní analýza dopravního chování z trajektorií: Preemptive Safety Analysis of Road Users' Behavior from Trajectories. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/84883

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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