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You searched for subject:(spatio temporal data). Showing records 1 – 30 of 113 total matches.

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University of Canterbury

1. Hodge, Miriam Christine. Bias correction and change measurement in spatio-temporal data.

Degree: Department of Mathematics and Statistics, 2012, University of Canterbury

 A simplistic view of a dataset is that it is collection of numbers. In fact data are much more than that and all data are… (more)

Subjects/Keywords: BIAS CORRECTION; CHANGE MEASUREMENT; SPATIO-TEMPORAL DATA

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APA (6th Edition):

Hodge, M. C. (2012). Bias correction and change measurement in spatio-temporal data. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/7540

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):

Hodge, Miriam Christine. “Bias correction and change measurement in spatio-temporal data.” 2012. Thesis, University of Canterbury. Accessed August 25, 2019. http://hdl.handle.net/10092/7540.

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

MLA Handbook (7th Edition):

Hodge, Miriam Christine. “Bias correction and change measurement in spatio-temporal data.” 2012. Web. 25 Aug 2019.

Vancouver:

Hodge MC. Bias correction and change measurement in spatio-temporal data. [Internet] [Thesis]. University of Canterbury; 2012. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/10092/7540.

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

Council of Science Editors:

Hodge MC. Bias correction and change measurement in spatio-temporal data. [Thesis]. University of Canterbury; 2012. Available from: http://hdl.handle.net/10092/7540

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

2. Jin, Meihan. Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories.

Degree: Docteur es, Géomatique, 2017, Brest

La croissance rapide et la complexité de nombreuses villes contemporaines offrent de nombreux défis de recherche pour les scientifiques à la recherche d'une meilleure compréhension… (more)

Subjects/Keywords: Trajectoires urbaines; Modélisation spatio-temporelle; Bases de données spatio-temporelles; Urban trajectories; Spatio-temporal data modeling; Spatio-temporal database

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APA (6th Edition):

Jin, M. (2017). Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories. (Doctoral Dissertation). Brest. Retrieved from http://www.theses.fr/2017BRES0067

Chicago Manual of Style (16th Edition):

Jin, Meihan. “Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories.” 2017. Doctoral Dissertation, Brest. Accessed August 25, 2019. http://www.theses.fr/2017BRES0067.

MLA Handbook (7th Edition):

Jin, Meihan. “Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories.” 2017. Web. 25 Aug 2019.

Vancouver:

Jin M. Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories. [Internet] [Doctoral dissertation]. Brest; 2017. [cited 2019 Aug 25]. Available from: http://www.theses.fr/2017BRES0067.

Council of Science Editors:

Jin M. Un modèle spatio-temporel sémantique pour la modélisation de mobilités en milieu urbain : A conceptual and semantic modelling approach for the representation and exploration of human trajectories. [Doctoral Dissertation]. Brest; 2017. Available from: http://www.theses.fr/2017BRES0067


Universidade do Minho

3. Oliveira, João Ricardo Leite Mota. Spatio-temporal SNN : integrating time and space in the clustering process .

Degree: 2013, Universidade do Minho

Spatio-temporal clustering is a new subfield of data mining that is increasingly gaining scientific attention due to the technical advances of location-based or environmental devices… (more)

Subjects/Keywords: Clustering; Density-based clustering; Spatio-temporal data; Distance function; Spatio-temporal clustering

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APA (6th Edition):

Oliveira, J. R. L. M. (2013). Spatio-temporal SNN : integrating time and space in the clustering process . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/29459

Chicago Manual of Style (16th Edition):

Oliveira, João Ricardo Leite Mota. “Spatio-temporal SNN : integrating time and space in the clustering process .” 2013. Masters Thesis, Universidade do Minho. Accessed August 25, 2019. http://hdl.handle.net/1822/29459.

MLA Handbook (7th Edition):

Oliveira, João Ricardo Leite Mota. “Spatio-temporal SNN : integrating time and space in the clustering process .” 2013. Web. 25 Aug 2019.

Vancouver:

Oliveira JRLM. Spatio-temporal SNN : integrating time and space in the clustering process . [Internet] [Masters thesis]. Universidade do Minho; 2013. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/1822/29459.

Council of Science Editors:

Oliveira JRLM. Spatio-temporal SNN : integrating time and space in the clustering process . [Masters Thesis]. Universidade do Minho; 2013. Available from: http://hdl.handle.net/1822/29459


University of Minnesota

4. 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 August 25, 2019. http://purl.umn.edu/157973.

MLA Handbook (7th Edition):

Evans, Michael Robert. “Spatial big data analytics for urban informatics.” 2013. Web. 25 Aug 2019.

Vancouver:

Evans MR. Spatial big data analytics for urban informatics. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Aug 25]. 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


Arizona State University

5. Nara, Atsushi. Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments.

Degree: PhD, Geography, 2011, Arizona State University

 In today's world, unprecedented amounts of data of individual mobile objects have become more available due to advances in location aware technologies and services. Studying… (more)

Subjects/Keywords: Geography; Geographic information science and geodesy; Animal behavior; Geocomputation; Geosimulation; Geovisualization; Spatio-Temporal Analysis Toolkit; Spatio-Temporal Behavior; Trajectory Data Mining

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APA (6th Edition):

Nara, A. (2011). Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/9514

Chicago Manual of Style (16th Edition):

Nara, Atsushi. “Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments.” 2011. Doctoral Dissertation, Arizona State University. Accessed August 25, 2019. http://repository.asu.edu/items/9514.

MLA Handbook (7th Edition):

Nara, Atsushi. “Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments.” 2011. Web. 25 Aug 2019.

Vancouver:

Nara A. Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2019 Aug 25]. Available from: http://repository.asu.edu/items/9514.

Council of Science Editors:

Nara A. Developing a Cohesive Space-Time Information Framework for Analyzing Movement Trajectories in Real and Simulated Environments. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9514


University of Illinois – Chicago

6. Ayala, Daniel. Spatio-temporal Matching for Urban Transportation Applications.

Degree: 2017, University of Illinois – Chicago

 In this work we present a search problem in which mobile agents are searching for static resources. Each agent wants to obtain exactly one resource.… (more)

Subjects/Keywords: Spatio-temporal Matching; Game Theory; Pricing Scheme; Data Uncertainty

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APA (6th Edition):

Ayala, D. (2017). Spatio-temporal Matching for Urban Transportation Applications. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21744

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):

Ayala, Daniel. “Spatio-temporal Matching for Urban Transportation Applications.” 2017. Thesis, University of Illinois – Chicago. Accessed August 25, 2019. http://hdl.handle.net/10027/21744.

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

MLA Handbook (7th Edition):

Ayala, Daniel. “Spatio-temporal Matching for Urban Transportation Applications.” 2017. Web. 25 Aug 2019.

Vancouver:

Ayala D. Spatio-temporal Matching for Urban Transportation Applications. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/10027/21744.

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

Council of Science Editors:

Ayala D. Spatio-temporal Matching for Urban Transportation Applications. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21744

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


Georgia Tech

7. Pradhananga, Nipesh. Construction site safety analysis for human-equipment interaction using spatio-temporal data.

Degree: PhD, Civil and Environmental Engineering, 2014, Georgia Tech

 The construction industry has consistently suffered the highest number of fatalities among all human involved industries over the years. Safety managers struggle to prevent injuries… (more)

Subjects/Keywords: Construction operation; Construction safety; Spatio-temporal data; Construction simulation; Hazard mapping

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APA (6th Edition):

Pradhananga, N. (2014). Construction site safety analysis for human-equipment interaction using spatio-temporal data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52326

Chicago Manual of Style (16th Edition):

Pradhananga, Nipesh. “Construction site safety analysis for human-equipment interaction using spatio-temporal data.” 2014. Doctoral Dissertation, Georgia Tech. Accessed August 25, 2019. http://hdl.handle.net/1853/52326.

MLA Handbook (7th Edition):

Pradhananga, Nipesh. “Construction site safety analysis for human-equipment interaction using spatio-temporal data.” 2014. Web. 25 Aug 2019.

Vancouver:

Pradhananga N. Construction site safety analysis for human-equipment interaction using spatio-temporal data. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/1853/52326.

Council of Science Editors:

Pradhananga N. Construction site safety analysis for human-equipment interaction using spatio-temporal data. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52326


Louisiana State University

8. Chen, Yuliang. A contour tree based spatio-temporal data model for oceanographic applications.

Degree: PhD, Social and Behavioral Sciences, 2011, Louisiana State University

 To present the spatio/temporal data from oceanographic modeling in GIS has been a challenging task due to the highly dynamic characteristic and complex pattern of… (more)

Subjects/Keywords: GIS; spatio-temporal data model; contour tree; ontology

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APA (6th Edition):

Chen, Y. (2011). A contour tree based spatio-temporal data model for oceanographic applications. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955

Chicago Manual of Style (16th Edition):

Chen, Yuliang. “A contour tree based spatio-temporal data model for oceanographic applications.” 2011. Doctoral Dissertation, Louisiana State University. Accessed August 25, 2019. etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955.

MLA Handbook (7th Edition):

Chen, Yuliang. “A contour tree based spatio-temporal data model for oceanographic applications.” 2011. Web. 25 Aug 2019.

Vancouver:

Chen Y. A contour tree based spatio-temporal data model for oceanographic applications. [Internet] [Doctoral dissertation]. Louisiana State University; 2011. [cited 2019 Aug 25]. Available from: etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955.

Council of Science Editors:

Chen Y. A contour tree based spatio-temporal data model for oceanographic applications. [Doctoral Dissertation]. Louisiana State University; 2011. Available from: etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955


University of California – Santa Cruz

9. Richardson, Robert. Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data.

Degree: Applied Mathematics and Statistics, 2015, University of California – Santa Cruz

 Integro-Differential Equations (IDEs) are a novel way of dynamically modeling spatio-temporal data. IDEs are characterized by a kernel which controls the spatial and temporal associations.… (more)

Subjects/Keywords: Statistics; Environmental studies; Bayesian Nonparametrics; Integro-Differential Equations; Spatio-Temporal Data

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APA (6th Edition):

Richardson, R. (2015). Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/5sr3m44t

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):

Richardson, Robert. “Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data.” 2015. Thesis, University of California – Santa Cruz. Accessed August 25, 2019. http://www.escholarship.org/uc/item/5sr3m44t.

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

MLA Handbook (7th Edition):

Richardson, Robert. “Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data.” 2015. Web. 25 Aug 2019.

Vancouver:

Richardson R. Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Aug 25]. Available from: http://www.escholarship.org/uc/item/5sr3m44t.

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

Council of Science Editors:

Richardson R. Flexible Integro-Differential Equations for Bayesian Modeling of Spatio-Temporal Data. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/5sr3m44t

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


University of Adelaide

10. 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 August 25, 2019. 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. 25 Aug 2019.

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 2019 Aug 25]. 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


Vilnius University

11. Paulionienė, Laura. Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu.

Degree: Dissertation, Mathematics, 2014, Vilnius University

Disertaciniame darbe nagrinėjama erdvės – laiko duomenų modeliavimo problema. Dažnai erdvinių duomenų rinkiniai yra gana nedideli, o taškai, kuriuose pasklidę stebėjimai, išsidėstę netaisyklingai. Sprendžiant „erdvinį“… (more)

Subjects/Keywords: Erdvės-laiko duomenys; ARMA; Krigingas; Spatio-temporal data; ARMA; Kriging

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APA (6th Edition):

Paulionienė, L. (2014). Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu. (Doctoral Dissertation). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20140117_113103-58499 ;

Chicago Manual of Style (16th Edition):

Paulionienė, Laura. “Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu.” 2014. Doctoral Dissertation, Vilnius University. Accessed August 25, 2019. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20140117_113103-58499 ;.

MLA Handbook (7th Edition):

Paulionienė, Laura. “Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu.” 2014. Web. 25 Aug 2019.

Vancouver:

Paulionienė L. Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu. [Internet] [Doctoral dissertation]. Vilnius University; 2014. [cited 2019 Aug 25]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20140117_113103-58499 ;.

Council of Science Editors:

Paulionienė L. Erdvės - laiko duomenų statistinis modeliavimas, pagrįstas laiko eilučių parametrų erdviniu interpoliavimu. [Doctoral Dissertation]. Vilnius University; 2014. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20140117_113103-58499 ;


Cornell University

12. Zhou, Zhengyi. Predicting Ambulance Demand .

Degree: 2015, Cornell University

 Predicting ambulance demand accurately on a fine resolution in time (e.g., every hour) and space (e.g., every 1 km2 ) is critical for staff, fleet… (more)

Subjects/Keywords: emergency medical services; spatio-temporal point process; data mining

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APA (6th Edition):

Zhou, Z. (2015). Predicting Ambulance Demand . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41181

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):

Zhou, Zhengyi. “Predicting Ambulance Demand .” 2015. Thesis, Cornell University. Accessed August 25, 2019. http://hdl.handle.net/1813/41181.

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

MLA Handbook (7th Edition):

Zhou, Zhengyi. “Predicting Ambulance Demand .” 2015. Web. 25 Aug 2019.

Vancouver:

Zhou Z. Predicting Ambulance Demand . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/1813/41181.

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

Council of Science Editors:

Zhou Z. Predicting Ambulance Demand . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41181

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


IUPUI

13. Baskaran, Savitha. Visualization of spatio-temporal data in two dimensional space.

Degree: 2016, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Spatio-temporal data is becoming very popular in the recent times, as there are large number of datasets that collect both… (more)

Subjects/Keywords: Visualization; Spatio-temporal data; Time model; Taxi dataset

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APA (6th Edition):

Baskaran, S. (2016). Visualization of spatio-temporal data in two dimensional space. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/11833

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):

Baskaran, Savitha. “Visualization of spatio-temporal data in two dimensional space.” 2016. Thesis, IUPUI. Accessed August 25, 2019. http://hdl.handle.net/1805/11833.

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

MLA Handbook (7th Edition):

Baskaran, Savitha. “Visualization of spatio-temporal data in two dimensional space.” 2016. Web. 25 Aug 2019.

Vancouver:

Baskaran S. Visualization of spatio-temporal data in two dimensional space. [Internet] [Thesis]. IUPUI; 2016. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/1805/11833.

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

Council of Science Editors:

Baskaran S. Visualization of spatio-temporal data in two dimensional space. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/11833

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


Georgia Tech

14. Chen, Junzhuo. SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 This thesis makes contributions to two research topics: spatio-temporal change-point detection and constrained Bayesian optimization. Spatio-temporal change-point detection is concerned with detecting statistical anomalies based… (more)

Subjects/Keywords: change-point detection; Bayesian optimization; spatio-temporal data

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APA (6th Edition):

Chen, J. (2019). SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61247

Chicago Manual of Style (16th Edition):

Chen, Junzhuo. “SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION.” 2019. Doctoral Dissertation, Georgia Tech. Accessed August 25, 2019. http://hdl.handle.net/1853/61247.

MLA Handbook (7th Edition):

Chen, Junzhuo. “SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION.” 2019. Web. 25 Aug 2019.

Vancouver:

Chen J. SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/1853/61247.

Council of Science Editors:

Chen J. SPATIO-TEMPORAL CHANGE-POINT DETECTION AND CONSTRAINED BAYESIAN OPTIMIZATION. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61247

15. Li, Yifan. Top-K Queries Over Digital Traces.

Degree: MSc -MS, Computer Science, 2019, York University

 Recent advances in social and mobile technology have enabled an abundance of digital traces (in the form of mobile check-ins, WiFi hotspots handshaking, etc.) revealing… (more)

Subjects/Keywords: Computer science; Spatio-temporal data; Top-k query; Hashing; Human mobility

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APA (6th Edition):

Li, Y. (2019). Top-K Queries Over Digital Traces. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/35922

Chicago Manual of Style (16th Edition):

Li, Yifan. “Top-K Queries Over Digital Traces.” 2019. Masters Thesis, York University. Accessed August 25, 2019. http://hdl.handle.net/10315/35922.

MLA Handbook (7th Edition):

Li, Yifan. “Top-K Queries Over Digital Traces.” 2019. Web. 25 Aug 2019.

Vancouver:

Li Y. Top-K Queries Over Digital Traces. [Internet] [Masters thesis]. York University; 2019. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/10315/35922.

Council of Science Editors:

Li Y. Top-K Queries Over Digital Traces. [Masters Thesis]. York University; 2019. Available from: http://hdl.handle.net/10315/35922


University of Michigan

16. Bhattacharya, Shrijita. Outlier Identification in Spatio-Temporal Processes.

Degree: PhD, Statistics, 2018, University of Michigan

 This dissertation answers some of the statistical challenges arising in spatio-temporal data from Internet traffic, electricity grids and climate models. It begins with methodological contributions… (more)

Subjects/Keywords: Outlier identification in Spatio-Temporal Models; Statistics and Numeric Data; Science

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APA (6th Edition):

Bhattacharya, S. (2018). Outlier Identification in Spatio-Temporal Processes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145789

Chicago Manual of Style (16th Edition):

Bhattacharya, Shrijita. “Outlier Identification in Spatio-Temporal Processes.” 2018. Doctoral Dissertation, University of Michigan. Accessed August 25, 2019. http://hdl.handle.net/2027.42/145789.

MLA Handbook (7th Edition):

Bhattacharya, Shrijita. “Outlier Identification in Spatio-Temporal Processes.” 2018. Web. 25 Aug 2019.

Vancouver:

Bhattacharya S. Outlier Identification in Spatio-Temporal Processes. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/2027.42/145789.

Council of Science Editors:

Bhattacharya S. Outlier Identification in Spatio-Temporal Processes. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145789


University of Minnesota

17. Schroeder, Jonathan Paul. Visualizing patterns in U.S. Urban population trends.

Degree: PhD, Geography, 2009, University of Minnesota

 With the completion of the U.S. National Historical Geographic Information System (NHGIS), it is now feasible to assemble a large dataset of historical census tract… (more)

Subjects/Keywords: Areal Interpolation; Cartography; Spatio-temporal Data Analysis; Temporal Mapping; Urban Geography; Visualization; Geography

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APA (6th Edition):

Schroeder, J. P. (2009). Visualizing patterns in U.S. Urban population trends. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/48076

Chicago Manual of Style (16th Edition):

Schroeder, Jonathan Paul. “Visualizing patterns in U.S. Urban population trends.” 2009. Doctoral Dissertation, University of Minnesota. Accessed August 25, 2019. http://purl.umn.edu/48076.

MLA Handbook (7th Edition):

Schroeder, Jonathan Paul. “Visualizing patterns in U.S. Urban population trends.” 2009. Web. 25 Aug 2019.

Vancouver:

Schroeder JP. Visualizing patterns in U.S. Urban population trends. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 Aug 25]. Available from: http://purl.umn.edu/48076.

Council of Science Editors:

Schroeder JP. Visualizing patterns in U.S. Urban population trends. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/48076


McMaster University

18. Cheam, Amay SM. Mixture models for ROC curve and spatio-temporal clustering.

Degree: PhD, 2016, McMaster University

Finite mixture models have had a profound impact on the history of statistics, contributing to modelling heterogeneous populations, generalizing distributional assumptions, and lately, presenting a… (more)

Subjects/Keywords: Finite mixture models; ROC curve; Spatio-temporal data; Functional data; Model-based clustering; EM algorithm

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APA (6th Edition):

Cheam, A. S. (2016). Mixture models for ROC curve and spatio-temporal clustering. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20693

Chicago Manual of Style (16th Edition):

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Doctoral Dissertation, McMaster University. Accessed August 25, 2019. http://hdl.handle.net/11375/20693.

MLA Handbook (7th Edition):

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Web. 25 Aug 2019.

Vancouver:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/11375/20693.

Council of Science Editors:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20693


University of Texas – Austin

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

Degree: 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. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3328

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):

Ziotopoulos, Agisilaos Georgios. “Design of platforms for computing context with spatio-temporal locality.” 2011. Thesis, University of Texas – Austin. Accessed August 25, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3328.

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

MLA Handbook (7th Edition):

Ziotopoulos, Agisilaos Georgios. “Design of platforms for computing context with spatio-temporal locality.” 2011. Web. 25 Aug 2019.

Vancouver:

Ziotopoulos AG. Design of platforms for computing context with spatio-temporal locality. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3328.

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

Council of Science Editors:

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

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


University of Minnesota

20. 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 August 25, 2019. http://hdl.handle.net/11299/175463.

MLA Handbook (7th Edition):

Hendawi, Abdeltawab. “Scalable Spatial Predictive Query Processing for Moving Objects.” 2015. Web. 25 Aug 2019.

Vancouver:

Hendawi A. Scalable Spatial Predictive Query Processing for Moving Objects. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Aug 25]. 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 Minnesota

21. Chen, Xi. Unsupervised methods to discover events from spatio-temporal data.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Unsupervised event detection in spatio-temporal data aims to autonomously identify when and/or where events occurred with little or no human supervision. It is an active… (more)

Subjects/Keywords: event detection; heterogeneous data; missing value; noise; spatio-temporal data; unsupervised learning

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APA (6th Edition):

Chen, X. (2016). Unsupervised methods to discover events from spatio-temporal data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188854

Chicago Manual of Style (16th Edition):

Chen, Xi. “Unsupervised methods to discover events from spatio-temporal data.” 2016. Doctoral Dissertation, University of Minnesota. Accessed August 25, 2019. http://hdl.handle.net/11299/188854.

MLA Handbook (7th Edition):

Chen, Xi. “Unsupervised methods to discover events from spatio-temporal data.” 2016. Web. 25 Aug 2019.

Vancouver:

Chen X. Unsupervised methods to discover events from spatio-temporal data. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/11299/188854.

Council of Science Editors:

Chen X. Unsupervised methods to discover events from spatio-temporal data. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/188854


University of Illinois – Urbana-Champaign

22. Shand, Lyndsay Elizabeth. Methods and applications for space-time data.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Spatial and spatio-temporal data are presented in a variety of forms and require a unique set of techniques to analyze. The goal of such analyses… (more)

Subjects/Keywords: Spatio-temporal data; Nonstationary models; Areal data; Conditional autoregressive (CAR) model; Copula models

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APA (6th Edition):

Shand, L. E. (2017). Methods and applications for space-time data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97696

Chicago Manual of Style (16th Edition):

Shand, Lyndsay Elizabeth. “Methods and applications for space-time data.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 25, 2019. http://hdl.handle.net/2142/97696.

MLA Handbook (7th Edition):

Shand, Lyndsay Elizabeth. “Methods and applications for space-time data.” 2017. Web. 25 Aug 2019.

Vancouver:

Shand LE. Methods and applications for space-time data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/2142/97696.

Council of Science Editors:

Shand LE. Methods and applications for space-time data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97696

23. Saint-Marc, Cécile. Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system.

Degree: Docteur es, Modèles, méthodes et algorithmes en biologie, santé et environnement, 2017, Grenoble Alpes

Cette thèse a été conduite dans le cadre d’une convention industrielle avec SNCF Réseau. Elle se situe dans le domaine de la géovisualisation d’informations spatio-temporelles,… (more)

Subjects/Keywords: Géovisualisation; Risques naturels; Inondations; Système ferroviaire; Données spatio-Temporelles; Geovisualization; Natural risks; Floods; Railway system; Spatio-Temporal data; 004; 910

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APA (6th Edition):

Saint-Marc, C. (2017). Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2017GREAS024

Chicago Manual of Style (16th Edition):

Saint-Marc, Cécile. “Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system.” 2017. Doctoral Dissertation, Grenoble Alpes. Accessed August 25, 2019. http://www.theses.fr/2017GREAS024.

MLA Handbook (7th Edition):

Saint-Marc, Cécile. “Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system.” 2017. Web. 25 Aug 2019.

Vancouver:

Saint-Marc C. Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2017. [cited 2019 Aug 25]. Available from: http://www.theses.fr/2017GREAS024.

Council of Science Editors:

Saint-Marc C. Formalisation et géovisualisation d'événements historiques issus de risques naturels pour la compréhension des dynamiques spatiales : application aux inondations ayant touché le système ferroviaire français : Formalization and geovisualization of historical natural risk events to understand spatial dynamics : application to floods impacting the French railway system. [Doctoral Dissertation]. Grenoble Alpes; 2017. Available from: http://www.theses.fr/2017GREAS024


The Ohio State University

24. Brynjarsdóttir, Jenný. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.

Degree: PhD, Statistics, 2011, The Ohio State University

  The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. Examples include data obtained from remote sensing… (more)

Subjects/Keywords: Statistics; Dimension reduction; spatio-temporal modeling; Bayesian hierarchical model; data-dependent basis vectors; statistical downscaling

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APA (6th Edition):

Brynjarsdóttir, J. (2011). Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520

Chicago Manual of Style (16th Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Doctoral Dissertation, The Ohio State University. Accessed August 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

MLA Handbook (7th Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Web. 25 Aug 2019.

Vancouver:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2019 Aug 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

Council of Science Editors:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520


Baylor University

25. Patrick, Joshua D. (Joshua Daniel). Semiparametric estimation and forecasting for functional-coefficient autoregressive models.

Degree: Statistical Sciences., 2013, Baylor University

 The functional-coefficient autoregressive (FCAR) model is a useful structure for reducing the size of the class of nonlinear time series models. Local linear regression has… (more)

Subjects/Keywords: Functional-coefficient autoregressive models.; Forecasting.; Spline-backfitted kernel estimation.; Photovoltaic irradiance data.; Spatio-temporal model.

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APA (6th Edition):

Patrick, J. D. (. D. (2013). Semiparametric estimation and forecasting for functional-coefficient autoregressive models. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8780

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):

Patrick, Joshua D (Joshua Daniel). “Semiparametric estimation and forecasting for functional-coefficient autoregressive models. ” 2013. Thesis, Baylor University. Accessed August 25, 2019. http://hdl.handle.net/2104/8780.

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

MLA Handbook (7th Edition):

Patrick, Joshua D (Joshua Daniel). “Semiparametric estimation and forecasting for functional-coefficient autoregressive models. ” 2013. Web. 25 Aug 2019.

Vancouver:

Patrick JD(D. Semiparametric estimation and forecasting for functional-coefficient autoregressive models. [Internet] [Thesis]. Baylor University; 2013. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/2104/8780.

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

Council of Science Editors:

Patrick JD(D. Semiparametric estimation and forecasting for functional-coefficient autoregressive models. [Thesis]. Baylor University; 2013. Available from: http://hdl.handle.net/2104/8780

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


University of Manchester

26. Orlinski, Matthew. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.

Degree: PhD, 2013, University of Manchester

 Pocket Switched Networks (PSNs) offer a means of infrastructureless inter-human communication by utilising Delay and Disruption Tolerant Networking (DTN) technology. However, creating PSNs involves solving… (more)

Subjects/Keywords: 004.6; Pocket switched networks; Neighbour discovery; Distributed spatio-temporal clustering; Opportunistic data delivery; Wireless networks

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APA (6th Edition):

Orlinski, M. (2013). Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101

Chicago Manual of Style (16th Edition):

Orlinski, Matthew. “Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.” 2013. Doctoral Dissertation, University of Manchester. Accessed August 25, 2019. https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101.

MLA Handbook (7th Edition):

Orlinski, Matthew. “Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.” 2013. Web. 25 Aug 2019.

Vancouver:

Orlinski M. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Aug 25]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101.

Council of Science Editors:

Orlinski M. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101


University of Canterbury

27. Teng, Gloria Ai Hui. Statistical Regular Pavings and their Applications.

Degree: Department of Mathematics and Statistics, 2013, University of Canterbury

 We propose using statistical regular pavings (SRPs) as an efficient and adaptive statistical data structure for processing massive, multi-dimensional data. A regular paving (RP) is… (more)

Subjects/Keywords: histogram estimation; nonparametric density estimation; Markov Chain Monte Carlo; spatio-temporal data; statistical regular pavings

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APA (6th Edition):

Teng, G. A. H. (2013). Statistical Regular Pavings and their Applications. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/7604

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):

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Thesis, University of Canterbury. Accessed August 25, 2019. http://hdl.handle.net/10092/7604.

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

MLA Handbook (7th Edition):

Teng, Gloria Ai Hui. “Statistical Regular Pavings and their Applications.” 2013. Web. 25 Aug 2019.

Vancouver:

Teng GAH. Statistical Regular Pavings and their Applications. [Internet] [Thesis]. University of Canterbury; 2013. [cited 2019 Aug 25]. Available from: http://hdl.handle.net/10092/7604.

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

Council of Science Editors:

Teng GAH. Statistical Regular Pavings and their Applications. [Thesis]. University of Canterbury; 2013. Available from: http://hdl.handle.net/10092/7604

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


University of Tennessee – Knoxville

28. Yang, Jianjiang. SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC.

Degree: 2015, University of Tennessee – Knoxville

 Short-term traffic forecasting and missing data imputation can benefit from the use of neighboring traffic information, in addition to temporal data alone. However, little attention… (more)

Subjects/Keywords: short-term traffic forecasting; spatio-temporal correlation; data imputation; kriging; self-learning; Civil Engineering

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APA (6th Edition):

Yang, J. (2015). SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3315

Chicago Manual of Style (16th Edition):

Yang, Jianjiang. “SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC.” 2015. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed August 25, 2019. https://trace.tennessee.edu/utk_graddiss/3315.

MLA Handbook (7th Edition):

Yang, Jianjiang. “SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC.” 2015. Web. 25 Aug 2019.

Vancouver:

Yang J. SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2015. [cited 2019 Aug 25]. Available from: https://trace.tennessee.edu/utk_graddiss/3315.

Council of Science Editors:

Yang J. SPATIO-TEMPORAL DYNAMICS OF SHORT-TERM TRAFFIC. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_graddiss/3315


Universidade Nova

29. Pervin, Shiuli. Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City.

Degree: 2013, Universidade Nova

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Dhaka City is the capital of Bangladesh… (more)

Subjects/Keywords: Linked Open Data; Semantic Web; Administrative boundary; Geographic Information systems; Spatio-temporal changes; SAPO

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APA (6th Edition):

Pervin, S. (2013). Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9276

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):

Pervin, Shiuli. “Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City.” 2013. Thesis, Universidade Nova. Accessed August 25, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9276.

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

MLA Handbook (7th Edition):

Pervin, Shiuli. “Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City.” 2013. Web. 25 Aug 2019.

Vancouver:

Pervin S. Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2019 Aug 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9276.

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

Council of Science Editors:

Pervin S. Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9276

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


Universidade Nova

30. Li, Song. Knowledge discovery from trajectories.

Degree: 2009, Universidade Nova

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

As a newly proliferating study area, knowledge… (more)

Subjects/Keywords: Data mining; Elk; Knowledge discovery; Spatio-temporal patterns; Starkey project; Taxonomy; Theoretical framework; Trajectory

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

APA (6th Edition):

Li, S. (2009). Knowledge discovery from trajectories. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2320

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, Song. “Knowledge discovery from trajectories.” 2009. Thesis, Universidade Nova. Accessed August 25, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2320.

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

MLA Handbook (7th Edition):

Li, Song. “Knowledge discovery from trajectories.” 2009. Web. 25 Aug 2019.

Vancouver:

Li S. Knowledge discovery from trajectories. [Internet] [Thesis]. Universidade Nova; 2009. [cited 2019 Aug 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2320.

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

Council of Science Editors:

Li S. Knowledge discovery from trajectories. [Thesis]. Universidade Nova; 2009. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2320

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

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