Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"Spatio-temporal analysis"”.
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Spatio-temporal analysis in functional brain imaging
… accuracy of source localization by incorporating spatio-temporal models into the reconstruction procedure. First, we introduce a novel method for current source estimation, which we call the l₁l₂-norm source estimator. The underlying model captures the sparseness of the active areas in space while …
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Spatio-Temporal Analysis of Observed Soil Moisture from Nebraska
… these stations are evaluated on the spatial and temporal scales using spatial interpolations, time-series analysis, and cross-correlations to better understand the variations of soil moisture in the Northern Great Plains. Spatial interpolation grids were created for May through October of 2005, …
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Spatio-Temporal Analysis of Flows Close to Free Water Surfaces
… novel measurement technique is developed for the spatio-temporal analysis of flows close to free water surfaces. A fluid volume is illuminated by LEDs. Small spherical particles are added to the fluid, functioning as a tracer. A camera pointing to the water surface from above records the image …
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Spatio-Temporal Analysis of Urban Data and its Application for Smart Cities
… electricity demand etc. In this work, we perform spatio-temporal analysis of various urban datasets collected from different urban application areas. We start with presenting a framework for predicting traffic demand around a location of interest and explain how it can be used to analyze other …
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Spatio–temporal analysis of changes of shape for constituent bodies within biomolecular aggregates
Changes of shape are important in many situations of interest in biology at different typical length scales. Approaches for modelling the behaviour of droplets in suspension and thermallydriven motion of the molecular chains in enzymes are presented. Both models use orthogonal basis functions to …
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Spatio-temporal analysis of florigenic signals in Arabidopsis thaliana, Sinapis alba and Brassica napus
… – mass spectrometry and targeted protein analysis using antibodies. All analyses were performed on tissue-specific samples and focused on phloem sap or phloem exudates. To find common transcript and metabolite candidates potentially associated with the floral transition, two independent …
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An Experimental Spatio-Temporal Analysis of Separated Flows Over Bluff Bodies Using Quantitative Flow Visualization
… with symmetric boundary conditions. The present spatio-temporal analysis demonstrated coexistence of two types of streamwise vortices in the wake, bilge and braid type of vortices. These may be due to the three dimensionality introduced by the free surface. In addition, the sufficient time …
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Spatio-Temporal Analysis of Highway Congestion and Accidents: A Case Study of Interstate 285 in Georgia
… crashes. The aim of this study is to investigate spatio-temporal traffic congestion and crash patterns to gain a better understanding of the causation of congestion and accidents, and their interaction. The Interstate 285 (I-285) in Georgia was used as a case study. With the aid of Geographic …
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Spatio-temporal analysis of coastal sediment erosion in Cape Town through remote sensing and geoinformation science
… advantage of multisensory, multi-scale and multi-temporal modern spatial technologies for multi-dimensional coastline change monitoring. The research presented here intends to showcase the synergy amongst remote sensing techniques by showcasing the use of coastal indicators towards shoreline …
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A New Orleans State of Crime: Spatio-Temporal Analysis of Shifting Homicide Patterns In Post-Hurricane Katrina New Orleans, LA
… years, 2002 to 2008, and compare spatial and temporal patterns via GIS. NOPD homicide location data were geocoded and analyzed in ESRI's ArcGIS geospatial software. Methodologies of hotspot detection included point maps, choropleth graduated color maps, and quartic kernel density maps. The …
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Predicción de la demanda de pasajeros a clústeres de estaciones del Metropolitano usando métodos de Data Mining, la metodología Box-Jenkins y Sarima
… demand of station clusters using SARIMA from a spatio-temporal analysis using two data mining methods and the Box-Jenkins methodology to get the best possible model for cluster. The results of the spatio-temporal analysis showed similar behavior between stations when grouped into clusters with …
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Spatio-temporal comparative analysis of scooter share in Washington D.C.
Geospatial-temporal data for different e-scooter firms was collected and investigated for differences in e-scooter usage patterns among customers of the firms. Computational analysis using predictive algorithms and correlation analysis was done to find co-relationally important features for …
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How the Heart Grows: From Multi-scale Data to a Multi-scale Model
… data, able to capture the spatial and temporal dynamics of C-looping at the tissue level. Thirdly, a state-of-the-art convolutional neural network approach was utilised to segment individual myocardial cells within the hearts. The individual segmented cells were mapped onto the …
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Confronting Glacial Hazards: A Study of Disaster Impact and Community Adaptation to Glacial Lake Outburst Floods in Hunza, Pakistan
… strategies. The study uses a combination of spatio-temporal analysis as well as qualitative field research. Findings indicate that areas closest to the Hassanabad ‘nullah’ (ravine) have suffered immensely from land losses through erosion and continue to be vulnerable to potential occurrences …
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Geostatistical methods for disease prevalence mapping
… as to account for two main sources of variation: temporal variation, when surveys are repeated over time; data-quality variation, e.g. between randomised and non-randomised surveys. We then propose a multivariate binomial geostatistical model for the combined analysis of data from multiple …
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Efficient Algorithms for Mining Large Spatio-Temporal Data
Knowledge discovery on spatio-temporal datasets has attracted<br />growing interests. Recent advances on remote sensing technology mean<br />that massive amounts of spatio-temporal data are being collected,<br />and its volume keeps increasing at an ever faster pace. It becomes<br />critical to …
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