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Showing 1 to 3 of 3 for “"Spatio-temporal data analysis"”.

  1. DENSITY BASED FRAMEWORKS FOR SPATIO-TEMPORAL CHANGE ANALYSIS

    Analyzing change in spatial data is important for many different domains such as biology, ecology, meteorology, medicine, transportation, and forestry. On the other hand, density functions have served as a valuable tool in data mining. However, the development of spatiotemporal data mining …

    houston Repository record for DENSITY BASED FRAMEWORKS FOR SPATIO-TEMPORAL CHANGE ANALYSIS (opens in a new tab)

  2. The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting

    Spatio-temporal data analysis involves modeling a variable observed at different locations over time. A key component of space-time modeling is determining the spatial scale of the data. This dissertation addresses the following three questions: 1) How does spatial aggregation impact the properties …

    temple Repository record for The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting (opens in a new tab)

  3. Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts

    … sensors and sensor networks, different types of spatio-temporal data are increasingly available. Spatio-temporal data analysis has applications in many fields, including criminology, epidemiology, and traffic analysis. The main focus of this research is to develop a generic analysis framework …

    houston Repository record for Satpura: A Novel Framework for Density Estimation, Hotspot Discovery, Change Analysis, and Change-based Alerts (opens in a new tab)