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ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Title
ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Author
Hohl, Alexander
Date Created
2018
Description
The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automated geocoding abilities and social media platforms, such as Facebook or Twitt...
ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Title
ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Author
Hohl, Alexander
Date Created
2018
Subjects--Topical
Geography
Description
The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automated geocoding abilities and social media platforms, such as Facebook or Twitt...
LARGE-SCALE SPATIOTEMPORAL MODELING OF URBAN GROWTH WITH CYBERINFRASTRUCTURE: A SURROGATE-BASED APPROACH
Title
LARGE-SCALE SPATIOTEMPORAL MODELING OF URBAN GROWTH WITH CYBERINFRASTRUCTURE: A SURROGATE-BASED APPROACH
Author
Feng, Wenpeng
Date Created
2017
Description
Spatiotemporal simulations can provide critical insights to understand the underlying mechanisms of complex geographic phenomena. Therefore, spatiotemporal simulations play a vitally important role in solving the global geographic problems such as...
LARGE-SCALE SPATIOTEMPORAL MODELING OF URBAN GROWTH WITH CYBERINFRASTRUCTURE: A SURROGATE-BASED APPROACH
Title
LARGE-SCALE SPATIOTEMPORAL MODELING OF URBAN GROWTH WITH CYBERINFRASTRUCTURE: A SURROGATE-BASED APPROACH
Author
Feng, Wenpeng
Date Created
2017
Subjects--Topical
Geography
Description
Spatiotemporal simulations can provide critical insights to understand the underlying mechanisms of complex geographic phenomena. Therefore, spatiotemporal simulations play a vitally important role in solving the global geographic problems such as...
Spatially Explicit Hyperparameter Optimization for Neural Networks
Title
Spatially Explicit Hyperparameter Optimization for Neural Networks
Author
Zheng, Minrui
Date Created
2020
Description
Neural networks as a commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in GIScience domain to explore the nonlinear geographic phenomena. Howev...
Spatially Explicit Hyperparameter Optimization for Neural Networks
Title
Spatially Explicit Hyperparameter Optimization for Neural Networks
Author
Zheng, Minrui
Date Created
2020
Subjects--Topical
Geodesy
Description
Neural networks as a commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in GIScience domain to explore the nonlinear geographic phenomena. Howev...