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Spatial and Multivariate Statistics in Assessing Water Quality in the North Sea
The Southern North Sea region plays a vital role for both the economy and society of the surrounding countries. Analyzing the quality of your water...
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Multi-scale color constancy based on salient varying local spatial statistics
The human visual system unconsciously determines the color of the objects by “discounting” the effects of the illumination, whereas machine vision...
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A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis
Large-scale population surveys are beneficial in gathering information on the performance indicators of public well-being, including health and...
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Understanding Spatial Dependency Among Spatial Interactions
Spatial dependency exhibits special regularities in spatial interactions. Measuring spatial dependency among spatial interactions can help discover...
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Virtual Game on Everyday Statistics
This study explores the potential of gamified learning to enhance students’ engagement and understanding of statistics, a foundational yet...
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Undesignated Evacuation Site Location Characteristics: Identification by Mobile Spatial Statistics and Consideration of Support Methods
When a large-scale disaster occurs, disaster-affected people are evacuated to undesignated evacuation sites. Such evacuees are detected by reports to...
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Spatial modulation and recurrent neural network based equalizer for MIMO communication systems
Spatial multiplexing is a prominent feature of MIMO communication system to achieve higher spectral efficiency. Spatial modulation is an...
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The Rise of Spatial AI
Spatial AI is defined here as AI for spatial analysis, AI that is generated/created from spatial data and AI that is embedded in physical and/or...
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A spatial dependency based reinforcement learning model for selecting features in spatial classification
Traditional feature-based classification methods require objects to have the explicit, independent, and identifiable set of features, while most...
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Clustering algorithm based on Hopkins statistics and K-means
K-means has the advantages of fast clustering speed and fewer clustering parameters, but it is not suitable for clustering datasets with irregular...
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Feature distribution statistics as a loss objective for robust white balance correction
White balance (WB) correction is critical for accurate color reproduction in digital images, especially under complex, multi-illuminant lighting...
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Spatial Filtering for Improved Target Identification from Hyper Spectral Images
Hyper Spectral Imaging (HSI) is a powerful approach used in far flung sensing packages that captures spatially contiguous set of spectrum statistics...
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Spatial weighting: modification of the spatial area proximity matrix weights
Dengue hemorrhagic fever is a viral disease caused by a flavivirus that is transmitted by mosquitoes of the genus Aedes Aigepty. At present, there is...
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Regression applied to symbolic interval-spatial data
AbstractSymbolic data analysis is a research area related to machine learning and statistics, which provides tools to describe geo-objects, and...
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A spatial interpolation based on neighbor cluster adaptive model with spatial color block clustering algorithm
Accurate soil nutrient data are crucial for precise fertilizer recommendations in intelligent agriculture. However, the process of soil testing,...
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Privacy and Disclosure Risks in Spatial Dynamic Microsimulations
Microsimulations are used as a tool for evidence-based policy, to better understand the impact of policies on society. However, the quality of the...
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Spatial Data Science
Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve...
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Exploring the effectiveness of augmented reality in enhancing spatial reasoning skills: A study on mental rotation, spatial orientation, and spatial visualization in primary school students
The primary goal of this research was to examine the impact of Augmented Reality (AR) based virtual interaction and physical interaction on the...
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Spatial Indexing
Spatial data types advance the storage capabilities of SQL Server, allowing data that defines shape and location information. Before these...
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A Semi-supervised crowd counting method based on patch crowds statistics
Crowd counting has been widely applied in various fields including social security, urban planning, and intelligent monitoring. A series of excellent...
