A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2. 5
R Zhao, L Zhan, M Yao, L Yang - Sustainable Cities and Society, 2020 - Elsevier
This study develops an augmented geographically weighted regression (GWR) model to
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
GWmodel: an R package for exploring spatial heterogeneity using geographically weighted models
Spatial statistics is a growing discipline providing important analytical techniques in a wide
range of disciplines in the natural and social sciences. In the R package GWmodel, we …
range of disciplines in the natural and social sciences. In the R package GWmodel, we …
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
In this study, we present a collection of local models, termed geographically weighted (GW)
models, which can be found within the GWmodel R package. A GW model suits situations …
models, which can be found within the GWmodel R package. A GW model suits situations …
Spatially weighted PCA for monitoring video image data with application to additive manufacturing
BM Colosimo, M Grasso - Journal of Quality Technology, 2018 - Taylor & Francis
Abstract Machine vision systems for in-line process monitoring in advanced manufacturing
applications have attracted an increasing interest in recent years. One major goal is to …
applications have attracted an increasing interest in recent years. One major goal is to …
Geographically weighted principal components analysis to assess diffuse pollution sources of soil heavy metal: application to rough mountain areas in Northwest …
S Fernández, T Cotos-Yanez, J Roca-Pardiñas… - Geoderma, 2018 - Elsevier
Heavy metal pollution can result in the degradation of the soil, air and water bodies' quality
affecting the health of all living organism. We analyze the spatial distribution of the …
affecting the health of all living organism. We analyze the spatial distribution of the …
[HTML][HTML] A statistically based fault detection and diagnosis approach for non-residential building water distribution systems
Large non-residential buildings can contain complex and often inefficient water distribution
systems. As requirements for water increase due to water scarcity and industrialization, it …
systems. As requirements for water increase due to water scarcity and industrialization, it …
Outlier detection in high dimensional data
High-dimensional data poses unique challenges in outlier detection process. Most of the
existing algorithms fail to properly address the issues stemming from a large number of …
existing algorithms fail to properly address the issues stemming from a large number of …
Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India
Delineation of management zones (MZs) are needed to manage fields in order to maximize
economic return, minimize environmental impact, and improve soil and crop management …
economic return, minimize environmental impact, and improve soil and crop management …
Spatial heterogeneity in Spain for senior travel behavior
Travel patterns are becoming more differentiated, influenced by new variables resulting from
changes in lifestyle. The relevance of the senior segment for this industry, with the …
changes in lifestyle. The relevance of the senior segment for this industry, with the …