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地理加权回归分析技术综述.
卢宾宾， 葛咏， 秦昆， 郑江华 - Geomatics & Information …, 2020 - search.ebscohost.com
空间数据关系中的异质性或非**稳性特征是**期空间统计或相关应用领域的研究热点之一,
而局部空间统计分析技术的提出与发展是其关键环节. 地理加权回归分析技术(geographically …
而局部空间统计分析技术的提出与发展是其关键环节. 地理加权回归分析技术(geographically …
Increasing tropical cyclone intensity in the western North Pacific partly driven by warming Tibetan Plateau
The increase in intense tropical cyclone (TC) activity across the western North Pacific (WNP)
has often been attributed to a warming ocean. However, it is essential to recognize that the …
has often been attributed to a warming ocean. However, it is essential to recognize that the …
[HTML][HTML] Unraveling carbon stock dynamics and their determinants in China's Loess Plateau over the past 40 years
Synergies and trade-offs among land use and land covers (LULCs) pose considerable
uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this …
uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this …
[HTML][HTML] An ensemble framework for explainable geospatial machine learning models
Analyzing spatially varying effects is pivotal in geographic analysis. However, accurately
capturing and interpreting this variability is challenging due to the increasing complexity and …
capturing and interpreting this variability is challenging due to the increasing complexity and …
High-performance solutions of geographically weighted regression in R
As an established spatial analytical tool, Geographically Weighted Regression (GWR) has
been applied across a variety of disciplines. However, its usage can be challenging for large …
been applied across a variety of disciplines. However, its usage can be challenging for large …
A comparison of residential apartment rent price predictions using a large data set: Kriging versus deep neural network
Despite several attempts to compare and examine the predictive accuracy of real estate
sales and rent prices between the regression‐based and neural‐network (NN)‐based …
sales and rent prices between the regression‐based and neural‐network (NN)‐based …
[HTML][HTML] GWmodelS: A software for geographically weighted models
Spatial heterogeneity or non-stationarity has become a popular and necessary concern in
exploring relationships between variables. In this regard, geographically weighted (GW) …
exploring relationships between variables. In this regard, geographically weighted (GW) …
GWmodelS: a standalone software to train geographically weighted models
With the recent increase in studies on spatial heterogeneity, geographically weighted (GW)
models have become an essential set of local techniques, attracting a wide range of users …
models have become an essential set of local techniques, attracting a wide range of users …
[HTML][HTML] SpatioTemporal Random Forest and SpatioTemporal Stacking Tree: A novel spatially explicit ensemble learning approach to modeling non-linearity in …
Y Luo, S Su - International Journal of Applied Earth Observation and …, 2025 - Elsevier
A wide variety of spatially explicit modeling algorithms has recently mushroomed in
geoinformation research. These algorithms establish local models with data from spatially …
geoinformation research. These algorithms establish local models with data from spatially …
A cost-effective algorithm for calibrating multiscale geographically weighted regression models
The multiscale geographically weighted regression (MGWR) model is a useful extension of
the geographically weighted regression (GWR) model. MGWR, however, is a kind of …
the geographically weighted regression (GWR) model. MGWR, however, is a kind of …