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平稳性特征是近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] 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) …
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
H Seya, D Shiroi - Geographical Analysis, 2022 - Wiley Online Library
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] 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 …
Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
Employing a large dataset (at most, the order of n= 106), this study attempts enhance the
literature on the comparison between regression and machine learning-based rent price …
literature on the comparison between regression and machine learning-based rent price …
Gradient-based optimization for multi-scale geographically weighted regression
X Zhou, R Assunção, H Shao, CC Huang… - International Journal …, 2023 - Taylor & Francis
Multi-scale geographically weighted regression (MGWR) is among the most popular
methods to analyze non-stationary spatial relationships. However, the current model …
methods to analyze non-stationary spatial relationships. However, the current model …
A linearization for stable and fast geographically weighted Poisson regression
Although geographically weighted Poisson regression (GWPR) is a popular regression for
spatially indexed count data, its development is relatively limited compared to that found for …
spatially indexed count data, its development is relatively limited compared to that found for …
A cost-effective algorithm for calibrating multiscale geographically weighted regression models
B Wu, J Yan, H Lin - International Journal of Geographical …, 2022 - Taylor & Francis
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 …