Results 211 to 220 of about 23,511 (246)

Spatial interpolation via GWR, a plausible alternative?

2009 17th International Conference on Geoinformatics, 2009
Spatial interpolation can be done through either univariate methods that rely solely on the spatial structure of the data or by combining the spatial information and attribute information. Geographically weighted regression, although is used primarily in modeling the spatially varying relationships, falls within the category of combining both spatial ...
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KERNEL FUNCTIONS IN GWR MODEL

2011
Edited by Paola Cerchiello – Claudia ...
MUCCIARDI, Massimo, BERTUCCELLI, PIETRO
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mgwrhw: Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map

 Display processing results using the GWR (Geographically Weighted Regression) method, display maps, and show the results of the Mixed GWR (Mixed Geographically Weighted Regression) model which automatically selects global variables based on variability between regions. This function refers to  Yasin, & Purhadi. (2012).
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GRAVITON WAVE RESONANCE (GWR) THEORY

The Graviton Wave Resonance (GWR) theory emerged to understand certain cosmic phenomena that are not fully explained by classical physics or the theory of relativity. The goal of the theory is to explain the deep connection between gravity, matter, energy, and space, based on the idea that self-regulating resonant wave systems exist at all scales of ...
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Spatiotemporal differentiation of coupling coordination degree between economic development and water environment and its influencing factors using GWR in China's province

Ecological Modelling, 2021
Qian Zhang, Juqin Shen, F. Sun
semanticscholar   +1 more source

A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China.

Science of the Total Environment, 2021
Hong Wang, Fei Zang, Chuanyan Zhao, Chenli Liu   +3 more
semanticscholar   +1 more source

Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR

Stochastic environmental research and risk assessment (Print), 2021
Hao Li, Peihong Fu, Yong Yang, Xue Yang, Hongjie Gao, Ke Li   +5 more
semanticscholar   +1 more source

Developing geographic weighted regression (GWR) technique for monitoring soil salinity using sentinel-2 multispectral imagery

Environmental Earth Sciences, 2021
M. M. Taghadosi, M. Hasanlou
semanticscholar   +1 more source

Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR

Computers, Environment and Urban Systems, 2020
Chen Gao, Yongjiu Feng, X. Tong, Zhenkun Lei, Shurui Chen, Shuting Zhai   +5 more
semanticscholar   +1 more source

Spatially and temporally varying relationships between ecological footprint and influencing factors in China’s provinces Using Geographically Weighted Regression (GWR)

, 2020
Decun Wu
semanticscholar   +1 more source