Results 181 to 190 of about 10,807 (223)

Multivariate Kernels in GWR Model to Identify Climatic Micro-Basins

2011 International Conference on Management and Service Science, 2011
The aim of this work is to quantify the effect of temperature and precipitation on Normalized Difference Vegetation Index (NDVI). The relations between variables are analysed at the local level by estimating three GWR models. In an innovative way we apply some multivariate kernels to GWR models to better understand and examine the effect of spatial ...
MUCCIARDI, Massimo, BERTUCCELLI, PIETRO
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The NCSTAR model as an alternative to the GWR model

Physica A: Statistical Mechanics and its Applications, 2005
Abstract This paper compares the GWR model, usually used to integrate and examine the spatial heterogeneity of a relationship, and the NCSTAR model. The former will give a vector of local parameter estimates for each observation of the data set, according to its nearest neighbors in space.
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Mapping Stakeholders of Graduate Work-Readiness (GWR)

2018
Using stakeholder theory this chapter maps and identifies the key stakeholders associated with the process and evaluation of GWR. From a shared value perspective three key stakeholder groups are identified: higher education institutions who are responsible for developing the GWR attributes of their graduates; governments who are responsible for ...
Nankervis, A., Verma, P., Dhakal, Subas P.   +2 more
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KERNEL FUNCTIONS IN GWR MODEL

2011
Edited by Paola Cerchiello – Claudia ...
MUCCIARDI, Massimo, BERTUCCELLI, PIETRO
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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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La régression géographiquement pondérée : GWR

Cette fiche présente la réalisation d’une analyse de données à l’aide de la régression géographique pondérée ou GWR (Geographical Weighted Regression). La modélisation statistique dite “classique” présente des risques élevés lorsqu’on souhaite traiter des données spatiales.
Audard, Frédéric, Le Campion, Grégoire, Pierson, Julie   +2 more
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Application of the GWR Method to the Tropical Indian Ocean*

Monthly Weather Review, 2001
The gravity wave retardation (GWR) method is a simple technique that allows layer models to include bottom topography. Here the method is applied, and its accuracy is evaluated, for monthly climatological wind forcing in an Indian Ocean model with realistic bottom topography.
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Local Analysis of Spatial Relationships: A Comparison of GWR and the Expansion Method

2005
Considerable attention has been paid in recent years to the use and development of local forms of spatial analysis, including the method known as geographically weighted regression (GWR). GWR is a simple, yet conceptually appealing approach for exploring spatial non-stationarity that has been described as a natural evolution of the expansion method ...
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OLS and GWR Approaches to Agricultural Convergence in the EU-15

International Advances in Economic Research, 2009
This paper contributes to the current debate moderated by the European Commission on the territorial dimension of the economic and social cohesion, investigating the role of the CAP in the agricultural convergence process across a sample of 166 EU-15 regions at NUTS2 level from 1995-2005.
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Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)

Environment and Planning A: Economy and Space, 2008
Interaction terms are constructed with georeferenced attribute variables and spatial filter eigenvectors, and then used to compute geographically varying regression coefficients. These coefficients, which are analogous to geographically weighted regression (GWR) coefficients, display preferable properties, and this specification is used to critique ...
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