Results 171 to 180 of about 18,701 (220)
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GWR, MAUP et lissage par potentiels
Revue internationale de géomatique, 2005La regression geographiquement pondereee (GWR selon l'acronyme anglais) permet la medelisation de la variation spatiale des relations entre phenomenes. Elle est toutefois particulierement sensible au MAUP (Modifiable Areal Unit Problem). A travers un exemple theorique, cet article vise d'abord a montrer l'interet comme les faiblesses de la methode ...
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Multivariate Kernels in GWR Model to Identify Climatic Micro-Basins
2011 International Conference on Management and Service Science, 2011The 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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Measuring Urban Configuration: A GWR Approach
2018The relationship between accessibility, as a measure of the fixed location of the property, and land value is well recognized. Space Syntax theory was developed as a set of tools to analyze relationships between structures and functions of cities introducing accessibility measures of the urban grid.
Konstantinos Lykostratis +2 more
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Efficient GWR Solution by TR and CA
2019One of the major source of global warming is the increasing use of automobiles which contributes to 30% in developed countries and 20% in developing countries. Globally, 15% of man made carbon dioxide comes from cars, trucks and other vehicles. Reducing transportation emissions is one of the most vital steps in fighting global warming and solutions to ...
V. C. Mahavishnu +3 more
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The Spatial Analysis for Poverty in Malaysia Using the GWR and the PSDM GWR Model
Semarak International Journal of Entrepreneurship, Economics, and Business DevelopmentThis research examines poverty inequalities from every angle, including their origins, effects on people and communities, and possible governmental responses to the problem. The population density, unemployment rate, non-citizen rate, median income, Gini income, mean expenses, crime rate, and COVID-19 incidence rate were among the factors that were ...
Nur Edayu Zaini +4 more
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Mapping Stakeholders of Graduate Work-Readiness (GWR)
2018Using 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. +2 more
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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 +2 more
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The Main Works of the Former GWR
1988The history of the Southern Railway (SR) began with the opening in 1803 of the Surrey Iron Railway, the first public rail transport undertaking in the world. The earliest workshop accommodation in south-east London was provided for the London to Greenwich Railway, opened in 1836, by which time the railways were proliferating, with the opening of the ...
Edgar J. Larkin, John G. Larkin
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Spatial Modeling of Crime by Using of GWR Method
2016 Baltic Geodetic Congress (BGC Geomatics), 2016Since the location, human and time are three major factors in incidence of delinquency which includes drug smuggling, therefore, geographic analysis of type and amount of crimes, analysis of social and economic features of perpetrators and their residence place provide suitable opportunity for confronting and controlling abusing and drug smuggling or ...
Somayeh Nezami, Ehsan Khoramshahi
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Spatial interpolation via GWR, a plausible alternative?
2009 17th International Conference on Geoinformatics, 2009Spatial 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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