Results 191 to 200 of about 23,511 (246)

Balancing integrated green-grey infrastructure shapes carbon emissions in village-town clusters. [PDF]

iScience
Sun ZY, Zhu X.
europepmc   +1 more source

Spatial patterns of childhood obesity clusters linked to socioeconomic inequalities. [PDF]

Front Public Health
Mazza O, Gluck C, Haim A, Bornstein RJ.
europepmc   +1 more source

Integrative Spatial Modelling of Cellular Plasticity using Graph Neural Networks and Geostatistics

Withnell E, Celik C, Secrier M.
europepmc   +1 more source

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4D-GWR: geographically, altitudinal, and temporally weighted regression

Neural Computing and Applications, 2022
Geographically weighted regression (GWR) models varying relationships and is a local spatial regression approach. It has been used in several application domains, such as meteorology, environmental management, ecology, etc. The datasets collected in these applications include spatial (latitude, longitude), altitudinal, and temporal nonstationarities ...
Murat Tasyurek, Mete Çelik
semanticscholar   +4 more sources

PEMODELAN FAKTOR-FAKTOR PENYEBAB KEMISKINAN DI PROVINSI SUMATERA UTARA MENGGUNAKAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)

JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM, 2023
Kemiskinan merupakan permasalahan multidimensi yang kompleks dan mencakup berbagai aspek. Akibat kompleksitas yang dimilikinya, penanggulangan kemiskinan memerlukan program yang terintegrasi dan tidak tumpang tindih.
Siti Hartina, Daulay, Elmanani Simamora, U. Medan   +3 more
semanticscholar   +1 more source

Evaluation of the effect of geographical parameters on the formation of the land surface temperature by applying OLS and GWR, A case study Shiraz City, Iran

, 2021
Examining the land surface temperature (LST) and its mechanism is very significant for urban planning.The purpose of this study is to determine the factors affecting the surface temperature of urban areas of Shiraz.
A. Kashki, M. Karami, R. Zandi, Zohreh Roki   +3 more
semanticscholar   +1 more source

2SLS estimation for the GWR-SL model

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
This paper set up a 2SLS framework to estimate and infer GWR-SL model (Geographically Weighted Regression with Spatially Lagged Objective Variable Model). 2SLS estimates can effectively reduce the computational complexity, and solved the unknown error distribution restrictions, expanding the GWR-SL model's estimation method.
null Huang Yanling, null Zhi-He Long
openaire   +1 more source

Impacts of Human Development Index and Percentage of Total Population on Poverty using OLS and GWR models in Central Java, Indonesia

EKSAKTA: Journal of Sciences and Data Analysis, 2021
Central Java province is one of the provinces with the highest number of poor people on the island of Java, with the number of poor people in 2020 increasing by 0.44 million people from the previous year.
Duhania Oktasya Mahara, Achmad Fauzan
semanticscholar   +1 more source

GWR, MAUP et lissage par potentiels

Revue internationale de géomatique, 2005
La 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 ...
openaire   +2 more sources

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
openaire   +2 more sources