Results 71 to 80 of about 3,055,467 (232)
Frontiers in PhysicsThe spatial autocorrelation method is an important method for extracting the velocity dispersion curve from microtremor data. However, site data typically cannot strictly meet spatial and temporal stationary feature, and this greatly affects the accuracy
Qingling Du +4 more
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Althea Medical JournalBackground: Dengue is a viral infection transmitted to humans through the bite of Aedes aegypti and Ae. Albopictus mosquitoes. Demographic factors that may influence the development and prevalence of dengue cases include variations in population density,
Norjanah Norjanah, Muhammad Rasyid Ridha
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Analyzing migration phenomena with spatial autocorrelation techniques [PDF]
Territorio Italia, 2013 In less than one century, Italy has tested a strong intensification of immigration changing from a country originating great migration flows to a country which is the destination of migration flows.
Giuseppe Borruso, Beniamino Murgante
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Spatial autocorrelation reduces model precision and predictive power in deforestation analyses
, 2017 Generalized linear models are often used to identify covariates of landscape processes and to model land-use change. Generalized linear models however, overlook the spatial component of land-use data, and its effects on statistical inference.
K. Mets, D. Armenteras, L. Dávalos
semanticscholar +1 more source
SPATIAL AND SECTORAL PRODUCTIVITY CONVERGENCE BETWEEN EUROPEAN REGIONS, 1975-2000 [PDF]
This paper analyzes the evolution of labor productivity disparities among 145 European regions over 1975-2000 according to the concepts of ƒã- and ƒÒ-convergence and emphasizes the importance of including spatial effects and a disaggregated analysis at a
Julie Le Gallo, Sandy Dall'erba
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Forecasting Regional Labor Market Developments under Spatial Autocorrelation
, 2007 Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level and, therefore, require regional forecasts. The data available to compute regional forecasts are usually a pseudo panel of a limited number
Simonetta Longhi +5 more
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Spatial Dependence of Prices for Vegetables and Fruits
Пространственная экономикаThis article presents the results of the analysis of spatial autocorrelation of daily prices for 8 types of fruit and vegetables (potatoes, cabbage, carrots, tomatoes, grapes, tangerines, apples, persimmons) in 2096 municipal districts of Russia for 2021–
Venera Maratovna Timiryanova +3 more
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Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany [PDF]
The geographical distribution and persistence of regional/local unemployment rates in heterogeneous economies (such as Germany) have been, in recent years, the subject of various theoretical and empirical studies.
Norbert Schanne +3 more
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Random forest and spatial cross-validation performance in predicting species abundance distributions
Environmental Systems ResearchRandom forests (RF) have been widely used to predict spatial variables. Several studies have shown that spatial cross-validation (CV) methods consistently cause RF to yield larger prediction errors compared to standard CV methods. This study examined the
Ciza Arsène Mushagalusa +2 more
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BANDWIDTH SELECTION FOR SPATIAL HAC AND OTHER ROBUST COVARIANCE ESTIMATORS [PDF]
This research note documents estimation procedures and results for an empirical investigation of the performance of the recently developed spatial, heteroskedasticity and autocorrelation consistent (HAC) covariance estimator calibrated with different ...
Raymond J.G.M. Florax +2 more
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