Results 191 to 200 of about 50,725 (251)
Institutional Diversity in Banking and Economic Complexity
International Journal of Finance &Economics, EarlyView.ABSTRACT In this paper, we test whether institutional diversity in banking systems is beneficial to economic complexity, using data for Italian provinces in the period 1998–2017. We compute different indexes that consider diversity from an ownership, institutional, business model and competition point of view and find that higher diversity has a ...
Beniamino Pisicoli
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International Journal of Gynecology &Obstetrics, EarlyView.Abstract Introduction The disparity in maternal mortality and severe morbidity between high‐ and low‐income countries is well established. Previously, we highlighted within‐country disparities in Ethiopia using demographic and health survey data. This study used enhanced obstetric surveillance data to detect subnational hotspot areas and factors ...
Sisay Mulugeta Alemu +8 more
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Irrigation and Drainage, EarlyView.ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source
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2021
Spatial autocorrelation is an assessment of the correlation between two random variables which describe the same aspect of the phenomenon under study, referred to two locations of the domain. The suffix “auto” is justified since in some sense the spatial autocorrelation quantifies the correlation of a variable with itself over space.
Posa D., De Iaco S.
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Spatial autocorrelation is an assessment of the correlation between two random variables which describe the same aspect of the phenomenon under study, referred to two locations of the domain. The suffix “auto” is justified since in some sense the spatial autocorrelation quantifies the correlation of a variable with itself over space.
Posa D., De Iaco S.
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Spatial Interaction and Spatial Autocorrelation
2008The objective is to combine insights from two research traditions, spatial interaction modelling and spatial autocorrelation modelling, to deal with the issue of spatial autocorrelation in spatial interaction data analysis. First, the problem is addressed from an exploratory perspective for which a generalisation of the Getis–Ord G statistic is ...
Fischer, Manfred M. +2 more
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Geographic Information Science & Technology Body of Knowledge, 2005
Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
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Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
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A Biparametric Approach to Spatial Autocorrelation [PDF]
Environment and Planning A: Economy and Space, 1979 In spatial econometric models, autocorrelation among error terms is usually incorporated by means of the so-called contiguity matrix W, determining the interdependence between the spatial observations on the dependent variable. In this paper, the analysis is generalized by introducing two contiguity matrices, related to two autocorrelation parameters ...
A S Brandsma, R H Ketellapper
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Spatial pattern and spatial autocorrelation
1995The spatial pattern of a distribution is defined by the arrangement of individual entities in space and the geographic relationships among them. The capability of evaluating spatial patterns is a prerequisite to understanding the complicated spatial processes underlying the distribution of a phenomenon.
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2018
This chapter respects the six procedures of spatial autocorrelation covered by myGeoffice©, including variogram setup and fitness, Moran I correlograms, an innovative version of the conventional Moran scatterplot and the recent Moran variance scatterplot.
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This chapter respects the six procedures of spatial autocorrelation covered by myGeoffice©, including variogram setup and fitness, Moran I correlograms, an innovative version of the conventional Moran scatterplot and the recent Moran variance scatterplot.
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Spatial autocorrelation and toponym ambiguity
Proceedings of the 5th Workshop on Geographic Information Retrieval, 2008In this paper, we explore the spatial distribution of the referents of ambiguous toponyms and compare it to the distribution of randomly selected unambiguous toponym pairs. We show that for a number of gazetteers, ambiguous toponyms are spatially autocorrelated and that typical autocorrelations are similar to the size of document scopes for a newspaper
Brunner, Tobias J, Purves, Ross S
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