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Accident Analysis and Prevention
Methodological advancements in road safety research reveal an increasing inclination toward integrating spatial approaches in hot spot identification, spatial pattern analysis, and developing spatially lagged models.
Wondwossen Taddesse Gedamu +2 more
semanticscholar +1 more source
Methodological advancements in road safety research reveal an increasing inclination toward integrating spatial approaches in hot spot identification, spatial pattern analysis, and developing spatially lagged models.
Wondwossen Taddesse Gedamu +2 more
semanticscholar +1 more source
Ore Geology Reviews, 2019
Multivariate geochemical anomaly identification is one of the most important tasks in exploration geochemical data analysis. This paper proposes a new approach to identify multivariate geochemical anomalies which accounts for the degree of spatial ...
T. T. Nguyen, T. Vu
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Multivariate geochemical anomaly identification is one of the most important tasks in exploration geochemical data analysis. This paper proposes a new approach to identify multivariate geochemical anomalies which accounts for the degree of spatial ...
T. T. Nguyen, T. Vu
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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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Regional Science and Urban Economics, 2017
Although spatial heterogeneity and spatial dependence are two cornerstones of spatial econometrics, models and methods for dealing at the same time with both issues are still rare in the literature, with few notable exceptions.
G. Geniaux, Davide Martinetti
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Although spatial heterogeneity and spatial dependence are two cornerstones of spatial econometrics, models and methods for dealing at the same time with both issues are still rare in the literature, with few notable exceptions.
G. Geniaux, Davide Martinetti
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Information Processing & Management, 2019
Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether
Kai Hu +9 more
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Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether
Kai Hu +9 more
semanticscholar +1 more source
Estimating Spatial Autocorrelation With Sampled Network Data
Journal of Business and Economic Statistics, 2017Yundong Tu, Yuxin Chen, Hansheng Wang
exaly +2 more sources
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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Journal of Applied Remote Sensing, 2019
. The spatial heterogeneity of urban vegetation obtained from discrete land cover classes is sensitive to classification errors and can result in a substantial loss of information, due to the degradation of continuous quantitative information.
P. Kowe, O. Mutanga, J. Odindi, T. Dube
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. The spatial heterogeneity of urban vegetation obtained from discrete land cover classes is sensitive to classification errors and can result in a substantial loss of information, due to the degradation of continuous quantitative information.
P. Kowe, O. Mutanga, J. Odindi, T. Dube
semanticscholar +1 more source
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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