Search results for "Spatial Analysi"

showing 10 items of 208 documents

Investigation of the consequences of the modifiable areal unit problem in macroscopic traffic safety analysis: A case study accounting for scale and …

2019

Abstract Traffic safety analysis at the macroscopic level usually relies on previously defined areal traffic analysis zones (TAZs) that are used as the units of investigation. Hence, statistical inference is made on the basis of such units, implying that the consideration of a certain TAZ configuration may influence the results and conclusions achieved. Regarding this, the modifiable areal unit problem (MAUP) is a well-known issue in the field of spatial statistics, which refers to the effects that arise in statistical properties and estimations when there is a change in areal units of analysis. In this paper, the consequences of MAUP have been investigated through a dataset of traffic cras…

050210 logistics & transportationSpatial AnalysisModels StatisticalComputer science05 social sciencesPublic Health Environmental and Occupational HealthAccidents TrafficPoison controlHuman Factors and ErgonomicsStatistical modelModifiable areal unit problemMulticollinearitySpain0502 economics and businessStatisticsCovariateStatistical inferenceHumans0501 psychology and cognitive sciencesCity PlanningSafetySafety Risk Reliability and QualityScale (map)Spatial analysis050107 human factorsAccident; analysis and prevention
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Processing of 3D Models for Networking of CH in Geomatics

2020

In recent times the possibility of reconstruction of complex 3D Cultural Heritage (CH) environments has opened new scenarios for touristic and scientific aims. The different needs for networking or conservation purposes of CH lead to study proper structuring of 3D models. In light of this, a scientific approach has been developed in order to test the networking capabilities, comparing different loading configurations of 3D environments with multiple combinations of 3D models inside them, considering different solutions. This experimentation has been based on WebGL-HTML5 technologies and allowed to discover the true balance between performances of proposed system, the quality of visualizatio…

3D modelGeographic information systemGeospatial analysisCH conservationbusiness.industryComputer scienceGeomaticsInformation qualitycomputer.software_genreStructuringVisualizationCultural heritageNetworkingHuman–computer interactionVirtual machineCultural heritageWebGLbusinesscomputer
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The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?

2002

International audience; The authors show that spatial dependence and spatial heterogeneity matter in the estimation of the ß-convergence process among 138 European regions over the 1980 to 1995 period. Using spatial econometrics tools, the authors detect both spatial dependence and spatial heterogeneity in the form of structural instability across spatial convergence clubs. The estimation of the appropriate spatial regimes spatial error model shows that the convergence process is different across regimes. The authors also estimate a strongly significant spatial spillover effect: the average growth rate of per capita GDP of a given region is positively affected by the average growth rate of …

AERES A Economie Gestion - CoNRS37-R2 - EconLitspatial dependence0211 other engineering and technologies02 engineering and technologyjel:C21Gross domestic productconvergence club convergence spatial econometrics European regions spatial regimes spatial autocorrelation050602 political science & public administrationEconometricsEconomics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesGrowth rateSpatial dependence[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSpatial analysisComputingMilieux_MISCELLANEOUSGeneral Environmental ScienceConvergence clubsconvergence05 social sciencesjel:C51General Social Sciences021107 urban & regional planningConvergence (economics)[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial regimes0506 political scienceSpatial heterogeneityspatial econometricsSpatial econometricsjel:R11geographic spilloversjel:R15
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Improving active learning methods using spatial information

2011

Active learning process represents an interesting solution to the problem of training sample collection for the classification of remote sensing images. In this work, we propose a criterion based on the spatial information that can be used in combination with a spectral criterion in order to improve the selection of training samples. Experimental results obtained on a very high resolution image show the effectiveness of regularization in spatial domain and open challenging perspectives for terrain campaigns planning. © 2011 IEEE.

Active learningContextual image classificationComputer sciencebusiness.industryvery-high-resolution (VHR) imagesTerrainspatial informationsupport vector machines (SVMs)Machine learningcomputer.software_genreRegularization (mathematics)Support vector machineArtificial intelligencebusinessImage resolutioncomputerSpatial analysis
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Simulating Images Seen by Patients with Inhomogeneous Sensitivity Losses

2012

PURPOSE We aim to simulate how colored images are perceived by subjects with local achromatic and chromatic contrast sensitivity losses in the visual field (VF). METHODS The spatiochromatic corresponding pair algorithm, introduced in a previous article (J Opt Soc Am (A) 2004;21:176-186), has been implemented with a linear model of the visual system. Spatial information is processed separately by the chromatic and achromatic mechanisms by means of a multiscale model, with sensors selective to frequency, orientation, and spatial position, whose mechanism-dependent relative weights change with the spatial location of the image. These weights have been obtained from perimetric data from a patie…

Adultgenetic structuresComputer scienceImage qualityColor visionOptic Atrophy Hereditary Leberlaw.inventionContrast SensitivitylawmedicineHumansChromatic scaleSpatial analysisbusiness.industryReproducibility of ResultsPattern recognitionmedicine.diseaseVisual fieldOphthalmologyAchromatic lensVisual Field TestsSpatial frequencyArtificial intelligenceVisual FieldsbusinessDichromacyColor PerceptionOptometryOptometry and Vision Science
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Simulating the evolution of stakes on Réunion Island in a context of coastal risk

2017

This paper describes a model and a simulation tool which aim at help decision-makers and planners dealing with their processes for territorial prospective analysis. It is based on a practical study case, located on Réunion Island (France). This study has been carried out within the VULNERARE research program, granted by Foundation de France: one of VULNERARE aims is to estimate and assess Réunion's vulnerability in the next 30 years, in relation to coastal risk. This paper is specifically focussing on the dynamics and the future state of two important stakes: population and urban structures. Will urban development of littoral zones increase? How fast and which type of population will be exp…

Agent simulationRéunionspatial analysisrisk analysis[SHS.GEO] Humanities and Social Sciences/Geographystakesmodelingcoastline[SHS.GEO]Humanities and Social Sciences/Geographyprospective[ SHS.GEO ] Humanities and Social Sciences/Geography
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The polarization of European agriculture: spatial and dynamic features within a non parametric framework

2009

We present a study of the polarization of European agriculture at NUTS2 regional level. The analysis of selected indicators focuses on spatial and dynamic features of distributions. We make use of the non parametric technique of stochastic kernel which allows to explore the features of a whole distribution and to point out the clustering of statistical units.

Agriculture Polarization NUTS2 Distribution Dynamics Spatial Analysis Stochastic Kernel
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Stochastic kernel and conditioning schemes: a study about the influence of spatial factor on agriculture of EU NUTS2

2009

Besides to be an useful methodology for the detection of distribution dynamics of indicators, stochastic kernel has been generalized to a regression-like rationale (Quah, 1997). The latter allows to determine how a distribution is influenced by a "factor", through a "conditioning scheme" which is a set of rules stating how the original distribution is altered in order to obtain its "conditioned" version. This paper aims to study the influence of the "spatial factor" on distributions of selected agriculture impact indicators across EU NUTS2. The present work offers an empirical analysis of dynamics of selected indicators of agriculture across NUTS2. Our scope is to give an overlook of EU ter…

Agriculture polarization NUTS2 spatial analysis stochastic kernel
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A Framework for a Smart City Design : Digital Transformation in the Helsinki Smart City

2019

Recently, there has been substantial interest in the concept of a smart city, as it has been a viable solution to the dilemmas created by the urbanization of cities. Digital technologies—such as Internet-of-Things, artificial intelligence, big data, and geospatial technologies—are closely associated with the concept of a smart city. By means of modern digital technologies, cities aim to optimize their performance and services. Further, cities actively endorse modern digital technologies to foster digitalization and the emergence of data-based innovations and a knowledge economy. In this paper, a framework for a smart city design is presented. The framework considers a smart city from the pe…

Architectural engineeringGeospatial analysiskaupungitBig dataopen datacomputer.software_genrestakeholdersSmart cityUrbanizationsidosryhmätdigitalisaatioavoin tietobusiness.industrytechnology experimentationsKnowledge economyCorporate governanceDigital transformationdigitaalitekniikkasmart cityComputerSystemsOrganization_MISCELLANEOUSSustainabilitystrateginen suunnitteluälytekniikkaBusinessjulkinen hallintodigital technologystrategycomputer
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Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

2016

The choice of the proper resolution in landslide susceptibility mapping is a worth considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain morphologic properties with low accuracy, on the other hand, at very fine resolutions, some of the DEM-derived morphometric factors may hold an excess of details. Moreover, the landslide inventory maps are represented throughout geospatial vector data structure, therefore a conversion procedure vector-to-raster is required.This work investigates the effects of raster resolution on the susceptibility mapping in conjunction with the use of different algorithms of vector-raster conversion. The Artificial Neural Network t…

Artificial neural networkResamplingEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceArtificial neural network; Grid-cell size; Landslide susceptibility mapping; Resampling; Vector-to-raster conversion; Ecological Modeling; Environmental Engineering; Software0208 environmental biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTerrain02 engineering and technologycomputer.software_genre01 natural sciencesArray data structureGrid-cell sizeImage resolutionLandslide susceptibility mapping0105 earth and related environmental sciencesArtificial neural networkEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVector-to-raster conversionLandslidecomputer.file_format020801 environmental engineeringPolygonRaster graphicscomputerAlgorithmSoftwareEnvironmental Modelling & Software
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