Search results for " Spatial Analysis"

showing 10 items of 13 documents

At the intersection of cultural and natural heritage: Distribution and conservation of the type localities of Italian endemic vascular plants

2017

Abstract We conducted a GIS spatial analysis with the aim of providing the first quantitative large-scale overview of the distribution patterns of 1536 type localities ( loci classici ) of 1216 Italian endemic vascular plants and their relationship with a set of descriptive variables. Whereas some variables were used to model the presence-absence distribution patterns of the type localities for the whole set of endemics as well as for the subset of narrow endemics, others (e.g., presence inside or outside protected areas and Italian Important Plant Areas) were considered with the purpose of assessing potential assets or risks for conservation. The largest number of type localities was found…

0106 biological sciencesMediterranean climateBehavior and Systematic010504 meteorology & atmospheric sciencesEvolutionDistribution (economics)Conservation010603 evolutionary biology01 natural sciencesEndemicType (biology)Conservation; Endemics; Italian flora; Loci classici; Spatial analysisNatural heritageItalian floraResource managementEndemismItalian flora; Conservation; Endemics; Spatial analysis; Loci classiciEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesItalian flora Conservation Endemics Spatial analysis Loci classiciNature and Landscape ConservationEcologyEcologybusiness.industrySettore BIO/02 - Botanica SistematicaSpatial analysisEndemicsLoci classiciEcology Evolution Behavior and SystematicGeographyImportant Plant AreasSpatial analysiSettore BIO/03 - Botanica Ambientale E ApplicataMainlandbusiness
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Ecological dependencies make remote reef fish communities most vulnerable to coral loss

2021

Ecosystems face both local hazards, such as over-exploitation, and global hazards, such as climate change. Since the impact of local hazards attenuates with distance from humans, local extinction risk should decrease with remoteness, making faraway areas safe havens for biodiversity. However, isolation and reduced anthropogenic disturbance may increase ecological specialization in remote communities, and hence their vulnerability to secondary effects of diversity loss propagating through networks of interacting species. We show this to be true for reef fish communities across the globe. An increase in fish-coral dependency with the distance of coral reefs from human settlements, paired with…

0106 biological sciencesRichnessconservation biologyekologiset verkostotGeneral Physics and Astronomy01 natural sciencesConservation of Natural ResourceAnthropogenic EffectmeriekologiaPatterns0303 health sciencesDiversityMultidisciplinaryConservation biologyCoral ReefsAnthropogenic EffectsQClimate-change ecologyFishesBiodiversityAnthozoaHabitat1181 Ecology evolutionary biologyCoral ReefHumanclimate-change ecologyConservation of Natural Resources[SDE.MCG]Environmental Sciences/Global ChangesScienceClimate ChangeBiotic interactions010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular BiologyArticlekoralliriutat03 medical and health sciencesAnimals; Anthozoa; Anthropogenic Effects; Biodiversity; Climate Change; Conservation of Natural Resources; Coral Bleaching; Fishes; Humans; Spatial Analysis; Coral ReefsFood-webAnimalsHumansecological networks14. Life underwater030304 developmental biologySpatial AnalysisCoral BleachingAnimalkalakannatGeneral ChemistryDisturbanceSpatial Analysiilmastonmuutokset15. Life on landbiodiversiteetti13. Climate actionEcological networks[SDE.BE]Environmental Sciences/Biodiversity and EcologyFisheNature Communications
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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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Hierarchical Bayesian models for analysing fish biomass data. An application to Parapenaeus longirostris biomass data

2022

The Mediterranean International Trawl Survey (MEDITS) programme provides spatially referenced ecological data. We adopted a hierarchical Bayesian model to analyse Parapenaeus longirostris biomass data. The model comprises three parts, each of which identifies: the variability due to the explanatory variables, the variability due to the spatial domain (seen as a Gaussian Process) and the irregular component modelled as white noise. The estimated parameters show that some seabed characteristics affect biomass quantity and that the estimated behaviour of the Gaussian Process changes over different groups of years.

Gaussian Processes Bayesian methods spatial analysis latent variables.Settore SECS-S/01 - Statistica
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OPTIMIZING STOCHASTIC SUSCEPTIBILITY MODELLING FOR DEBRIS FLOW LANDSLIDES: MODEL EXPORTATION, STATISTICAL TECHNIQUES COMPARISON AND USE OF REMOTE SEN…

Il presente lavoro di ricerca è stato sviluppato al fine di approfondire approcci metodologici nell'ambito della sucscettibilità da frana. In particolare, il tema centrale della ricerca è rappresentato dal tema specifico dell'esportazione spaziale di modelli di suscettibilità nell'area mediterranea. All'interno del topic specifico dell'esportazione di modelli predittivi spaziali sono state approfondite tematiche relative all'utilizzo di differenti algoritmi o di differenti sorgenti, derivate da DEM o da coperture satellitari. The present work has been developed in order to enhance current methodological approaches within the big picture of the landslide susceptibility. In particular, the ce…

Landslide Susceptibility. Predictive modeling. Remote sensing. ASTER. Stochastic Gradient Treeboost. Binary Logistic Regression. Maximum Entropy. Presence-only approach. Presence-absence approach. Geomorphology. Engineering Geomorphology. Engineering Geology. Spatial Analysis.Settore GEO/04 - Geografia Fisica E Geomorfologia
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …

2020

Publisher's version (útgefin grein)

MaleLife expectancyDisability-Adjusted Life YearDiseasesDiseasecommunicable diseasesystematic analysisGlobal Burden of Disease0302 clinical medicine80 and overMedicine10. No inequalityChild11 Medical and Health SciencesinjuriesAged 80 and overeducation.field_of_studySjúkdómarDEMENTIAFALLSGeneral MedicineForvarnir3. Good healthChild PreschoolHumanGBDPopulation health03 medical and health sciencesSDG 3 - Good Health and Well-beingHumansGlobal Burden of Disease StudyeducationAgedSpatial AnalysisGlobal burdenDisabilityPreventionDISABILITYInfantSpatial AnalysiMortality rateGlobal Burden of Disease Diseases Injuries Systematic analysisPREVENTIONYears of potential life lostRisk factorsDisease studyGBD; communicable disease; injuries;ITC-ISI-JOURNAL-ARTICLELife expectancyRISK-FACTORSClinical MedicineRADemographyFötlunDánartíðniÁhættuþættir030204 cardiovascular system & hematologyRisk FactorsCause of DeathGlobal health030212 general & internal medicineMortality ratePopulation health1. No povertyDisability-Adjusted Life YearsPublic Health Global Health Social Medicine and EpidemiologyMiddle Aged3142 Public health care science environmental and occupational healthAdolescent; Adult; Age Distribution; Aged; Aged 80 and over; Cause of Death; Child; Child Preschool; Disability-Adjusted Life Years; Female; Global Burden of Disease; Humans; Infant; Infant Newborn; Male; Middle Aged; Risk Factors; Spatial Analysis; Young Adult/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsaFemaleCLINICAL-TRIALSAdultAdolescentPopulationGlobal healthSettore MED/01 - Statistica MedicadiseasesITC-HYBRIDYoung AdultHeilbrigðisvísindiAge DistributionGeneral & Internal MedicineMortalityPreschoolDisease burdenbusiness.industryRisk FactorKlinisk medicinInfant NewbornNewborn//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiÁverkarSystematic analysisNAbusiness
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On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)

2020

Abstract. We present an innovative workflow for the statistical analysis of fracture data collected along scanlines, composed of two major stages, each one with alternative options. A prerequisite in our analysis is the assessment of stationarity of the dataset, which is motivated by statistical and geological considerations. Calculating statistics on non-stationary data can be statistically meaningless, and moreover the normalization and/or sub-setting approach that we discuss here can greatly improve our understanding of geological deformation processes. Our methodology is based on performing non-parametric statistical tests, which allow detecting important features of the spatial distrib…

Normalization (statistics)statistical and spatial analysis of fracture dataComputer scienceStratigraphylcsh:QE1-996.5PaleontologySoil ScienceGeologyFunction (mathematics)computer.software_genrelcsh:GeologyGeophysicsWorkflowlcsh:StratigraphyGeochemistry and PetrologyFracture (geology)Statistical analysisData miningSpatial analysiscomputerlcsh:QE640-699Earth-Surface ProcessesSolid Earth
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Functional Redundancy and Complementarities of Seed Dispersal by the Last Neotropical Megafrugivores

2013

Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:28:22Z No. of bitstreams: 0Bitstream added on 2014-05-27T14:42:48Z : No. of bitstreams: 1 2-s2.0-84873586375.pdf: 1508075 bytes, checksum: 7e697f6c67a83195e9b0cb525355980e (MD5) Made available in DSpace on 2014-05-27T11:28:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-02-07 Background: Functional redundancy has been debated largely in ecology and conservation, yet we lack detailed empirical studies on the roles of functionally similar species in ecosystem function. Large bodied frugivores may disperse similar plant species and have strong impact on plant recruitment in tropical forests. Th…

Settore AGR/05 - Assestamento Forestale E SelvicolturaSettore BIO/05 - Zoologialcsh:MedicinePlant Scienceredundancy analysisCryptocaryaTreesBehavioral EcologyFood Web StructureSeed DispersalForest structurequantitative studylcsh:Sciencetapirforest fragmentationplant dispersalMultidisciplinaryEcologyEcologyMedicine (all)Functional redundancyMarine EcologyBiodiversityPlantsCommunity EcologySeedsBrazilTreeResearch Articleforest structureSettore BIO/07 - EcologiaNeotropicsspecies comparisonSeed dispersalEcological and Environmental PhenomenaGerminationForest fragmentationBiologyFrugivoreAnimals; Brazil; Cryptocarya; Ferns; Germination; Spatial Analysis; Trees; Atelinae; Ecological and Environmental Phenomena; Herbivory; Perissodactyla; Seed Dispersal; Agricultural and Biological Sciences (all); Biochemistry Genetics and Molecular Biology (all); Medicine (all)FernAnimalscontrolled studyHerbivoryPlant DispersalBiologyseed sizeSpecies ExtinctionPerissodactylaplant leafEvolutionary BiologySpatial AnalysisAtelinaenonhumanBiochemistry Genetics and Molecular Biology (all)AnimalPlant Ecologymuriquilcsh:RRestoration EcologySpatial AnalysiEcological and Environmental ProcessesAgricultural and Biological Sciences (all)frugivoreSettore BIO/03 - Botanica Ambientale E ApplicataFernslcsh:Qqualitative research
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LiDAR-derived DTM for historical landscape evaluation: the case study of the “Harvesting Memories” project (Castro Valley and Mt. Barraù, Corleone – …

2016

The project “Harvesting Memories” is focused on the analysis of the long-term transformation of the cultural landscape in a rural area of Central-Western Sicily (Castro Valley and Mt. Barraù, Corleone – Palermo). In order to quickly outline the history of the territory with an acceptable precision, our survey aimed at covering and sampling as much surface as possible, according to time and human resources available. To reach this goal, in the research design we opted for qualitative surveys. The choice of the fields to be surveyed was based on GIS analysis — our predictive model took in consideration slope, water sources and presence of points with high visibility in the landscape —, that h…

Settore BIO/03 - Botanica Ambientale E ApplicataLandscape Ecology Human Ecology Spatial Analysis Landscape Archaeology LiDAR Archaeological GIS Archaeological survey LiDAR for Landscape Archaeology and Geographic Information Systems (GIS)
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