Search results for "spatial analysi"

showing 10 items of 208 documents

Deep learning for agricultural land use classification from Sentinel-2

2020

[ES] En el campo de la teledetección se ha producido recientemente un incremento del uso de técnicas de aprendizaje profundo (deep learning). Estos algoritmos se utilizan con éxito principalmente en la estimación de parámetros y en la clasificación de imágenes. Sin embargo, se han realizado pocos esfuerzos encaminados a su comprensión, lo que lleva a ejecutarlos como si fueran “cajas negras”. Este trabajo pretende evaluar el rendimiento y acercarnos al entendimiento de un algoritmo de aprendizaje profundo, basado en una red recurrente bidireccional de memoria corta a largo plazo (2-BiLSTM), a través de un ejemplo de clasificación de usos de suelo agrícola de la Comunidad Valenciana dentro d…

Series temporalesTime series010504 meteorology & atmospheric sciencesComputer scienceRemote sensing applicationGeography Planning and Development0211 other engineering and technologiesDecision treelcsh:G1-92202 engineering and technologyClasificaciónMachine learningcomputer.software_genre01 natural sciencesBiLSTMClassifier (linguistics)Earth and Planetary Sciences (miscellaneous)Spatial analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesArtificial neural networkbusiness.industryDeep learningDeep learningClassificationRandom forestSupport vector machineArtificial intelligenceSentinel-2businesscomputerlcsh:Geography (General)
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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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Geospatial modelling and map analysis allowed measuring regression of the upper limit of Posidonia oceanica seagrass meadows under human pressure

2018

Abstract Marine coastal ecosystems are facing structural and functional changes due to the increasing human footprint worldwide, and the assessment of their long-term changes becomes particularly challenging. Measures of change can be done by comparing the observed ecosystem status to a purposely defined reference condition. In this paper, a geospatial modelling approach based on 2D mapping and morphodynamic data was used to predict the natural position of the upper limit (i.e., the landward continuous front) of Posidonia oceanica seagrass meadows settled on soft bottom. This predictive model, formerly developed at the regional spatial scale, was here applied for the first time at the Medit…

Settore BIO/07 - Ecologia0106 biological sciencesMediterranean climateGeospatial analysis010504 meteorology & atmospheric sciencesMediterranean sea Morphodynamic sPosidonia oceanica Predictive modelling Reference conditions SeagrassAquatic ScienceOceanographycomputer.software_genre01 natural sciencesMorphodynamicZoologíaEcosystemSeagrasssPosidonia oceanica0105 earth and related environmental sciencesbiology010604 marine biology & hydrobiologySeagraPredictive modellingFragmentation (computing)Posidonia oceanicaReference conditionsbiology.organism_classificationSeagrass;Predictive modelling;Reference conditions;Morphodynamics;Posidonia oceanica;Mediterranean seaMorphodynamicsRegressionSeagrassPosidonia oceanicaSettore BIO/03 - Botanica Ambientale E ApplicataMediterranean seaSpatial ecologyEnvironmental scienceReference conditionPhysical geographycomputerEstuarine, Coastal and Shelf Science
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Within the symbolic world of the prehistoric hunters: A GIS-based and 3D model analysis of sites with complexes of linear incisions in western Sicily

2021

Abstract The prehistoric peopling of Sicily has left scattered traces of symbolic activities through well-known rock art expressions in caves and rock shelters located all around the island (among the most significant, the sites of Addaura, Racchio and Genovese). A peculiar phenomenon is the incision of linear signs, often grouped on the same rocky walls, hidden in fissures or placed at the entrance of the underground chambers of caves. In this report, we investigate a sample of these graphic expressions from a spatial and technical point of view. A GIS-based approach presents the territorial pattern providing insight, on a macroscale, into the intentional positioning of the sign complexes.…

Settore L-ANT/01 - Preistoria E ProtostoriaArcheologygeographygeography.geographical_feature_category060102 archaeology010401 analytical chemistrySign (semiotics)3d modelSettore L-ANT/09 - Topografia Antica06 humanities and the artsSettore BIO/08 - Antropologia01 natural sciencesArchaeology0104 chemical sciencesComputer Science ApplicationsPrehistoryCaveAnthropology3D models Rock art Spatial analysis Symbols Anthropology Prehistory0601 history and archaeologyThe SymbolicRock art
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Spatial noise-aware temperature retrieval from infrared sounder data

2020

In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent dimensionality reduction approach. The extracted features are fed into a canonical linear regression. We compare Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF) for dimensionality reduction, and study the compactness and information content of the extracted features. Assessment of the results is done on a big dataset covering many spatial and temporal situations. PCA is widely used for these purposes but our analysis shows that one can gain significant improvements of the error rates when using…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learningbusiness.industryComputer scienceDimensionality reductionFeature extraction0211 other engineering and technologiesWord error ratePattern recognitionRegression analysis02 engineering and technologyMachine Learning (cs.LG)Principal component analysisLinear regression0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceElectrical Engineering and Systems Science - Signal ProcessingbusinessSpatial analysis021101 geological & geomatics engineering
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Una postmetropoli incompleta: il contesto socio-spaziale di Palermo

2018

Palermo è la città più popolata e importante della Sicilia e la quinta città più popolata d'Italia. Nonostante sia ampiamente conosciuta per la sua marginalità e la presenza di organizzazioni criminali (mafia), Palermo ha giocato a lungo un ruolo chiave nel bacino del Mediterraneo. Uno dei luoghi comuni tradizionali legati a Palermo e alla Sicilia è che il suo popolo ha sviluppato un atteggiamento passivo come conseguenza delle numerose dominazioni straniere dell'isola (a partire dalla sua fondazione, Palermo è stata governata dai Cartaginesi, dai Romani, dagli Arabi, dai Normanni, dai Francesi e dagli Spagnoli). Come per tutti i luoghi comuni, anche questo è in parte vero, ma non può esser…

Socio-economic analysiArea MatropolitanaAnalisi spazialeMetropolitan AreaSpatial analysisAnalisi socio-economicaSettore ICAR/21 - UrbanisticaPalermo
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Contrasting age-specific recruitment and survival at different spatial scales: A case study with the European storm petrel

2009

Evolutionary studies on optimal decisions or conservation guidelines are often derived by generalising patterns from a single population, while inter-population variability in life-history traits is seldom considered. We investigated here how survival and recruitment probabilities changed with age at different geographical scales using the encounter histories of 5523 European storm petrels from three Mediterranean colonies, and also how our estimates of these parameters might be expected to affect population growth rates using population matrix models. We recorded similar patterns among colonies, but also important biological differences. Local survival, recruitment and breeding success inc…

Southern EuropeConservation managementSurvivalPopulationSettore BIO/05 - ZoologiaVulnerabilityPredationAge structurePredationLife history theoryBenidormPopulation modelingbiology.animalLife history theoryPopulation growthPopulation growthMortalityeducationEcology Evolution Behavior and SystematicsSpecies conservationeducation.field_of_studybiologyReproductive successGrowth rateEcologySpatial analysisReproductive successSeabirdSpatial heterogeneitySpainHydrobates pelagicus Recruitment Mediterranean populationsLife history traitSeabirdVital ratesComunidad ValencianaRecruitment (population dynamics)
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Spatial Analysis, Cartography and Climate

2010

International audience

Spatial Analysis[SHS.GEO] Humanities and Social Sciences/GeographyClimate[SHS.GEO]Humanities and Social Sciences/GeographyComputingMilieux_MISCELLANEOUSInterpolation[ SHS.GEO ] Humanities and Social Sciences/Geography
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Urban densities and economic analyse of residentials choices

2016

The thesis is focused on urban growth control challenge through the Compact City model and its key spatial characteristic: the density. This work deals both with a theoretical, methodological and empirical approach. First, we place ourselves in the theoretical framework of Urban Economic addressing agents’ location choices. We mobilize these theories to identify the key determinants of residential location (employment center, spatial amenities, housing’s service) and analyze the spatial organization that follows (dense or spread). This literature leads us to consider different types of density: structural density, population density and social density. This thesis highlights various methodo…

Spatial analysisAgglomeration of Grand DijonModèle hédoniqueUrban development policiesDensités urbainesEconomie UrbaineUrban EconomicHedonic modelChoix résidentielPolitiques d’aménagement urbainUrban densitiesResidential choice[SHS.ECO] Humanities and Social Sciences/Economics and FinanceDonnées spatialesGglomération dijonnaise
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