921 resultados para spatial trend analysis
Resumo:
Este trabalho tem por objetivo dar luz ao debate sobre a criação dos novos entes federativos, trazendo elementos objetivos sobre a caracterização socioeconômica dos novos espaços geopolíticos e seus respectivos papéis no novo contexto espacial do sistema inter-regional brasileiro. O artigo traz resultados inéditos para a discussão, buscando, inicialmente, identificar padrões hierárquicos e de dependência espacial e produtiva neste novo contexto federativo. Tais resultados subsidiama analise subsequente dos impactos da nova configuração das transferências constitucionais, que identifica pormeio de simulações comummodelo inter-regional de insumo-produto especialmente calibrado para as 33 regiões consideradas no estudo, não apenas os potenciais ganhadores e perdedores, mas também os mecanismos de interação espacial subjacentes a estes processos.
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Precision horticulture and spatial analysis applied to orchards are a growing and evolving part of precision agriculture technology. The aim of this discipline is to reduce production costs by monitoring and analysing orchard-derived information to improve crop performance in an environmentally sound manner. Georeferencing and geostatistical analysis coupled to point-specific data mining allow to devise and implement management decisions tailored within the single orchard. Potential applications range from the opportunity to verify in real time along the season the effectiveness of cultural practices to achieve the production targets in terms of fruit size, number, yield and, in a near future, fruit quality traits. These data will impact not only the pre-harvest but their effect will extend to the post-harvest sector of the fruit chain. Chapter 1 provides an updated overview on precision horticulture , while in Chapter 2 a preliminary spatial statistic analysis of the variability in apple orchards is provided before and after manual thinning; an interpretation of this variability and how it can be managed to maximize orchard performance is offered. Then in Chapter 3 a stratification of spatial data into management classes to interpret and manage spatial variation on the orchard is undertaken. An inverse model approach is also applied to verify whether the crop production explains environmental variation. In Chapter 4 an integration of the techniques adopted before is presented. A new key for reading the information gathered within the field is offered. The overall goal of this Dissertation was to probe into the feasibility, the desirability and the effectiveness of a precision approach to fruit growing, following the lines of other areas of agriculture that already adopt this management tool. As existing applications of precision horticulture already had shown, crop specificity is an important factor to be accounted for. This work focused on apple because of its importance in the area where the work was carried out, and worldwide.
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Die Entwicklung des Nordwestdeutschen Beckens und seiner rezenten Topographie ist geprägt von einer Vielzahl endogener und exogener Prozesse: Tektonik, Vulkanismus, Diapirismus, Eisvorstöße, elsterzeitlichen Rinnen und die Ablagerung von quartären Sedimenten. Mit Hilfe der Quantifizierung von Bodenbewegungspotenzialen wurde für Schleswig-Holstein der Einfluß von Tiefenstrukturen (insbesondere Salzstrukturen und tektonische Störungen) auf die Entwicklung der rezenten Topographie in Schleswig-Holstein untersucht. Dabei wurden folgende Parameter berücksichtigt: (1) Salzstrukturen; (2) Tektonischen Störungen; (3) Oberflächennahe Störungen, die mit einer hohen Wahrscheinlichkeit an der Erdoberfläche ausstreichen; (4) Elsterzeitliche Rinnen (tiefer 100 m); (5) Historische Erdbeben; (6) In Satellitenbildszenen kartierte Lineamente (7) Korrelationskoeffizienten, die zwischen 7 stratigraphischen Horizonten des „Geotektonischen Atlas von NW-Deutschland“ berechnet wurden. Die Ergebnisse zeigen, dass in Schleswig-Holstein großflächig rezente Bodenbewegungs-potenziale auftreten, die auf tektonische Störungen und Salzstrukturen zurückzuführen sind und sich hauptsächlich auf den Bereich des Glückstadt Grabens beschränken. In den 5 Gebieten Sterup, Tellingstedt Nord, Oldensworth Nord, Schwarzenbek und Plön treten die höchsten Bodenbewegungspotenziale auf. Sie dokumentieren rezente Prozesse in diesen Gebieten. In den Gebieten Sterup, Schwarzenbek und Plön sind aktive, an der Erdoberfläche ausstreichende Störungen lokalisiert, deren Auftreten auch durch kartierte Luft- und Satellitenbildlineare belegt wird. Im Gebiet Plön werden die ermittelten Bodenbewegungspotenziale durch eine, sich rezent vergrößernde Senke bei Kleinneudorf bestätigt. Unterhalb der Senke führen, begünstigt durch tektonische Störungen, Lösungsprozesse in tertiären Sedimenten zu Hohlraumbildungen, die das rezente Absacken der Senke verursachen. Für Bereiche höchsten Bodenbewegungspotenzials kann ein Einfluß von Tiefenstrukturen auf die Entwicklung der rezenten Topographie nachgewiesen werden. So beeinflussen oberflächennahe Störungen in dem Gebiet Plön die Entwicklung des Plöner Sees. Im Gebiet Schwarzenbek verursacht ein N-S orientiertes Störungsband ein Abknicken des Elbverlaufs. Weiterhin kann ein Einfluß der Entwicklung der rezenten Topographie durch eine Interaktion zwischen Eisauflast und Salzmobilität in den Gebieten Sterup und Oldensworth nachgewiesen werden. Demnach ist die Ablagerung quartärer Sedimente und somit der Grenzverlauf der Flußgebietseinheiten Eider und Schlei-Trave zwischen den Salzstrukturen Sterup und Meezen beeinflusst durch eine aktive Reaktion beider Salzstrukturen auf Eisauflast. Im Bereich Oldensworth zeigen geologische Schnitte von der Basis Oberkreide bis zur rezenten Topographie, dass die Salzmauern Oldensworth und Hennstedt die Ablagerung quartärer Sedimente aktiv beeinflussten. Weiterhin orientiert sich der Elbverlauf von Hamburg bis zur Mündung an den Randbereichen von Salzstrukturen, die bis in den oberflächennahen Bereich aufgestiegen sind.
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La ricerca è mirata a valutare come l’attuazione delle politiche ambientali di Sviluppo Rurale possa contribuire al miglioramento del paesaggio, analizzando i suoi effetti territoriali. Nell’ambito del caso di studio della Regione Emilia-Romagna vengono analizzate le misure agro-ambientali e di forestazione agricola dal 1994 al 2011, comprendendo gli interventi realizzati con i Regolamenti (CEE) 2078/1992, 2080/1992 e dai Programmi di Sviluppo Rurale (PSR) 2000-2006 e 2007-2013. In particolare, sono approfonditi i fattori che determinano la partecipazione territoriale delle misure agro-ambientali, individuate a livello aziendale le motivazioni alla partecipazione per le azioni con effetto diretto sul paesaggio, valutati i conseguenti effetti tecnico-economici e analizzati gli impatti degli interventi sul paesaggio a livello territoriale, in funzione del contesto ambientale. I risultati hanno consentito di approfondire quanto già riportato nelle valutazioni istituzionali dei PSR e in letteratura scientifica, individuando i fattori determinanti della partecipazione a livello regionale. A questo scopo sono state utilizzate analisi di econometria spaziale che hanno permesso di evidenziare effetti di concentrazione territoriale delle superfici sotto impegno, in funzione delle priorità della misura e degli ordinamenti produttivi dei beneficiari. Sono stati inoltre analizzati gli impatti paesaggistici in un’area di studio ristretta a livello territoriale e aziendale: gli interventi specifici, in alcuni contesti territoriali dove è stata raggiunta una certa concentrazione delle superfici sotto impegno, hanno modificato il paesaggio rurale, differenziandolo rispetto alla matrice agricola intensiva in cui sono stati inseriti. A livello aziendale sono stati rilevati effetti significativi sull’economia dei beneficiari che scelgono di aderire a tali misure, con un diffuso effetto di riduzione della redditività. I contributi compensano in maniera differenziata i costi legati all’implementazione degli interventi in funzione della tipologia di intervento e delle scelte tecniche aziendali adottate per la loro gestione.
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This doctoral thesis aims at contributing to the literature on transition economies focusing on the Russian Federations and in particular on regional income convergence and fertility patterns. The first two chapter deal with the issue of income convergence across regions. Chapter 1 provides an historical-institutional analysis of the period between the late years of the Soviet Union and the last decade of economic growth and a presentation of the sample with a description of gross regional product composition, agrarian or industrial vocation, labor. Chapter 2 contributes to the literature on exploratory spatial data analysis with a application to a panel of 77 regions in the period 1994-2008. It provides an analysis of spatial patterns and it extends the theoretical framework of growth regressions controlling for spatial correlation and heterogeneity. Chapter 3 analyses the national demographic patterns since 1960 and provides a review of the policies on maternity leave and family benefits. Data sources are the Statistical Yearbooks of USSR, the Statistical Yearbooks of the Russian Soviet Federative Socialist Republic and the Demographic Yearbooks of Russia. Chapter 4 analyses the demographic patterns in light of the theoretical framework of the Becker model, the Second Demographic Transition and an economic-crisis argument. With national data from 1960, the theoretically issue of the pro or countercyclical relation between income and fertility is graphically analyzed and discussed, together with female employment and education. With regional data after 1994 different panel data models are tested. Individual level data from the Russian Longitudinal Monitoring Survey are employed using the logit model. Chapter 5 employs data from the Generations and Gender Survey by UNECE to focus on postponement and second births intentions. Postponement is studied through cohort analysis of mean maternal age at first birth, while the methodology used for second birth intentions is the ordered logit model.
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Obiettivo del lavoro è migliorare la lettura della ruralità europea. A fronte delle profonde trasformazioni avvenute, oggi non è più possibile analizzare i territori rurali adottando un mero approccio dicotomico che semplicemente li distingua dalle città. Al contrario, il lavoro integra l’analisi degli aspetti socio-economici con quella degli elementi territoriali, esaltando le principali dimensioni che caratterizzano le tante tipologie di ruralità oggi presenti in Europa. Muovendo dal dibattito sulla classificazione delle aree rurali, si propone dapprima un indicatore sintetico di ruralità che, adottando la logica fuzzy, considera congiuntamente aspetti demografici (densità), settoriali (rilevanza dell’attività agricola), territoriali e geografici (accessibilità e uso del suolo). Tale tecnica permette di ricostruire un continuum di gradi di ruralità, distinguendo così, all’interno dell’Unione Europea (circa 1.300 osservazioni), le aree più centrali da quelle progressivamente più rurali e periferiche. Successivamente, attraverso un’analisi cluster vengono individuate tipologie di aree omogenee in termini di struttura economica, paesaggio, diversificazione dell’attività agricola. Tali cluster risentono anche della distribuzione geografica delle aree stesse: vengono infatti distinti gruppi di regioni centrali da gruppi di regioni più periferiche. Tale analisi evidenzia soprattutto come il binomio ruralità-arretratezza risulti ormai superato: alcune aree rurali, infatti, hanno tratto vantaggio dalle trasformazioni che hanno interessato l’Unione Europea negli ultimi decenni (diffusione dell’ICT o sviluppo della manifattura). L’ultima parte del lavoro offre strumenti di analisi a supporto dell’azione politica comunitaria, analizzando la diversa capacità delle regioni europee di rispondere alle sfide lanciate dalla Strategia Europa 2020. Un’analisi in componenti principali sintetizza le principali dimensioni di tale performance regionale: i risultati sono poi riletti alla luce delle caratteristiche strutturali dei territori europei. Infine, una più diretta analisi spaziale dei dati permette di evidenziare come la geografia influenzi ancora profondamente la capacità dei territori di rispondere alle nuove sfide del decennio.
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Despite widespread use of imaging technologies including ultrasonography and computed tomography, rates of negative appendicectomy and perforated appendicitis remain high. This trend analysis examined whether rates of negative appendicectomy and perforated appendicitis have decreased over time, and sought to evaluate clinical predictors associated with negative appendicectomy and perforated appendicitis.
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We investigate how declines in US emissions of CO and O3 precursors have impacted the lower free troposphere over the North Atlantic. We use seasonal observations for O3 and CO from the PICO-NARE project for the period covering 2001 to 2010. Observations are used to verify model output generated by the GEOS-Chem 3-D global chemical transport model. Additional satellite data for CO from AIRS/Aqua and for O3 from TES/Aura were also used to provide additional comparisons; particularly for fall, winter, and spring when PICO-NARE coverage is sparse. We find GEOS-Chem captures the seasonal cycle for CO and O3 well compared to PICO-NARE data. For CO, GEOS-Chem is biased low, particularly in spring which is in agreement with findings from previous studies. GEOS-Chem is 24.7 +/- 5.2 ppbv (1-σ) low compared to PICO-NARE summer CO data while AIRS is 14.2 +/- 6.6 ppbv high. AIRS does not show nearly as much variation as seen with GEOS-Chem or the Pico data, and goes from being lower than PICO-NARE data in winter and spring, to higher in summer and fall. Both TES and GEOS-Chem match the seasonal ozone cycle well for all seasons when compared with observations. Model results for O3 show GEOS-Chem is 6.67 +/- 2.63 ppbv high compared to PICO-NARE summer measurements and TES was 3.91 +/- 4.2 ppbv higher. Pico data, model results, and AIRS all show declines in CO and O3 for the summer period from 2001 to 2010. Limited availability of TES data prevents us from using it in trend analysis. For summer CO Pico, GEOS-Chem, and AIRS results show declines of 1.32, 0.368, and 0.548 ppbv/year respectively. For summer O3, Pico and GEOS-Chem show declines of -0.726 and -0.583 ppbv/year respectively. In other seasons, both model and AIRS show declining CO, particularly in the fall. GEOS-Chem results show a fall decline of 0.798 ppbv/year and AIRS shows a decline of 0.8372 ppbv/year. Winter and spring CO declines are 0.393 and 0.307 for GEOS-Chem, and 0.455 and 0.566 for AIRS. GEOS-Chem shows declining O3 in other seasons as well; with fall being the season of greatest decrease and winter being the least. Model results for fall, winter, and spring are 0.856, 0.117, and 0.570 ppbv/year respectively. Given the availability of data we are most confident in summer results and thus find that summer CO and O3 have declined in lower free troposphere of the North Atlantic region of the Azores. Sensitivity studies for CO and O3 at Pico were conducted by turning off North American fossil fuel emissions in GEOS-Chem. Model results show that North America fossil fuel emissions contribute 8.57 ppbv CO and 4.03 ppbv O3 to Pico. The magnitude of modeled trends declines in all seasons without North American fossil fuel emissions except for summer CO. The increase in summer CO declines may be due to a decline of 5.24 ppbv/year trend in biomass burning emissions over the study period; this is higher than the 2.33 ppbv/year North American anthropogenic CO model decline. Winter O3 is the only season which goes from showing a negative trend to a positive trend.
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Nicht nur die vielfältigen funktionsbezogenen Anforderungen von Produkten und Bauteilen, sondern vor allem die heutigen Marktbedürfnisse stellen große Herausforderungen für aktuelle Fertigungstechnologien dar. Hierbei bildet die kontinuierlich steigende Variantenvielfalt bei gleichzeitiger Senkung der Stückzahlen je Variante die differenzierten Kundenwünsche ab. Diese Entwicklungen begünstigen die Perspektiven des Laserstrahlschmelzens im Allgemeinen sowie seiner speziellen Anwendungsgebiete Rapid Prototyping, Rapid Tooling und Rapid Manufac-turing. In den Branchen der Medizintechnik und der Gummi- und Kunststoffverarbeitung ist bereits seit einiger Zeit eine dynamische Entwicklung erkennbar. Besonders in der Medizintechnik wird der immer breitere Einsatz des Laserstrahlschmelzens durch die hohe Innovationsfähigkeit des Verfahrens und ein verbesserstes Qualitäts-management vorangetrieben. Aufgrund der zunehmenden Forderungen nach individualisierten und individuellen Produkten werden bereits heute patientenangepasste Implantate mit dem Laserstrahlschmelzverfahren gefertigt. Erwarten die Marktteilnehmer eine weiterhin steigende Nachfrage nach solchen Produkten? Wie muss das Verfah-ren verbessert werden, um seine Prozessstabilität zu erhöhen? Wo liegen die zukünftigen Herausforderungen in der Strahlschmelztechnologie? Um diese und weitere Fragen zu klären hat das Fraunhofer Institut für Produkti-onsanlagen und Konstruktionstechnik (IPK) eine Markt- und Trendanalyse für das Laserstrahlschmelzen durchge-führt.
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Brain processing of grammatical word class was studied analyzing event-related potential (ERP) brain fields. Normal subjects observed a randomized sequence of single German nouns and verbs on a computer screen, while 20-channel ERP field map series were recorded separately for both word classes. Spatial microstate analysis was applied, based on the observation that series of ERP maps consist of epochs of quasi-stable map landscapes and based on the rationale that different map landscapes must have been generated by different neural generators and thus suggest different brain functions. Space-oriented segmentation of the mean map series identified nine successive, different functional microstates, i.e., steps of brain information processing characterized by quasi-stable map landscapes. In the microstate from 116 to 172 msec, noun-related maps differed significantly from verb-related maps along the left–right axis. The results indicate that different neural populations represent different grammatical word classes in language processing, in agreement with clinical observations. This word class differentiation as revealed by the spatial–temporal organization of neural activity occurred at a time after word input compatible with speed of reading.
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Frequency-transformed EEG resting data has been widely used to describe normal and abnormal brain functional states as function of the spectral power in different frequency bands. This has yielded a series of clinically relevant findings. However, by transforming the EEG into the frequency domain, the initially excellent time resolution of time-domain EEG is lost. The topographic time-frequency decomposition is a novel computerized EEG analysis method that combines previously available techniques from time-domain spatial EEG analysis and time-frequency decomposition of single-channel time series. It yields a new, physiologically and statistically plausible topographic time-frequency representation of human multichannel EEG. The original EEG is accounted by the coefficients of a large set of user defined EEG like time-series, which are optimized for maximal spatial smoothness and minimal norm. These coefficients are then reduced to a small number of model scalp field configurations, which vary in intensity as a function of time and frequency. The result is thus a small number of EEG field configurations, each with a corresponding time-frequency (Wigner) plot. The method has several advantages: It does not assume that the data is composed of orthogonal elements, it does not assume stationarity, it produces topographical maps and it allows to include user-defined, specific EEG elements, such as spike and wave patterns. After a formal introduction of the method, several examples are given, which include artificial data and multichannel EEG during different physiological and pathological conditions.
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As atmospheric emissions of S have declined in the Northern Hemisphere, there has been an expectation of increased pH and alkalinity in streams believed to have been acidified by excess S and N. Many streams and lakes have not recovered. Evidence from East Bear Brook in Maine, USA and modelling with the groundwater acid-base model MAGIC (Cosby et al. 1985a,b) indicate that seasonal and yearly variations in soil PCO2 are adequate to enhance or even reverse acid-base (alkalinity) changes anticipated from modest decreases of SO4 in surface waters. Alkalinity is generated in the soil by exchange of H+ from dissociation of H2CO3, which in turn is derived from the dissolving of soil CO2. The variation in soil PCO2 produces an alkalinity variation of up to 15 mu eq L-1 in stream water. Detecting and relating increases in alkalinity to decreases in stream SO4 are significantly more difficult in the short term because of this effect. For example, modelled alkalinity recovery at Bear Brook due to a decline of 20 mu eq SO4 L-1 in soil solution is compensated by a decline from 0.4 to 0.2% for soil air PCO2. This compensation ability decays over time as base saturation declines. Variable PCO2 has less effect in more acidic soils. Short-term decreases of PCO2 below the long-term average value produce short-term decreases in alkalinity, whereas short-term increases in PCO2 produce shortterm alkalization. Trend analysis for detecting recovery of streams and lakes from acidification after reduced atmospheric emissions will require a longer monitoring period for statistical significance than previously appreciated.
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Extending phenological records into the past is essential for the understanding of past ecological change and evaluating the effects of climate change on ecosystems. A growing body of historical phenological information is now available for Europe, North America, and Asia. In East Asia, long-term phenological series are still relatively scarce. This study extracted plant phenological observations from old diaries in the period 1834–1962. A spring phenology index (SPI) for the modern period (1963–2009) was defined as the mean flowering time of three shrubs (first flowering of Amygdalus davidiana and Cercis chinensis, 50% of full flowering of Paeonia suffruticosa) according to the data availability. Applying calibrated transfer functions from the modern period to the historical data, we reconstructed a continuous SPI time series across eastern China from 1834 to 2009. In the recent 30 years, the SPI is 2.1–6.3 days earlier than during any other consecutive 30 year period before 1970. A moving linear trend analysis shows that the advancing trend of SPI over the past three decades reaches upward of 4.1 d/decade, which exceeds all previously observed trends in the past 30 year period. In addition, the SPI series correlates significantly with spring (February to April) temperatures in the study area, with an increase in spring temperature of 1°C inducing an earlier SPI by 3.1 days. These shifts of SPI provide important information regarding regional vegetation-climate relationships, and they are helpful to assess long term of climate change impacts on biophysical systems and biodiversity.
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Water stable isotope ratios and net snow accumulation in ice cores are commonly interpreted as temperature or precipitation proxies. However, only in a few cases has a direct calibration with instrumental data been attempted. In this study we took advantage of the dense network of observations in the European Alpine region to rigorously test the relationship of the annual and seasonal resolved proxy data from two highly resolved ice cores with local temperature and precipitation. We focused on the time period 1961–2001 with the highest amount and quality of meteorological data and the minimal uncertainty in ice core dating (±1 year). The two ice cores were retrieved from the Fiescherhorn glacier (northern Alps, 3900 m a.s.l.), and Grenzgletscher (southern Alps, 4200 m a.s.l.). A parallel core from the Fiescherhorn glacier allowed assessing the reproducibility of the ice core proxy data. Due to the orographic barrier, the two flanks of the Alpine chain are affected by distinct patterns of precipitation. The different location of the two glaciers therefore offers a unique opportunity to test whether such a specific setting is reflected in the proxy data. On a seasonal scale a high fraction of δ18O variability was explained by the seasonal cycle of temperature (~60% for the ice cores, ~70% for the nearby stations of the Global Network of Isotopes in Precipitation – GNIP). When the seasonality is removed, the correlations decrease for all sites, indicating that factors other than temperature such as changing moisture sources and/or precipitation regimes affect the isotopic signal on this timescale. Post-depositional phenomena may additionally modify the ice core data. On an annual scale, the δ18O/temperature relationship was significant at the Fiescherhorn, whereas for Grenzgletscher this was the case only when weighting the temperature with precipitation. In both cases the fraction of interannual temperature variability explained was ~20%, comparable to the values obtained from the GNIP stations data. Consistently with previous studies, we found an altitude effect for the δ18O of −0.17‰/100 m for an extended elevation range combining data of the two ice core sites and four GNIP stations. Significant correlations between net accumulation and precipitation were observed for Grenzgletscher during the entire period of investigation, whereas for Fiescherhorn this was the case only for the less recent period (1961–1977). Local phenomena, probably related to wind, seem to partly disturb the Fiescherhorn accumulation record. Spatial correlation analysis shows the two glaciers to be influenced by different precipitation regimes, with the Grenzgletscher reflecting the characteristic precipitation regime south of the Alps and the Fiescherhorn accumulation showing a pattern more closely linked to northern Alpine stations.
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The aim of this study was to analyse the effects of climatic factors (i.e. monthly mean temperature and total precipitation) on radial growth (earlywood width, latewood width, and total ringwidth) and on latewood stable carbon isotope composition in a pedunculate oak (Quercus robur L) stand in northeastern Hungary. Earlywood widths showed the weakest common variance and lack of statistically significant relationship to monthly precipitation and temperature. Latewood width showed the strongest common chronological signal. Correlation analysis with the monthly climate series pointed out the strongest positive/negative correlation with June precipitation for latewood width/stable carbon isotope ratio. These parameters shared the strongest climatic response also for seasonal scale since the highest correlation coefficients, 0.49 and -0.62 for latewood width and stable carbon isotope ratio, respectively, were obtained for both with a 10-month precipitation total (from previous November to current August of the growing season). A combined parameter, derived as difference between latewood width and stable carbon isotope indices showed improved statistical relationship compared to the hydroclimatic calibration target both for local and regional spatial scales. Spatial correlation analysis indicated that the hydroclimatic signal encoded in these moisture sensitive tree-ring parameters from Bakta Forest is expected to be representative for the northeastern Carpathians and for the large part of the Great Hungarian Plain. In addition, the hydroclimatic signal of latewood width chronology was compared to three independent records. Results showed that neither the strength nor the rank of the similarity of the local hydroclimate signals were stable throughout the past two centuries. Future palaeo(hydro)climatological efforts targeting the Carpathian(-Balkan) region are recommended to track carefully the spatial domains for which a given, local, proxy-derived hydroclimate reconstruction might provide useful information.