3,291 research outputs found
GIS and Geostatistics for Supporting Environmental Analyses in Space-Time
The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial
information in support of decision systems. Over the last few years there has been a considerable interest in
these tools and in the role they can play in spatial planning and environmental modelling.
One of the earliest and most famous definition of spatial planning was “a geographical expression to the
economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows
how an interdisciplinary approach is an effective way to an harmonious integration of national policies with
regional and local analysis.
A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis,
nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial
association; all of these tools provide the policy-maker with a valuable support to policy development.
Chapter 4 Abstract:
The environmental risk assessment involves the analysis of complex phenomena. Different kinds of information, such as environmental, socio-economic, political and institutional data, are usually collected. In this chapter, spatio-temporal geostatistical analysis is combined with the use of a Geographic Information System (GIS): the integration between geostatistical tools and GIS enables the identification and the visualization of alternative scenarios regarding a phenomenon under study and supports the environmental risk management.
A case study on environmental data measured at different monitoring stations in the southern part of Apulia Region (South of Italy), called Grande Salento, is discussed. Sample data concerning daily averages of PM10, Wind Speed and Atmospheric Temperature, are used for stochastic prediction, through space–time indicator kriging.
Kriging results are implemented in a GIS and a 3D representation of the spatio-temporal probability maps is proposed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Digic@re DIGItal Curriculum And REsearch. Un Curricolo digitale verticale di Educazione all’Informazione
Il presente volume nasce nell’ambito del progetto Digic@re DIGItal
Curriculum And REsearch, finanziato dal Ministero dell'Istruzione
attraverso un bando relativo alla realizzazione di Curricoli Digitali
come previsto dall’Azione #15 del Piano Nazionale Scuola Digitale
(PNSD). Rappresenta il punto di arrivo di un’articolata serie di
attività di formazione e di ricerca-azione condotte nel biennio
2020-2022 con la finalità generale di progettare, sviluppare e
testare il prototipo di un Curricolo Digitale verticale per la
formazione di competenze nel campo dell’Educazione
all’informazione. La realizzazione del progetto ha visto coinvolta
una rete di 24 scuole siciliane (dalla Scuola dell’infanzia alla
Secondaria di II grado). I docenti individuati da ciascuna scuola
(145 in totale) hanno partecipato a un percorso formativo blended,
articolato in attività seminariali, webinar, incontri di
co-progettazione tenuti da esperti formatori e dai componenti del
CTS, che hanno supportato attivamente la definizione e
l’implementazione delle attività didattiche e di ricerca, adattandole
alle caratteristiche ed esigenze delle diverse scuole, cui è seguita la
fase della sperimentazione didattica in classe e quindi la revisione
finale del Curricolo. Le schede sintetiche qui raccolte rimandano
alle UDA complete disponibili nel sito del Curricolo Digitale verticale
di Educazione all’informazione https://digicare.palumboeditore.it
Geostatistics and GIS: tools for environmental risk assessment
The environmental risk analysis involves the observation of complex phenomena. Different kinds of information, such as environmental, socio-economic, political and institutional data, are usually collected. In this paper, spatial-temporal geostatistical analysis is combined with the use of a Geographic Information System (GIS): the integration between geostatistical tools and GIS enables the identification of alternative scenarios and possible strategies for the environmental risk manage- ment. A case study on environmental data measured in the southern part of Apulia region (South of Italy), called Grande Salento, is discussed. Sample data (concentra- tions of PM10, wind speed, temperature) taken at different air monitoring stations are used for stochastic prediction, through space-time indicator kriging
Imparare le lingue per abbracciare il mondo
L’autrice che si colloca, come Daniela Zorzi, tra i fautori di una linguistica “impegnata”, propone in ricordo della studiosa amica, una riflessione sul ruolo cruciale del multilinguismo e delle lingue- culture, per il successo professionale e il benessere sociale, nella società contemporanea. Il multilinguismo appare come un’urgenza educativa che interpella studiosi e formatori a tutti i livelli al fine di promuovere nei giovani un apprendimento consapevole efficace ed autonomo.Multilingualism constitutes an urgent objective for education, which needs to involve teachers and researchers at all levels if we are to promote effective and autonomous learning in the young. Like Daniela Zorzi, the author considers herself a socially engaged linguist, and in memory of her friend’s work, offers a reflection on the key roles of languages and cultures and of multilingualism for professional success and social welfare today
PM 10 Time Series Analysis Through Geostatistical Techniques
Particulate matter (PM) is an air pollutant comes from vehicular traffic, industrial activities
and street dust, or from the atmosphere, by transformation of the gaseous emissions. In
recent years the interest in the health effects of this pollutant have increased, since high
concentration levels in urban area have been measured.
Several studies suggest an association between fine particulate air pollution and the increase
of the mortality rate. In particular, PM up to 10 micrometers in size (PM10) could cause
negative health effects such as respiratory illness or cardiovascular problems. Hence, the
analysis of temporal evolution of this pollutant could be useful in decision-making process
for environmental policy.
Typically, in time series analysis, the Box-Jenkins methodology is widely applied and the
autocorrelation function (ACF) is used as a standard exploratory tool to identify the model
structure . In this context, the use of geostatistical techniques could also be convenient,
nevertheless these techniques are usually applied to analyze, through the variogram, spatial
relationships among sample data measured at some locations in a domain and to predict
the corresponding spatial phenomena
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