{"id":1037,"date":"2020-06-04T13:22:41","date_gmt":"2020-06-04T13:22:41","guid":{"rendered":"http:\/\/marcobittelli.it\/?page_id=1037"},"modified":"2026-04-14T15:18:27","modified_gmt":"2026-04-14T15:18:27","slug":"books","status":"publish","type":"page","link":"https:\/\/marcobittelli.it\/?page_id=1037","title":{"rendered":"Music"},"content":{"rendered":"\t\t
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Book: 2022. Bittelli M., R. Olmi and R. Rosa. Random Processes Analysis with R<\/a>. Oxford University Press.<\/em><\/p>

\u00a0<\/em><\/p>

Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic.<\/p>

\u00a0Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book: 2017. Huffaker R., M. Bittelli and R. Rosa. Non Linear Time Series Analysis with R<\/a>. Oxford University Press<\/em>.\u00a0<\/p>

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In the process of data analysis, the investigator is often facing highly-volatile and random-appearing observed data. A vast body of literature shows that the assumption of underlying stochastic processes was not necessarily representing the nature of the processes under investigation and, when other tools were used, deterministic features emerged. Non Linear Time Series Analysis (NLTS) allows researchers to test whether observed volatility conceals systematic non linear behavior, and to rigorously characterize governing dynamics. Behavioral patterns detected by non linear time series analysis, along with scientific principles and other expert information, guide the specification of mechanistic models that serve to explain real-world behavior rather than merely reproducing it. Often there is a misconception regarding the complexity of the level of mathematics needed to understand and utilize the tools of NLTS (for instance Chaos theory). However, mathematics used in NLTS is much simpler than many other subjects of science, such as mathematical topology, relativity or particle physics. For this reason, the tools of NLTS have been confined and utilized mostly in the fields of mathematics and physics. However, many natural phenomena investigated I many fields have been revealing deterministic non linear structures. In this book we aim at presenting the theory and the empirical of NLTS to a broader audience, to make this very powerful area of science available to many scientific areas. This book targets students and professionals in physics, engineering, biology, agriculture, economy and social sciences as a textbook in Nonlinear Time Series Analysis (NLTS) using the R computer language.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book: 2015. Bittelli M., G. S. Campbell and F. Tomei.\u00a0<\/span>Soil Physics with Python.\u00a0<\/a>Transport in the Soil-Plant-Atmosphere System. Oxford University Press.<\/em><\/span><\/p>

\u00a0<\/em><\/span><\/p>

This book presents numerical methods to solve soil physics problems using computers. It starts with the theory and then shows how to use Python code to solve the problems. Most soil physics books focus on deriving rather than solving the differential equations for mass and energy transport in the soil\u2013plant\u2013atmosphere continuum. The focus of this book is on solutions. Agricultural and biological scientists usually have a good working knowledge of algebra and calculus, but not of differential equations. Here numerical procedures are used to solve differential equations. This allows the solution of quite difficult problems with fairly simple mathematical tools. Numerical methods convert differential into algebraic equations, which can be solved using conventional methods of linear algebra. Each chapter introduces soil physics concepts. Most chapters then go on to develop computer programs to solve the equations and illustrate the points made in the discussion. Exercises at the end of each chapter help the reader practice using the concepts introduced in the chapter. The exercises and computer programs are an integral part of the presentation, and readers are strongly encouraged to experiment with each model until both its working and the concepts it teaches are familiar.<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter: 2020. Layered Nature. Assessing and Monitoring the Environment for the Development of an Archaeological Park Paola Rossi Pisa, Luca Berichillo, Marco Bittelli, Vincenzo Fortunati, Marco Vignudelli. In: An \u201cIntegrated Approach for an Archaeological and Environmental Park in South-Eastern Turkey\u201d. Ed.: N. Marchetti, G. Franco, S. F. Musso, and M.B. Spadolini. Springer Nature<\/em>, Switzerland.<\/p>

\u00a0<\/p>

The case study of Tilmen H\u00f6y\u00fck is presented here to describe a combination of different integrated approaches. The site has been assessed from a climatic, topographical, pedological, hydrological, vegetational and vegetation management standpoint. This study provided a wealth of information that was used for acquiring a deeper understanding of the present environment, in view also of designing and planning the archaeological park. At the same time, remote monitoring was experimented in view of future applications and management protocols.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter: 2017. Ruairuen W., G. J. Fochesatto, <\/span>M. Bittelli<\/span> , E. B. Sparrow, M. Zhang and W. Schnabel. Evapotranspiration in Northern Agro-Ecosystems: Numerical Simulation and Experimental Comparison. In: “<\/span>Current Perspective to Predict Actual Evapotranspiration<\/em><\/a>“, Ed. Daniel Bucur, Chapter 4, pp.65-84. ISBN 978-953-51-3174-8, doi: 10.5772\/intechopen.68347 .<\/span><\/p>


<\/span><\/p>\n

Evapotranspiration and near-surface soil moisture dynamics are key-entangled variables regulating flux at the surface-atmosphere interface. Both are central in improving mass and energy balances in agro ecosystems. However, under the extreme conditions of high-latitude soils and weather pattern variability, the implementation of such coupled liquid and vapor phase numerical simulation remain to be tested. We consider the nonisothermal solution of the vapor flux equation that accounts for the thermally driven water vapor transport and phase changes. Fully coupled flux model outputs are compared and contrasted against field measurements of soil temperature, heat flux, water content, and evaporation in a subarctic agroecosystem in Alaska. Two well-defined hydro-meteorological situations were selected: dry and wet periods. Numerical simulation was forced by time series of incoming global solar radiation and atmospheric surface layer thermodynamic parameters: surface wind speed, ambient temperature, relative humidity, precipitation, and soil temperature and soil moisture. In this simulation, soil parameters changing in depth and time are considered as dynamically adjusted boundary conditions for solving the set of coupled differential equations.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2016. Bordoni M., C. Meisina, R. Valentino,\u00a0<\/span>M. Bittelli<\/span>, S. Chersich, M. Musetti. Analysis of Hydro-meteorological Monitoring Data Collected in Different Contexts Prone to Shallow Landslides of the Oltrep\u00f2 Pavese. In: “<\/span>Advancing Culture of Living with Landslides<\/em><\/a>“, ISBN:9783319534862, vol. 3, pp.357-364, doi:10.1007\/9783319534879.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2016. Bordoni M., C. Meisina, <\/span>M. Bittelli\u00a0and S. Chersich. Monitoring of hydrological parameters for the identification of shallow landslides triggering: A case study from Northern Italy. In book:\u00a0<\/span>Landslides and Engineered Slopes<\/em><\/a>. Experience, Theory and Practice, pp.475-482. DOI: 10.1201\/b21520-49.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2014. Bordoni M., D. Zizioli, C. Meisina, R. Valentino,\u00a0M. Bittelliand S. Chersich. Rainfall-Induced Landslides: Slope Stability Analysis Through Field Monitoring. In:\u00a0Landslide Science for a Safer Geoenvironment<\/em><\/a>. Eds. K. Sassa, P. Canuti and Y. Yin, pp. 273-279, Springer. ISBN: 978-3-319-04995-3 (Print), 978-3-319-04996-0 (Online).\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2011.\u00a0<\/span>Bittelli, M.<\/span>,A. Pistocchi, F. Tomei, P. P. Roggero, R. Orsini, M. Toderi, G. Antolini and M. Flury. CRITERIA-3D: A Mechanistic Model for Surface and Subsurface Hydrology for Small Catchments. In: “<\/span>Land Use and Agriculture Measurement and Modelling<\/a>“<\/em>. Ed. M. K. Shukla, CABI Publishing. ISBN: 184593797X.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2009. <\/span>M. Bittelli, Georadar, In: “<\/span>Groma 2. In profondit\u00e0 senza scavare<\/a>“<\/em>, Ed. E. Giorgi, Casa Editrice BraDypUS, Bologna, pp. 251-272.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Book Chapter:\u00a0<\/span>2008. Paola Rossi Pisa, Gabriele Bitelli, <\/span>Marco Bittelli<\/b>, Maria Speranza, Lucia Ferroni, Pietro Catizone and Marco Vignudelli. Environmental Assessment of an Archaeological Site for the Development of an Archaeological Park. ARCHAIA. <\/span>“Case studies on Research Planning, Characterisation, Conservation and Management of Archaeological Sites<\/a>“<\/em>. Ed. N. Marchetti and I. Thuesen. <\/span>Archaeopress<\/i>, Oxford, England.<\/span><\/div>
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\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Book: 2022. Bittelli M., R. Olmi and R. Rosa. Random Processes Analysis with R. Oxford University Press. \u00a0 Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision …<\/p>\n

Music<\/span> Read More »<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":[],"_links":{"self":[{"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/pages\/1037"}],"collection":[{"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marcobittelli.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1037"}],"version-history":[{"count":709,"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/pages\/1037\/revisions"}],"predecessor-version":[{"id":5904,"href":"https:\/\/marcobittelli.it\/index.php?rest_route=\/wp\/v2\/pages\/1037\/revisions\/5904"}],"wp:attachment":[{"href":"https:\/\/marcobittelli.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}