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Spatial Techniques for Soil Erosion Estimation: Remote Sensing And Gis Approach (Springerbriefs In Gis Ser.)
by Rupesh Jayaram PatilThis book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.
Spatial Technology and Archaeology: The Archaeological Applications of GIS
by David Wheatley Mark GillingsGeographical Information Systems (GIS) and related spatial technologies have a new and powerful role to play in archaeological interpretation. Beginning with a conceptual approach to the representation of space adopted by GIS, this book examines spatial databases; the acquisition and compilation of data; the analytical compilation of data; the anal
Spatial Temporal Information Systems: An Ontological Approach using STK
by Linda M. McNeil T.S. KelsoDesigned to be a high-level, approachable resource for engineers who need further insight into spatial temporal information systems from an ontological perspective, Spatial Temporal Information Systems: An Ontological Approach using STK explains the dynamics of objects interaction from signal analysis to trajectory design, spatial modeling, and oth
Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II
by Paolo Arena Luca PatanèThis book presents the result of a joint effort from different European Institutions within the framework of the EU funded project called SPARK II, devoted to device an insect brain computational model, useful to be embedded into autonomous robotic agents. Part I reports the biological background on Drosophila melanogaster with particular attention to the main centers which are used as building blocks for the implementation of the insect brain computational model. Part II reports the mathematical approach to model the Central Pattern Generator used for the gait generation in a six-legged robot. Also the Reaction-diffusion principles in non-linear lattices are exploited to develop a compact internal representation of a dynamically changing environment for behavioral planning. In Part III a software/hardware framework, developed to integrate the insect brain computational model in a simulated/real robotic platform, is illustrated. The different robots used for the experiments are also described. Moreover the problems related to the vision system were addressed proposing robust solutions for object identification and feature extraction. Part IV includes the relevant scenarios used in the experiments to test the capabilities of the insect brain-inspired architecture taking as comparison the biological case. Experimental results are finally reported, whose multimedia can be found in the SPARK II web page: www. spark2. diees. unict. it
Spatial Thinking in Environmental Contexts: Maps, Archives, and Timelines
by Sandra L. Arlinghaus Joseph J. Kerski Ann Evans Larimore Matthew NaudSpatial Thinking in Environmental Contexts: Maps, Archives, and Timelines cultivates the spatial thinking "habit of mind" as a critical geographical view of how the world works, including how environmental systems function, and how we can approach and solve environmental problems using maps, archives, and timelines. The work explains why spatial thinking matters as it helps readers to integrate a variety of methods to describe and analyze spatial/temporal events and phenomena in disparate environmental contexts. It weaves together maps, GIS, timelines, and storytelling as important strategies in examining concepts and procedures in analyzing real-world data and relationships. The work thus adds significant value to qualitative and quantitative research in environmental (and related) sciences. Features Written by internationally renowned experts known for taking complex ideas and finding accessible ways to more broadly understand and communicate them. Includes real-world studies explaining the merging of disparate data in a sensible manner, understandable across several disciplines. Unique approach to spatial thinking involving animated maps, 3D maps, GEOMATs, and story maps to integrate maps, archives, and timelines—first across a single environmental example and then through varied examples. Merges spatial and temporal views on a broad range of environmental issues from traditional environmental topics to more unusual ones involving urban studies, medicine, municipal/governmental application, and citizen-scientist topics. Provides easy to follow step-by-step instructions to complete tasks; no prior experience in data processing is needed.
Spatial Variation and Seasonality in Growth and Reproduction of Enhalus Acoroides (L.f.) Royle Populations in the Coastal Waters Off Cape Bolinao, NW Philippines
by Rene. N. RollonThis text explores the spatial variation and seasonality in growth and reproduction of "Enhalus acoroides" (L.f.) Royle populations in the coastal waters off Cape Bolinao, NW Phillipines.
Spatial Variation of Seismic Ground Motions: Modeling and Engineering Applications (Advances in Engineering Series)
by Aspasia ZervaThe spatial variation of seismic ground motions denotes the differences in the seismic time histories at various locations on the ground surface. This text focuses on the spatial variability of the motions that is caused by the propagation of the waveforms from the earthquake source through the earth strata to the ground surface, and it brings toge
The Spatialities of Radio Astronomy (Routledge Research in Architecture)
by Guy TrangošThe Spatialities of Radio Astronomy examines the multidisciplinary overlap between the spatial disciplines and the studies of science and technology through a comparative study of four of the world’s most important radio telescopes. Employing detailed analysis, historical research, interviews, personal observations, and various conceptual manoeuvres, Guy Trangoš reveals the depth of spatial process active at these scientific sites and the territories they traverse. Through the conceptual frameworks of territory, hyper-concentration, and contingency, Trangoš interprets the telescope as exploded across space and time, present in multiple connected sites simultaneously, and active in the production of space. He develops a historiographic and contemporary analysis of the Atacama Large Millimeter/submillimeter Array (ALMA, Chile); the Five-hundred-meter Aperture Spherical radio Telescope (FAST, China); the Arecibo Observatory (Puerto Rico); and the MeerKAT/SKA (South Africa). These case studies are global exemplars of the different spatial transformations that occur through science. Their relationships to surrounding communities and landscapes reveal deeper constitutional processes embodied in each institutional and spatial form. This book spans the modern history of architecture and science, the studies of science, technology and society, and urban theory. It is of specific interest to architects and designers expanding their analysis of spatial production, scholars in the study of geography, landscape, science, technology, and astronomy, and people fascinated with how these radio telescopes were conceptualised, built, and operate today.
Spatially Resolved Characterization in Thin-Film Photovoltaics
by Matevž Bokalič Marko TopičThe book is devoted to the spatial characterization of solar cells and PV modules. It is written both as a monograph as well as a succinct guide for the state-of-the-art spatial characterization techniques and approaches. Amongst the approaches discussed are visual imaging, electro- and photo-luminescence imaging, thermography, and light beam induced mapping techniques. Emphasis is given on the luminescence image acquisition and interpretation due to its great potential. Characterization techniques are accompanied by simulation tools. The contents are aimed at a readership of students and senior researchers in R&D as well as engineers in industry who are newcomers to the spatial characterization of either solar cells or PV modules. The concepts and approaches presented herein are based on but not limited to case studies of real thin-film PV devices. Key features: Review of spatially resolved characterization techniques and accompanying SPICE simulations in photovoltaics Use of spatially resolved characterization techniques and their combinations for the identification of inhomogeneities in small area CdTe and dye-sensitized solar cells Case studies of electroluminescence imaging of commercial PV modules (c-Si, CIGS, CdTe, a-Si, tandem and triple junction thin-film-Si) The contents are aimed at a readership of students and senior researchers in R&D as well as engineers in industry who are newcomers to the spatial characterization of either solar cells or PV modules. The concepts and approaches presented herein are based on but not limited to case studies of real thin-film PV devices. Key features: Review of spatially resolved characterization techniques and accompanying SPICE simulations in photovoltaics Use of spatially resolved characterization techniques and their combinations for the identification of inhomogeneities in small area CdTe and dye-sensitized solar cells Case studies of electroluminescence imaging of commercial PV modules (c-Si, CIGS, CdTe, a-Si, tandem and triple junction thin-film-Si)
Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction (IHE Delft PhD Thesis Series)
by Vitali Diaz MercadoStudies of drought have increased in light of new data availability and advances in spatio-temporal analysis. However, the following gaps still need to be filled: 1) methods to characterise drought that explicitly consider its spatio-temporal features, such as spatial extent (area) and pathway; 2) methods to monitor and predict drought that include the above-mentioned characteristics and 3) approaches for visualising and analysing drought characteristics to facilitate interpretation of its variation. This research aims to explore, analyse and propose improvements to the spatio-temporal characterisation of drought. Outcomes provide new perspectives towards better prediction. The following objectives were proposed. 1) Improve the methodology for characterising drought based on the phenomenon’s spatial features. 2) Develop a visual approach to analysing drought variations. 3) Develop a methodology for spatial drought tracking. 4) Explore machine learning (ML) techniques to predict crop-yield responses to drought. The four objectives were addressed and results are presented. Finally, a scope was formulated for integrating ML and the spatio-temporal analysis of drought. Proposed scope opens a new area of potential for drought prediction (i.e. predicting spatial drought tracks and areas). It is expected that the drought tracking and prediction method will help populations cope with drought and its severe impacts.
Spatio-Temporal Modeling and Device Optimization of Passively Mode-Locked Semiconductor Lasers (Springer Theses)
by Stefan MeineckeThis thesis investigates passively mode-locked semiconductor lasers by numerical methods. The understanding and optimization of such devices is crucial to the advancement of technologies such as optical data communication and dual comb spectroscopy. The focus of the thesis is therefore on the development of efficient numerical models, which are able both to perform larger parameter studies and to provide quantitative predictions. Along with that, visualization and evaluation techniques for the rich spatio-temporal laser dynamics are developed; these facilitate the physical interpretation of the observed features.The investigations in this thesis revolve around two specific semiconductor devices, namely a monolithically integrated three-section tapered quantum-dot laser and a V-shaped external cavity laser. In both cases, the simulations closely tie in with experimental results, which have been obtained in collaboration with the TU Darmstadt and the ETH Zurich. Based on the successful numerical reproduction of the experimental findings, the emission dynamics of both lasers can be understood in terms of the cavity geometry and the active medium dynamics. The latter, in particular, highlights the value of the developed simulation tools, since the fast charge-carrier dynamics are generally not experimentally accessible during mode-locking operation. Lastly, the numerical models are used to perform laser design explorations and thus to derive recommendations for further optimizations.
Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS: A Case Study of an Agro-climatic Zone-1 of Gujarat, India (SpringerBriefs in Climate Studies)
by K. Naveena Ramiz Tasiya Shilpesh RanaThis book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests. The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends. About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other. This book is aimed at researchers, scientists and government organizations working in the field of climate change.
Spatiotemporal Analytics
by Jay LeeThis book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects. Spatiotemporal analyses are very important in geography, environmental sciences, economy, and many other domains. Spatiotemporal Analytics explains in very simple terms the concepts of spatiotemporal data and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers not only to learn statistics but also to use them effectively in their projects. • Provides a comprehensive understanding of spatiotemporal analytics to readers with minimum knowledge in statistics. • Written in simple, understandable language with step-by-step instructions. • Includes numerous examples for all theories and methods explained in the book covering a wide range of applications from different disciplines. • Each application includes a software code needed to follow the instructions. • Each chapter also has a set of prepared PowerPoint slides to help spatiotemporal analytics instructors explain the content. Undergraduate and graduate students who use Geographic Information Systems or study Geographical Information Science will find this book useful. The subject matter is also pertinent to an array of disciplines such as agriculture, anthropology, archaeology, architecture, biology, business administration and management, civic engineering, criminal justice, epidemiology, geography, geology, marketing, political science, and public health.
Spatiotemporal Data Analytics and Modeling: Techniques and Applications (Big Data Management)
by John A Satheesh Abimannan El-Sayed M. El-Alfy Yue-Shan ChangWith the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.
Spatiotemporal Dynamics of Meteorological and Agricultural Drought in China
by Yi Li Guang Yang Asim Biswas Faliang Yuan Qiang Zhou Fenggui Liu Zhihao LiaoThis book explores spatiotemporal analysis and impact assessment of agricultural drought in China and investigates the correlation coefficient between meteorological drought and agricultural drought. It then conducts multivariate frequency analysis of drought events using drought indices and copula functions. It aims to reveal spatiotemporal characteristics and impacts of agricultural drought in China both on vegetation phenology and productivity. The book assesses the performances of drought indices for better predicting multi-year droughts and return periods and drought risk assessment.
Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R
by William E. SchiesserThe focus of this book is a detailed discussion of a dual cancer vaccine (CV)-immune checkpoint inhibitor (ICI) mathematical model formulated as a system of partial differential equations (PDEs) defining the spatiotemporal distribution of cells and biochemicals during tumor growth.A computer implementation of the model is discussed in detail for the quantitative evaluation of CV-ICI therapy. The coding (programming) consists of a series of routines in R, a quality, open-source scientific computing system that is readily available from the internet. The routines are based on the method of lines (MOL), a general PDE algorithm that can be executed on modest computers within the basic R system. The reader can download and use the routines to confirm the model solutions reported in the book, then experiment with the model by varying the parameters and modifying/extending the equations, and even studying alternative models with the PDE methodology demonstrated by the CV-ICI model.Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model, and more generally, computer- based analysis of cancer immunotherapy mathematical models, as a step toward the development and quantitative evaluation of the immunotherapy approach to the treatment of cancer.
Spears of God
by Howard V. HendrixIn the early decades of the twenty-first century, the most commonly held truth is that knowledge is power. Yet a select few men and women begin to suspect what few will admit: we know nothing at all. The world’s oil resources have dwindled. The rich are turning richer and the power-mongers are becoming more powerful. China and the United States dominate the globe in a geopolitical chess match. The human mind has merged with the cybergrid, yet the human race seems not to have evolved much at all. ...
Special Computer Architectures for Pattern Processing
by King-Sun FuIt has been recognized for a long time that a conventional sequential processor is inefficient for operations on pictorial data where relatively simple operations need to be performed on a large number of data elements (pixels). Though many parallel processing architectures for picture processing have been proposed in the past, very few have actually been implemented due to the costs involved. With LSI technology, it is becoming possible to realize parallel architectures at a modest cost. In the following the authors review some of the proposed architectures for pattern recognition and image processing.
Special Concretes - Workability and Mixing
by Peter J.M.BartosThis book forms the Proceedings of the International RILEM Workshop held in Paisley in March 1993. It contains contributions on theoretical and practical aspects of the use of special concretes, with a particular focus on their behaviour in the fresh state.
Special Edition - Environmental Engineering Dictionary and Directory
by Thomas M. PankratzLike most technical disciplines, environmental science and engineering is becoming increasingly specialized. As industry professionals focus on specific environmental subjects they become less familiar with environmental problems and solutions outside their area of expertise. This situation is compounded by the fact that many environmental science
Special Educational Needs and the Internet: Issues for the Inclusive Classroom
by Chris AbbottWith Internet access for every school now a reality, teachers are beginning to explore the use of the Internet in the education of children with special needs. This book describes its benefits for children across the spectrum of special educational needs, from those with physical disabilities or sensory impairment to those with learning or social difficulties.With contributions from leading practitioners in the field, this book addresses the huge range of possibilities the Internet and associated technology offer for these pupils. Combining current theory and debate with practical guidance and inspiring case studies, this book considers:* how the Internet can be used to gather and publish information* how to communicate effectively through technology* policy and management issues for schools* the continuing challenges for access and inclusion.This book will be of interest to all teachers involved in special education needs, in both mainstream and special schools.
Special Effects: Still in Search of Wonder (Film and Culture Series)
by Michele PiersonDesigned to trick the eye and stimulate the imagination, special effects have changed the way we look at films and the worlds created in them. Computer-generated imagery (CGI), as seen in Hollywood blockbusters like Star Wars, Terminator 2, Jurassic Park, Independence Day, Men in Black, and The Matrix, is just the latest advance in the evolution of special effects. Even as special effects have been marveled at by millions, this is the first investigation of their broader cultural reception. Moving from an exploration of nineteenth-century popular science and magic to the Hollywood science fiction cinema of our time, Special Effects examines the history, advancements, and connoisseurship of special effects, asking what makes certain types of cinematic effects special, why this matters, and for whom. Michele Pierson shows how popular science magazines, genre filmzines, and computer lifestyle magazines have articulated an aesthetic criticism of this emerging art form and have helped shape how these hugely popular on-screen technological wonders have been viewed by moviegoers.
Special Electrical Machinery
by Jigneshkumar P. DesaiThis book is a comprehensive guide to specialized motors, providing in-depth information on the operating principles, applications, and controls of various special electrical machines. It covers a range of special machines, including switched reluctance motors, permanent magnet synchronous machines, brushless direct current motor, stepper motors, universal motors, and hysteresis motors. The book also addresses the issue of torque ripple. Much of the literature available today focuses solely on conventional motors and their controls, like induction motors, synchronous motors, PMDC motors, servo machines, and transformers. This book takes a broader view, addressing the growing trend toward specialized motors tailored to specific applications and new innovations in control and modification. It aims to offer comprehensive insights into these special machines by providing detailed information on their operating principles, applications, and controls. This exciting new volume: Provides application-based examples of machines not covered in other books on special machines Provides context for the use of special machines used in electric vehicle technology Gives examples which are helpful for industry practices Audience Undergraduate students, post-graduate students, researchers, and industry professionals who study and use special machines
Special Functions for Scientists and Engineers
by W. W. BellClear and comprehensive, this text provides undergraduates with a straightforward guide to special functions. It is equally suitable as a reference volume for professionals, and readers need no higher level of mathematical knowledge beyond elementary calculus. Topics include the solution of second-order differential equations in terms of power series; gamma and beta functions; Legendre polynomials and functions; Bessel functions; Hermite, Laguerre, and Chebyshev polynomials; Gegenbauer and Jacobi polynomials; and hypergeometric and other special functions. Three appendices offer convenient tabulation of principal results, and a generous supply of worked examples and problems includes some hints and solutions. 1968 edition. 25 figures.
Special Functions in Fractional Calculus and Engineering (Mathematics and its Applications)
by Harendra Singh H. M. Srivastava R. K. PandeySpecial functions play a very important role in solving various families of ordinary and partial differential equations as well as their fractional-order analogs, which model real-life situations. Owing to the non-local nature and memory effect, fractional calculus is capable of modeling many situations which arise in engineering. This book includes a collection of related topics associated with such equations and their relevance and significance in engineering. Special Functions in Fractional Calculus and Engineering highlights the significance and applicability of special functions in solving fractional-order differential equations with engineering applications. This book focuses on the non-local nature and memory effect of fractional calculus in modeling relevant to engineering science and covers a variety of important and useful methods using special functions for solving various types of fractional-order models relevant to engineering science. This book goes on to illustrate the applicability and usefulness of special functions by justifying their numerous and widespread occurrences in the solution of fractional-order differential, integral, and integrodifferential equations.This book holds a wide variety of interconnected fundamental and advanced topics with interdisciplinary applications that combine applied mathematics and engineering sciences, which are useful to graduate students, Ph.D. scholars, researchers, and educators interested in special functions, fractional calculus, mathematical modeling, and engineering.