Books: 'Spatial field'

1

Levinson, Stephen C. Primer for the field investigation of spatial description and conception. Nijmegen: Max Planck Research Group for Cognitive Anthropology, 1991.

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2

Crouse, Chadd. Evaluation of the use of spatial modeling to improve county yield estimation. Washington, D.C: U.S. Dept. of Agriculture, National Agricultural Statistics Service, Research Division, 2000.

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3

Wells, Susan K. Temporal and spatial decorrelation scales of the Yellow Sea thermal field[s]. Monterey, Calif: Naval Postgraduate School, 1994.

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4

Hashim, Abdelaziz Abdelfattah. The marketing system for sorghum and other major crops in the Sudan: A spatial and temporal equilibrium analysis. Kiel: Wissenschaftsverlag Vauk, 1994.

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5

Voorhies, Coerte V. Elementary theoretical forms for the spatial power spectrum of Earth's crustal magnetic field. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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6

Andrén, Olof. Spatial variation of soil physical and chemical properties in an arable field with high clay content. Uppsala: Sveriges lantbruksuniversitet, Institutionen för ekologi och miljövård, 1990.

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7

Saleeb, Atef F. Defect localization capabilities of a global detection scheme: Spatial pattern recognition using full-field vibration test data in plates. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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8

Lakshminarayana, B. The three dimensional flow field at the exit of an axial-flow turbine rotor. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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9

Lakshminarayana, B. The three dimensional flow field at the exit of an axial-flow turbine rotor. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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10

Leighton, David A. Spatial distribution of selenium and other inorganic constituents in ground water underlying a drained agricultural field, western San Joaquin Valley, California. Sacramento, Calif: U.S. Geological Survey, 1992.

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11

Lyang, Viktor. CAD programming: Spatial modeling of the air cooling device in the Autodesk Inventor environment. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/991757.

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The tutorial discusses in detail the creation of an external subsystem for Autodesk Inventor in a high-level C# Microsoft Visual Studio language of a low-flow air cooling device. Such issues as working in the Microsoft Visual Studio 2010 programming environment, connecting the library of Autodesk Inventor API functions to an external user subsystem, spatial solid-state modeling of elements of the air cooling apparatus, saving constructed objects, assembling the apparatus from stored modules using the interface of basic coordinate planes are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of Computer Science and Computer Engineering, in preparation for laboratory work and exam. It can be used by students of other specialties when studying the courses "Fundamentals of Computer Science", "High-level programming language" and "3D modeling of machines and apparatuses". It is useful for programmers who are engaged in spatial modeling of objects.

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12

Hristopulos, Dionissios T. Random Fields for Spatial Data Modeling. Dordrecht: Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-024-1918-4.

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13

Spodarev, Evgeny, ed. Stochastic Geometry, Spatial Statistics and Random Fields. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33305-7.

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14

Schmidt, Volker, ed. Stochastic Geometry, Spatial Statistics and Random Fields. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10064-7.

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15

Collecting spatial data: Optimum design of experiments for random fields. New York: Physica-Verlag, 1998.

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16

Müller, W. G. Collecting spatial data: Optimum design of experiments for random fields. 2nd ed. New York: Physica-Verlag, 2001.

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17

J, Schensul Jean, and LeCompte Margaret Diane, eds. The ethnographer's toolkit. Walnut Creek, Calif: AltaMira Press, 1999.

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18

Colbourne, E. B. Spatial temperature and salinity fields over the shelves of Newfoundland and Labrador. Ottawa, Ont: Minister of Supply and Services Canada, 1994.

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19

Colbourne, Eugene B. Spatial temperature and salinity fields over the shelves of Newfoundland and Labrador. St. John's, Nfld: Fisheries and Oceans Canada, 1994.

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20

Porcu, Emilio. Random Fields And Applications To SpaceTime, Multivariate, Functional Geostatistics, And Spatial Extremes. Boca Raton, Florida, USA: Chapman and Hall/CRC, 2013.

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21

Fomin, Vladimir. Optimal Filtering: Volume II: Spatio-Temporal Fields. Dordrecht: Springer Netherlands, 1999.

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22

Iqbal, R. Noise analysis in tracking the features of a spatially distributed field. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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23

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".

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24

Es'kov, Evgeniy. Biological effects of electromagnetic fields. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1229809.

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The monograph, based on the use of literary information and research materials of the author, attempts to systematize the influence of natural and anthropogenic electric fields on biological objects of different levels of complexity. The origin of cosmic and terrestrial magnetism is described and the influence of this factor on the physiological state, viability and development of plant and animal objects is analyzed. The biological effects of magnetic storms are investigated. The mechanisms of generation, perception and use of electric fields in signaling and spatial orientation of animals are analyzed. Much attention is paid to the analysis of specific reactions of animals to electromagnetic fields. The prospects of using electromagnetic fields to control the behavior of animals and direct influence on the growth processes of plant objects are considered. For a wide range of readers interested in the possibilities of controlling animal behavior and influencing plant growth.

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25

Plaksina, Lyubov', Liliya Druzhinina, and Larisa Osipova. Inclusive education of children with disabilities psychological and pedagogical support of preschool children with visual impairments. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1045009.

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The textbook deals with theoretical and methodological issues of inclusive education of children with visual impairments. Clinical, psychological and pedagogical characteristics of preschool children with visual impairments are given. The features of the organization of the subject-spatial environment, the correctional orientation of general education classes are shown. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the areas of training "Special (defectological) education", "Psychological and pedagogical education" , for students of advanced training and retraining courses in the field of special and inclusive education.

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26

Spatio-temporal chaos and vacuum fluctuations of quantized fields. New Jersey: World Scientific, 2002.

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27

Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.

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28

Edwards, J. B. Tracking the features of a spatially distributed continuous field: (the idealised 2D,deterministic case). Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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29

Dolins, Francine L., Christopher A. Shaffer, Leila M. Porter, Jena R. Hickey, and Nathan P. Nibbelink, eds. Spatial Analysis in Field Primatology. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781107449824.

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30

Dolins, Francine, Christopher Shaffer, Jena Hickey, Nate Nibbelink, and Leila Porter. Spatial Analysis in Field Primatology: Applying GIS at Varying Scales. University of Cambridge ESOL Examinations, 2020.

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31

Porter, Leila M., Francine L. Dolins, Christopher A. Shaffer, Jena R. Hickey, and Nathan P. Nibbelink. Spatial Analysis in Field Primatology: Applying GIS at Varying Scales. Cambridge University Press, 2020.

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32

Tatnall, Carrie Lynne. Applying spatial information technologies to the field of historic preservation. 2002.

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33

Nielsen, D., and O. Wendroth. Spatial and Temporal Statistics - Sampling Field Soils and Their Vegetation. Catena-Verlag, 2003.

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34

United States Environmental Protect Epa. Field Study to Determine Spatial Variability of Lead from Roadways. Independently Published, 2019.

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35

Porter, Leila M., Francine L. Dolins, Christopher A. Shaffer, Jena R. Hickey, and Nathan P. Nibbelink. Spatial Analysis in Field Primatology: Applying GIS at Varying Scales. University of Cambridge ESOL Examinations, 2021.

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36

Dolins, Francine, Christopher Shaffer, Jena Hickey, Nate Nibbelink, and Leila Porter. Spatial Analysis in Field Primatology: Applying GIS at Varying Scales. University of Cambridge ESOL Examinations, 2020.

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37

Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the tools to perform inference and prediction in the presence of uncertainty. In particular, the field of spatial statistics considers inference and prediction for uncertain processes that exhibit dependence in space and/or time. Traditionally, this is done descriptively through the characterization of the first two moments of the process, one expressing the mean structure and one accounting for dependence through covariability.Historically, there are three primary areas of methodological development in spatial statistics: geostatistics, which considers processes that vary continuously over space; areal or lattice processes, which considers processes that are defined on a countable discrete domain (e.g., political units); and, spatial point patterns (or point processes), which consider the locations of events in space to be a random process. All of these methods have been used in the climate sciences, but the most prominent has been the geostatistical methodology. This methodology was simultaneously discovered in geology and in meteorology and provides a way to do optimal prediction (interpolation) in space and can facilitate parameter inference for spatial data. These methods rely strongly on Gaussian process theory, which is increasingly of interest in machine learning. These methods are common in the spatial statistics literature, but much development is still being done in the area to accommodate more complex processes and “big data” applications. Newer approaches are based on restricting models to neighbor-based representations or reformulating the random spatial process in terms of a basis expansion. There are many computational and flexibility advantages to these approaches, depending on the specific implementation. Complexity is also increasingly being accommodated through the use of the hierarchical modeling paradigm, which provides a probabilistically consistent way to decompose the data, process, and parameters corresponding to the spatial or spatio-temporal process.Perhaps the biggest challenge in modern applications of spatial and spatio-temporal statistics is to develop methods that are flexible yet can account for the complex dependencies between and across processes, account for uncertainty in all aspects of the problem, and still be computationally tractable. These are daunting challenges, yet it is a very active area of research, and new solutions are constantly being developed. New methods are also being rapidly developed in the machine learning community, and these methods are increasingly more applicable to dependent processes. The interaction and cross-fertilization between the machine learning and spatial statistics community is growing, which will likely lead to a new generation of spatial statistical methods that are applicable to climate science.

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38

Center, Goddard Space Flight, ed. Elementary theoretical forms for the spatial power spectrum of Earth's crustal magnetic field. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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39

Center, Goddard Space Flight, ed. Elementary theoretical forms for the spatial power spectrum of Earth's crustal magnetic field. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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40

Laver, Michael, and Ernest Sergenti. Spatial Dynamics of Political Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0002.

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This chapter sets up the core problem of the present volume. To demonstrate that this problem is analytically intractable, it uses results from a subfield of geometry that deals with “Voronoi tessellations” (or tilings) that has powerful applications in many disciplines. Largely unnoticed by political scientists, this work addresses a problem of “competitive spatial location” that is directly analogous to the problem of dynamic competition between a set of political parties competing with each other by offering rival policy programs. One result from this field is that the problem of competitive spatial location is intractable if the space concerned has more than one dimension, implying that there are no formally provable best-response strategies for this. This is an important and widely recognized justification for deploying computational methods, and the study of Voronoi tessellations is a major subfield in computational geometry.

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41

Habgood, Mary Kay. SPATIAL ABILITY, MANUAL DEXTERITY AND FIELD DEPENDENCE/INDEPENDENCE RELATED TO PERFORMANCE IN BACCALAUREATE CLINICAL NURSING. 1987.

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42

J, Schensul Jean, ed. Mapping social networks, spatial data & hidden populations. Walnut Creek, Calif: AltaMira Press, 1999.

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43

Dorff, Cassy, Shahryar Minhas, and Michael D. Ward. Latent Networks and Spatial Networks in Politics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.11.

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Network analysis is a growing field in political science, with topics ranging from the study of individual actors in congressional networks to international war between countries. This chapter briefly summarizes the history of network analysis, the barriers facing previous approaches, and current innovations, with an emphasis on latent variable approaches. These approaches provide an organic link to the consideration of spatial networks, also discussed in detail. These innovations expand researchers’ ability to capture the many different facets of network-motivated questions, including how networks evolve or how spatial proximity determines network ties. The chapter concludes with a brief comparison of two major types of latent variable models and their relation to other network approaches commonly used in political science.

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44

Stellar occultation studies of the solar system: Final technical report, grant number--NAG2-1085, starting and ending dates--1996 April 1 through 1997 September 30. [Washington, DC: National Aeronautics and Space Administration, 1998.

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45

Center, NASA Glenn Research, ed. Defect localization capabilities of a global detection scheme: Spatial pattern recognition using full-field vibration test data in plates. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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46

Biggs, Kristian Pedersen. Spatial variability of the ambient noise field associated with the Marginal Ice Zone and its relationship to environmental parameters. 1988.

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47

Hayazawa, Norihiko, and Prabhat Verma. Nanoanalysis of materials using near-field Raman spectroscopy. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533053.013.10.

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This article describes the use of tip-enhanced near-field Raman spectroscopy for the characterization of materials at the nanoscale. Tip-enhanced near-field Raman spectroscopy utilizes a metal-coated sharp tip and is based on surface-enhanced Raman scattering (SERS). Instead of the large surface enhancement from the metallic surface in SERS, the sharp metal coated tip in the tip-enhanced Raman scattering (TERS) provides nanoscaled surface enhancement only from the sample molecules in the close vicinity of the tip-apex, making it a perfect technique for nanoanalysis of materials. This article focuses on near-field analysis of some semiconducting nanomaterials and some carbon nanostructures. It first considers SERS analysis of strained silicon and TERS analysis of epsilon-Si and GaN thin layers before explaining how to improve TERS sensitivity and control the polarization in detection for crystalline materials. It also discusses ways of improving the spatial resolution in TERS.

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48

Varin, Marie-Pierre, Marieke-Lise Beaulieu, and Yannick Huot, eds. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys. Université de Sherbrooke, 2021. http://dx.doi.org/10.17118/11143/18662.

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The NSERC Canadian Lake Pulse Network is a scientific initiative on environmental issues affecting Canadian lakes. It brings together experts in lake science, spatial modelling, analytical chemistry, public health, remote sensing, amongst others. The impacts of land-use changes, climate change and contaminants are assessed while developing new tools for lake stewardship. The 2017-2018-2019 Field Manual contains the detailed protocol followed by the field teams over the three field surveys conducted by the Network.

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49

Miller, Paul C. H. Automatic Recording by Application Machinery of Rates and Spatial Distribution of Field Inputs (Proceedings of the International Fertiliser Society S.). International Fertiliser Society, 1999.

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50

Certoma, Chiara, Susan Noori, and Martin Sondermann, eds. Urban gardening and the struggle for social and spatial justice. Manchester University Press, 2019. http://dx.doi.org/10.7228/manchester/9781526126092.001.0001.

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It is increasingly clear that, alongside the spectacular forms of justice activism, the actually existing just city outcomes from different everyday practices of performative politics that produce transformative trajectories and alternative realities in response to particular injustices in situated contexts. The massive diffusion of urban gardening practices (including allotments, community gardens, guerrilla gardening and the multiple, inventive forms of gardening the city) deserve a special attention as experiential learning and in-becoming responses to spatial politics, able to articulate different forms of power and resistance to current state of unequal distribution of benefits and burdens in the urban space. While advancing their socio-environmental claims, urban gardeners makes evident that the physical disposition of living beings and non-living things can both determine and perpetuate injustices or create justice spaces. In so doing, urban gardeners question the inequality-biased structuring and functioning of social formations (most notably urban deprivation, lack of public decision and engagement, and marginalization processes); and conversely create (or allow the creation of) spaces of justice in contemporary cities. This book presents a selection of contributions investigating the possibility and capability of urban gardeners to effectively tackling with spatial injustice; and it offers the readers a sound theoretically-grounded reflections on the topic. Building upon on-the-field experiences in European cities, it presents a wide range of engaged scholarly researches that investigate whether, how and to what extend urban gardening is able to contrast inequalities and disparities in living conditions.

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Books on the topic 'Spatial field'

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