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Книги з теми "Joint species distribution models"

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1

Guidolin, Massimo. An econometric model of nonlinear dynamics in the joint distribution of stock and bond returns. Federal Reserve Bank of St. Louis, 2005.

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2

Flood, Robert P. A model of the joint distribution of banking and exchange-rate crises. International Monetary Fund, Research Department, 2001.

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3

Bio, Ana M. F. Does vegetation suit our models?: Data and model assumption and the assessment of species distribution in space. Royal Dutch Geographical Society, 2000.

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4

Bio, Ana M. F. Does vegetation suit our models?: Data and model assumptions and the assessment of species distribution in space. The Royal Dutch Geographical Society, 2000.

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5

Peters, Matthew P. Integrating fine-scale soil data into species distribution models: Preparing soil survey geographic (SSURGO) data from multiple counties. U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2013.

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6

Borooah, Vani K. Was there a regional dimension to changes in income inequality in the UK over 1982-92?: An analysis based on a joint decomposition of income inequality by region and by employment status. [University of Cambridge, Department of Applied Economics], 1995.

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7

Bodenheimer, Peter. Numerical studies of collapsing interstellar clouds: NASA/Ames-University of California, Santa Cruz, Joint Research Interchange NAG 2-368 : final technical report, May 1, 1987. National Aeronautics and Space Administration, 1987.

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8

Kam-Pui, Lee, Gupta Roop N, and Langley Research Center, eds. Computer codes for the evaluation of thermodynamic properties, transport properties, and equilibrium constants of an 11-species air model. National Aeronautics and Space Administration, Langley Research Center, 1990.

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9

C, Bridger Alison F., Haberle Robert M, and United States. National Aeronautics and Space Administration., eds. Mars Global Surveyor: Aerobraking and observations support using a Mars global circulation model : a NASA Ames Research Center Joint Research Interchange, final report : university consortium agreement NCC2-5148; project duration, 25 July 1995-24 October 1997. National Aeronautics and Space Administration, 1997.

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10

C, Bridger Alison F., Haberle Robert M, and United States. National Aeronautics and Space Administration., eds. Mars Global Surveyor: Aerobraking and observations support using a Mars global circulation model : a NASA Ames Research Center Joint Research Interchange, final report : university consortium agreement NCC2-5148; project duration, 25 July 1995-24 October 1997. National Aeronautics and Space Administration, 1997.

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11

Ovaskainen, Otso. Joint Species Distribution Modelling. Cambridge University Press, 2020.

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12

Ovaskainen, Otso, and Nerea Abrego. Joint Species Distribution Modelling: With Applications in R. Cambridge University Press, 2020.

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13

Joint Species Distribution Modelling: With Applications in R. University of Cambridge ESOL Examinations, 2020.

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14

Hernandez, Pilar. Spatially explicit distribution models for predicting species occurrences. 2004.

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15

Hernandez, Pilar. Spatially explicit distribution models for predicting species occurrences. 2005.

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16

Craig, A., Alison Darren, Abbot Catherine, R. C. Venette, and Amy Christelle. Pest Risk Modelling and Mapping for Invasive Alien Species. CABI, 2015.

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17

Royle, J. Andrew, and Marc Kery. Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and Bugs - Prelude and Static Models. Elsevier Science & Technology Books, 2015.

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18

Numerical studies of collapsing interstellar clouds: NASA/Ames-University of California, Santa Cruz, Joint Research Interchange NAG 2-368 : final technical report, May 1, 1987. National Aeronautics and Space Administration, 1987.

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19

Royle, J. Andrew, and Marc Kery. Applied Hierarchical Modeling in Ecology : Analysis of Distribution, Abundance and Species Richness in R and BUGS Vol. 1 : Volume 1: Prelude and Static Models. Elsevier Science & Technology Books, 2015.

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20

Turner, Stephen. Knowledge Formations. Edited by Robert Frodeman. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198733522.013.2.

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Анотація:
Knowledge is socially distributed, and the distribution of knowledge is socially structured, but the distribution and the structures within which it is produced and reproduced—often two separate things—have varied enormously. Disciplines are one knowledge formation of special significance. They can be thought of as very old, or as a very recent phenomenon: In the very old sense, disciplines begin with the creation of rituals of certification and exclusion related to knowledge; in the more recent sense, they are the product of university organization, and especially that part of university orga
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21

Royle, J. Andrew, and Marc Kery. Applied Hierarchical Modeling in Ecology : Analysis of Distribution, Abundance and Species Richness in R and BUGS : Volume 2: Dynamic and Advanced Models. Elsevier Science & Technology, 2020.

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22

Royle, J. Andrew, and Marc Kery. Applied Hierarchical Modeling in Ecology : Analysis of Distribution, Abundance and Species Richness in R and BUGS : Volume 2: Dynamic and Advanced Models. Elsevier Science & Technology Books, 2020.

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23

Applied Hierarchical Modeling in Ecology : Analysis of Distribution, Abundance and Species Richness in R and BUGS : Volume 2: Dynamic and Advanced Models. Elsevier Science & Technology, 2020.

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24

Morelli, Federico, and Piotr Tryjanowski. Birds as Useful Indicators of High Nature Value Farmlands: Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems. Springer, 2017.

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25

Morelli, Federico, and Piotr Tryjanowski. Birds as Useful Indicators of High Nature Value Farmlands: Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems. Springer, 2018.

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26

Braby, Michael F. Butterflies of Australia. CSIRO Publishing, 2000. http://dx.doi.org/10.1071/9780643100770.

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Анотація:
This outstanding work is the ultimate guide for the identification of Australia’s butterflies. Nearly 400 species – all those currently recognised from Australia, plus those from surrounding islands – are represented, with all adults and some immature stages displayed in stunning colour sections. 
 Introductory chapters cover the history of publications, classification, morphology, distribution, conservation and collection, together with a checklist of the butterfly fauna. The body of the text is arranged systematically, providing a wealth of information including description, variation,
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27

Fitzpatrick, Matthew C., and Aaron M. Ellison. Estimating the exposure of carnivorous plants to rapid climatic change. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779841.003.0028.

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Анотація:
Climatic change likely will exacerbate current threats to carnivorous plants. However, estimating the severity of climatic change is challenged by the unique ecology of carnivorous plants, including habitat specialization, dispersal limitation, small ranges, and small population sizes. We discuss and apply methods for modeling species distributions to overcome these challenges and quantify the vulnerability of carnivorous plants to rapid climatic change. Results suggest that climatic change will reduce habitat suitability for most carnivorous plants. Models also project increases in habitat su
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28

Hopkins, William D., Cheryl D. Stimpson, and Chet C. Sherwood. Social cognition and brain organization in chimpanzees (Pan troglodytes) and bonobos (Pan paniscus). Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0014.

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Анотація:
Bonobos and chimpanzees are two closely relates species of the genus Pan, yet they exhibit marked differences in anatomy, behaviour and cognition. For this reason, comparative studies on social behaviour, cognition and brain organization between these two species provide important insights into evolutionary models of human origins. This chapter summarizes studies on socio-communicative competencies and social cognition in chimpanzees and bonobos from the authors’ laboratory in comparison to previous reports. Additionally, recent data on species differences and similarities in brain organizatio
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29

Krieger, Nancy. Ecosocial Theory, Embodied Truths, and the People's Health. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197510728.001.0001.

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Анотація:
This book employs the ecosocial theory of disease distribution to combine critical political and economic analysis with a deep engagement with biology, in societal, ecological, and historical context. It illuminates what embodying (in)justice entails and the embodied truths revealed by population patterns of health. Chapter 1 explains ecosocial theory and its focus on multilevel spatiotemporal processes of embodying (in)justice, across the lifecourse and historical generations, as shaped by the political economy and political ecology of the societies in which people live. The counter is to dom
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30

Tebaldi, Claudia, and Richard Smith. Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.19.

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This article focuses on techniques for eliciting expert judgement about complex uncertainties, and more specifically the habitat of the Australian brush-tailed rock-wallaby. Modelling wildlife habitat requirements is important for mapping the distribution of the rock-wallaby, a threatened species, and therefore informing conservation and management. The Bayesian statistical modelling framework provides a useful ‘bridge’, from purely expert-defined models, to statistical models allowing survey data and expert knowledge to be ‘viewed as complementary, rather than alternative or competing, inform
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31

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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Анотація:
The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a
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32

Dahiya, Surbhi. Indian Media Giants. Oxford University PressDelhi, 2021. http://dx.doi.org/10.1093/oso/9780190132620.001.0001.

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Анотація:
Abstract The establishment of mass media organizations in India is contemporaneous with that of its counterparts in the developed world. Indian Media Giants: Unveiling the Business Dynamics of Print Legacies is an analytical chronicle of six Indian mega media conglomerates' individual odyssey from their humble, incipient beginnings in the pre-independence era to their transformation into powerful business empires in the digitised world. The book traces Indian Media metamorphosis, the birth, phase-wise contours of growth and development, travails and trajectories, organizational structures, edi
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33

Multiphase Flow Internal Corrosion Direct Assessment (MP-ICDA) Methodology for Pipelines. AMPP, 2022. https://doi.org/10.5006/nace_sp0116-2022.

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Анотація:
Scope This standard practice outlines a methodology to assess pipeline integrity because of the threat internal corrosion in onshore and offshore pipelines and other piping systems that normally carry multiphase fluids (gas, water, and oil) termed multiphase flow internal corrosion direct assessment (MP-ICDA). Liquid separators (drips), compressing stations, vessels, and other equipment not related to pipelines are not included in this standard. This standard applies to pipelines, and piping systems both onshore and offshore, containing carbon dioxide (CO2), hydrogen sulfide (H2S), oxygen (O2)
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