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This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For;
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. The integration of GIS with eco-informatics will increase the visualization and analysis of the data collected and enhance the understanding;
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The Joy of Stats offers a reader-friendly introduction to applied statistics and quantitative analysis in the social sciences and public;
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The Joy of Stats offers a reader-friendly introduction to applied statistics and quantitative analysis in the social sciences and public;
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Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;
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enables readers to: appreciate the importance of statistical analysis in business, hospitality and tourism understand statistical;
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What can the Bible say about ecology? Eco Bible shows how the Bible and its great scholars embrace care for God's creation as a;
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How will patterns of human interaction with the earth's eco-system impact on biodiversity loss over the long term--not in the next ten or;
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How will patterns of human interaction with the earth's eco-system impact on biodiversity loss over the long term--not in the next ten or;
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series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;
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The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively;
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ecology. In this volume, Foster and Burkett expand on this analysis in the process of responding to recent eco-socialist criticisms of Marx.;
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graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modelling, and experienced;
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;
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This volume consists of analyses by experts from both the West and the East on the up-to-date development of Eco-socialism as a red-green;
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based on past data Perform statistical analysis on any platform: Windows, Mac, or iPad Access additional resources and practice templates;
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description and multivariate analysis in the context of vegetation data and plant ecology. Since the publication of the hugely popular first edition;
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with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from;
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wisdom by drawing on current quantitative data from two sources: questionnaire research on select NRMs and relevant national census data;
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analysis of the industrial ecology experience worldwide. Editors Pauline Deutz, Donald I. Lyons, and Jun Bi combine their diverse experiences;
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corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods;
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An invaluable guide for students and researchers working at the interface of evolution and ecology Scientists are increasingly realizing;
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-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series;
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-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series;
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