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  • Polar Bear, Polar Bear
    Polar Bear, Polar Bear


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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

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  • What is spatial visualization ability?

    Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.

  • Where do polar days and polar nights occur?

    Polar days and polar nights occur in the polar regions near the North and South Poles. During polar days, the sun does not set and remains visible for 24 hours a day, while during polar nights, the sun does not rise and the region remains in darkness for 24 hours a day. These phenomena are a result of the tilt of the Earth's axis and its orbit around the sun, causing extreme variations in daylight hours in the polar regions.

  • Why do polar substances dissolve in polar substances?

    Polar substances dissolve in polar substances because they have similar intermolecular forces. Polar substances, such as water, have a partial positive and partial negative charge, which allows them to form hydrogen bonds with other polar molecules. When a polar substance is added to a polar solvent, the partial charges on the solvent molecules attract and surround the solute molecules, causing them to separate and disperse evenly throughout the solvent. This allows the polar solute to dissolve in the polar solvent, forming a homogeneous mixture.

  • Where are the polar day and polar night?

    The polar day and polar night occur in the polar regions near the North and South Poles. During the polar day, the sun does not set and remains visible for 24 hours a day, while during the polar night, the sun does not rise and the region experiences 24 hours of darkness. These phenomena are a result of the tilt of the Earth's axis and its orbit around the sun, causing extreme variations in daylight hours in these regions.

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  • Crime Mapping and Spatial Data Analysis using R
    Crime Mapping and Spatial Data Analysis using R

    Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

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  • Mapping Society : The Spatial Dimensions of Social Cartography
    Mapping Society : The Spatial Dimensions of Social Cartography


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  • Polar Code
    Polar Code


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  • What is a polar day and polar night?

    A polar day is a period of 24 hours of continuous daylight that occurs in the polar regions during the summer months. This phenomenon happens because the Earth's axial tilt causes the sun to never fully set below the horizon at these latitudes during this time of year. On the other hand, a polar night is a period of 24 hours of continuous darkness that occurs in the polar regions during the winter months. This happens because the Earth's axial tilt causes the sun to never rise above the horizon at these latitudes during this time of year.

  • Where do polar day and polar night occur?

    Polar day and polar night occur in the polar regions, specifically within the Arctic and Antarctic Circles. During polar day, the sun remains above the horizon for a continuous 24 hours, resulting in 24 hours of daylight. Conversely, during polar night, the sun remains below the horizon for a continuous 24 hours, resulting in 24 hours of darkness. These phenomena are caused by the tilt of the Earth's axis and its orbit around the sun.

  • Is ethanol polar and hydrophilic or hydrophobic and polar?

    Ethanol is both polar and hydrophilic. The molecule contains a polar hydroxyl group (-OH), which makes it capable of forming hydrogen bonds with water molecules. This allows ethanol to dissolve in water and makes it hydrophilic. Additionally, the overall molecular structure of ethanol is polar due to the electronegativity difference between carbon and oxygen atoms, further contributing to its polarity.

  • When is the polar day and the polar night?

    The polar day occurs during the summer solstice in the polar regions, which is around June 21st in the Northern Hemisphere and December 21st in the Southern Hemisphere. During this time, the sun does not set for 24 hours, resulting in continuous daylight. Conversely, the polar night occurs during the winter solstice in the polar regions, which is around December 21st in the Northern Hemisphere and June 21st in the Southern Hemisphere. During this time, the sun does not rise for 24 hours, resulting in continuous darkness.

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