In the summer of 2005, distinguished geographer Yi-Fu Tuan ventured to China to speak at an international architectural conference, returning for the first time to the place he had left as a child sixty-four years before. He traveled from Beijing to Shanghai, addressing college audiences, floating down the Yangtze River on a riverboat, and visiting his former home in Chongqing...(展开全部)

段义孚是享誉世界的美国华裔人文主义地理学大师，在地理学理论、园林建筑、文学、宗教等研究领域都作出过举世瞩目的贡献。他关注人的问题，注重人性、人情，其思想见解发人深省，因而被公认为“拥有超然灵魂之正义之声”。他著作颇丰，代表作品有：《恋地情结：对环境感知、态度和价值观的研究》(Topophilia：A Studh of Environmental Perception，Attitudes ,and Values)、《经验透视中的空间与地方》(Spoce and Plac:The Perspective ofExPerience)、《撕裂的世界与自我：群体生活和个体意识》(Segmented Worlds and self:Group Life andIndividual COILSciousness)、《逃避主义》(Escapism)等等。 他一生荣获...(展开全部)

段义孚是享誉世界的美国华裔人文主义地理学大师，在地理学理论、园林建筑、文学、宗教等研究领域都作出过举世瞩目的贡献。他关注人的问题，注重人性、人情，其思想见解发人深省，因而被公认为“拥有超然灵魂之正义之声”。他著作颇丰，代表作品有：《恋地情结：对环境感知、态度和价值观的研究》(Topophilia：A Studh of Environmental Perception，Attitudes ,and Values)、《经验透视中的空间与地方》(Spoce and Plac:The Perspective ofExPerience)、《撕裂的世界与自我：群体生活和个体意识》(Segmented Worlds and self:Group Life andIndividual COILSciousness)、《逃避主义》(Escapism)等等。 他一生荣获...(展开全部)

In the summer of 2005, distinguished geographer Yi-Fu Tuan ventured to China to speak at an international architectural conference, returning for the first time to the place he had left as a child sixty-four years before. He traveled from Beijing to Shanghai, addressing college audiences, floating down the Yangtze River on a riverboat, and visiting his former home in Chongqing...(展开全部)

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Heat Maps in R: How-to is an easy to understand book that starts with a simple heat map and takes you all the way through to advanced heat maps with graphics and data manipulation.Heat Maps in R: How-to is the book for you if you want to make use of this free and open source software to get the most out of your data analysis. You need to have at least some experience in using R and know how to run basic scripts from the command line. However, knowledge of other statistical scripting languages such as Octave, S-Plus, or MATLAB will suffice to follow along with the recipes. You need not be from a statistics background.

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Heat Maps in R: How-to is an easy to understand book that starts with a simple heat map and takes you all the way through to advanced heat maps with graphics and data manipulation.Heat Maps in R: How-to is the book for you if you want to make use of this free and open source software to get the most out of your data analysis. You need to have at least some experience in using R and know how to run basic scripts from the command line. However, knowledge of other statistical scripting languages such as Octave, S-Plus, or MATLAB will suffice to follow along with the recipes. You need not be from a statistics background.

R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like ...(展开全部)

This stunningly beautiful picture book from New York Times bestselling author-illustrator Eliza Wheeler is based on her grandmother's childhood and pays homage to a family's fortitude as they discover the meaning of home. Eliza Wheeler's gorgeously illustrated book tells the story of what happens when six-year-old Marvel, her seven siblings, and their mom must start all over ag...(展开全部)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, a...(展开全部)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, a...(展开全部)