16th: "Visual beauty: Information visualization method and Case Analysis"

16th: "Visual beauty: Information visualization method and Case Analysis"

It took about 6 hours to read and write notes. "Visual Beauty" is expediency Brother's QQ found, see a bunch of super-super complex graphics, immediately hands-on from Amazon bought down. The first day, it is really a lot, very complex network diagram, if not art design, I do not know what the book is used, but the next day began to read carefully, found that the first three chapters are still quite material, starting from the tree model, the transition to the network model, and then carefully analyzed the network model, the fourth to fifth Six chapters can be said to be Network Diagram appreciation, the seventh chapter is 4 papers.

The first chapter of the Tree of Life

The tree-like model is the source of the contemporary Network diagram. Ancient trees endowed the sacred meaning, the tree's roots wind down into the soil, the branches stretch upward embrace the sky, this image embodies the heaven, the world and the three realms of Hell connection. In the book from the godly to the Bodhi tree, and then to the tree of wisdom, the Trees of Truth (see), the nature of the common tree, did not think so sacred.

The tree structure is divided into two main types, one is genealogy (genealogy), which is used to trace the origins of ideas, concepts, races and societies, and the other is hierarchical, a systematic taxonomy used to differentiate between primary and secondary values. From the tree of Philip to the book of images, to the tree of science, to the knowledge tree, to the encyclopedia. People have been trying to classify all of the world's knowledge in a tree-like structure, and it's no wonder that the tree in the data structure is a very important chapter. Chapter II from tree to meshThe most prominent feature of the tree chart is the centralized, top-down hierarchical concept. The opponents believe that centralization means centralized, totalitarian----these are typical repressive forms of hierarchical domination. A very bull. A paper is the "Science and Complexity" written by American scientist Warren Weaver, which divides the history of modern science into three stages: the simple problem stage in the 17-19 century, the disordered and complicated problem in the first half of the 20th century and the orderly and complicated problem after the middle of 20th century. The world we are now in is a complex system with rich variables, and these variables are highly correlated and interdependent. And this structure is characterized by a mesh structure. The following sections see networked thinking from urban planning, neurology, the Internet, social collaboration, information classification, and species classification. 1. It is not feasible for urban planning to completely isolate the various working areas. In all ordered systems, the complete isolation and fragmentation of internal elements is a precursor to the impending collapse of the system. 2. Neurology previously believed that there were four regions of the brain and a central processing unit, and now it is found to be a complex network of 100 billion neurons, each surrounded by thousands of dendrites and axons. 3, the Internet Apache Network is the predecessor of the Internet, the use of distributed network structure, showing its strong vitality. In June 1993, there were only 130 sites, and now there are more than 200 million sites. Some indications are that the contemporary Internet is moving in a "neurotic" direction. In addition to this information security concern, the biggest challenge for this system superstar is interoperability----that is, how to build common standards and formats that enable people to apply different data resources in a compatible way. (No wonder the digital oilfield Forum warmly talks about self-standards?) You can find some traces from this book! 4, social collaboration starfish mode (the Starfish and Spider) This decentralized social structure, no authoritarian leadership, no clear hierarchy, can also overcome the tree system! And this structure is being used by terrorist organizations. See here to check the Craigslist, found that this "autonomous" type of classified ads although very boring, but it is said to be very popular in the United States, very practical, but also has its vitality. Dutch Professor Geert Lovink said that "the core of the internet lies in its social structure." The core composition of the Internet is not the process of storage and retrieval, but the dynamic interaction of human beings. " 5. Classification of information Here's the Dewey Decimal Book classification in archival science, and then talk about the popular classification (also known as social classification, social tagging) used by Del.icio.us and other websites that are now emerging. This bottom-up classification creatively breaks Dewey's top-down classification structure. Some people have this analogy: the traditional classification of knowledge to plant a permanent knowledge tree, and the mass classification of the knowledge in a unique and flexible way in the sea of information sprinkled "piles of leaves." 6, the natural order of the previous evolutionary tree, is now establishing a new set of biological pedigree nomenclature, from the life of the tree model to the life of the network model.   Chapter Three analyzes the network model this chapter from the Seven Bridge Problem introduction graph theory, then to the psychological map, can be regarded as the embryonic form of social network diagram. The following is the focus: 8 principles for making a Network diagram: 1. The most important step in understanding data from a question is asking the right questions----what problem do you want to solve? If you don't know why you're collecting data, the behavior of collecting data is only known as "hoarding" data. 2. A core task of finding relevance visualization is to reveal relevance in the simplest way. 3, to achieve multi-factor analysis causal relationship analysis, initially may only have two variables, but in order to explain in detailWhen the relationship is established, more variables emerge. Perhaps in the end, the causal relationship found may only be an indirect effect, or only a market variable. 4, considering time (dimension) network Diagram will change with time, the expression of time concept in the network, this is both a technical problem, but also a conceptual problem. Adding a Time dimension can be 10 times times more difficult, but it cannot be bypassed because it is difficult. 5, rich vocabulary nodes and lines can also try more visual properties: Color, shape, size, direction, material, hue and location. 6, the so-called grouping, is to classify the same kind of information into a larger category, strengthen the relevance, reduce complexity, improve the recognition degree. can be in alphabetical order, chronological order, by bearing order, by a specific scale, or by a specific classification (image, video, and text). 7, enlarge the proportion to find out the mode from the macroscopic angle of view, find the connection between nodes from the angle of view, and suggest the characteristic of individual node from microscopic angle. 8, management details SHIKFA (Hack's Law): 1) Adaptive scaling: This is the general technique of contemporary map making, similar to the "progressive rendering" 2) global plus details, which is also a small box next to the macro view, also known as Eagle Eye or aerial view. 3) Focus on the background, the focus point of view (that is, the user's attention points) occupy the main position, while the other secondary nodes and connections back to the background. The 9th principle is to synthesize the first 8 articles, which are not limited by them. IV shows a bunch of network diagrams that seem to have become an art creation. Can our oilfield information visualization also become an art creation? Is it possible that our programmers will join the ranks of artists? The seventh chapter looks forward to 4 papers in the future.  

16th: "Visual beauty: Information visualization method and Case Analysis"