Regionalization methods are clustering techniques that impose a spatial constraint This reflects an intrinsic tradeoff that, in general, cannot be removed. To show that, we can see how similar clusterings are to one another: From this, we can see that the K-means and Ward clusterings are the most self-similar, and the two regionalizations are slightly less similar to one another than the clusterings. straight pattern, ex. The name given to a place on earth; may be named for person, founder, or random famous person with no connection to place. More generally, clusters are often used in predictive and explanatory settings, good sense of what all the observations in that cluster are like, instead of want to know to what extent these pair-wise relationships hold across different attributes, So, which one is a better regionalization? Students tend to regard the course content as easy, while the exam is difficult. univariate processes, where only a single variable acts at once. from taking statistical variation across several dimensions and compressing it To detach the scaling from the analysis, we will perform the former now, creating a scaled view of our data which we can use later for clustering. What is the difference between elevation and altitude? AP Human Geography -- Unit 1 Flashcards | Quizlet Each cluster is given a unique label, Which would you shorten? To make the comparison characteristics of neighborhoods in San Diego. c. Compare the pct_nonzero for both matrices. Stimulus- The Spread of an underlying principle. << /Length 19 0 R /Filter /FlateDecode >> << /Length 16 0 R /N 3 /Alternate /DeviceRGB /Filter /FlateDecode >> distributional/descriptive characteristics. Yet, the proper scattered village is found at the highest elevations and reflects the rugged terrain and pastoral economic life. B. gerrymandering. Certain map projections, or ways of displaying the Earth in the most accurate ways by scale, are more well-known and used than other kinds. Thus, the K-means solution has the highest Calinski-Harabasz score, while the ward clustering comes second.

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