Conflicting interpretation of K function on Chapter 11

Question

Conflicting interpretation of K function on Chapter 11

Closed this issue 4 years ago · 2 comments

Reading chapter 11 I noticed two conflicting interpretations of the value of K function vs K expectation.

In section 11.3.2.1, after figure 11.17:

K values greater than Kexpected indicate clustering of points at a given distance band; K values less than Kexpected indicate dispersion of points at a given distance band. In our example, the stores appear to be more clustered than expected at distances greater than 12 km.

In section 11.3.2.2, in figure 11.18 legend:

Figure 11.18: L-function (a simple transformation of the K-function). This graph makes it easier to compare K with Kexpected at lower distance values. It appears that Walmart locations are more clustered than expected under CSR/IRP up to a distance of 12 km but more dispersed at distances greater than 12 km.

Best regards.

Answer 1 · 2020-09-02T18:05:18.000Z

Thanks for catching the inconsistency in my statement. This issue was raised in a PR. Working on it now. Should be pushed to master sometime this week.
Cheers!

Answer 2 · 2020-09-02T19:01:51.000Z

Oops, I'm sorry, I checked to see if any issue had been raised on this point but I failed to check the pull requests. Thanks for the great material anyway!