By Dave White
Ohn Brighton is a normal younger schoolteacher nonetheless hung up on his ex, Michelle. Suspecting her new boyfriend is dishonest on her, John makes a decision to stick to Frank's Lexus and discover the reality as soon as and for all. seems John's in for an immense shock. Frank isn't heading for a few sack time with one other lady. in its place he drags John into the center of a shootout at the banks of the Hudson River, and ahead of John understands what's occurring, he's knee-deep in bodies.
Before the corpses can also cool, Frank disappears and John unearths himself sought after for 5 murders. without approach to end up his innocence, John is going at the run—not simply from the police, yet a vicious murderer in addition. And while Michelle is abducted, John’s worst-case state of affairs comes precise. notwithstanding his head tells him to stick in hiding, his middle says in a different way. He has to save lots of the lady he loves or die trying.
As John starts off to discover the reality surrounding the occasions that experience grew to become his lifestyles the other way up, he learns it isn’t simply Michelle he needs to rescue. hundreds of thousands of alternative blameless lives are in jeopardy too.
A heart-pounding, heart-stopping, heart-breaking mystery from two-time Shamus Award nominated writer, Dave White.
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Additional resources for Witness to Death
40 L. H. Ratcliffe Fig. 2 Statistical Significance The second consideration with the Nnh analysis concerns how to determine statistical significance of the clusters. The test to determine whether two points are clustered by chance is traditionally the confidence interval around the random nearest neighbor distance. 05 then one could expect that 5% of all point pairs are grouped by chance. However, Nnh groups more than just two points within a cluster, depending on the minimum number of points set by the user.
This suggests that clusters revealed by setting the minimum number of points to ten are robust clusters of drug sales activity. Therefore, the appropriate minimum number of points (for the Philadelphia data at least) is any option of at least ten points, noting that there is an inverse relationship between the minimum number of points and the number of first-order clusters that will be identified. Returning to the issue of validity, we investigated whether census features or clusters from the Nnh analysis produce a more valid measure of drug markets.
This is demonstrated in part (c) of Fig. 3. One issue to consider at this stage is shown by the arrow in Fig. 3c. The arrow indicates a crime event that is very close to the drug market area but which is just outside the formal spatial polygon. Therefore for both purposes of visual clarity, and to avoid any potential ambiguities, the final combined first- and second-order polygon areas have had a small buffer applied. This process allows the drug market area to retain all of the original first-order events that clustered to create the crime hotspot area in the first place, as well as any points right on the edge of the drug market area.