If the real rate of crime is varying, that's something of interest to the user. The problem is that in a neighborhood with 1000 people, how am I to distinguish between a rate of 1 in 10,000 and 10 in 10,000? In a short…
Could you normalize at the census tract level? Better yet, assign average occupants, shoppers, cars parked, etc. to the locations at which the crime occurred. A bigger issue is variance in less dense areas. It looks…
It's more underhanded than nasty but you're absolutely right that this didn't mean what they portray and most people thought. Regardless of whether a given user moderated his data usage voluntarily, because he was…
We've had no luck with that approach and have tried multiple police departments to use their contacts. Unfortunately, it appears the standard answer is that what we're requesting is impossible. Since this should be…
If the real rate of crime is varying, that's something of interest to the user. The problem is that in a neighborhood with 1000 people, how am I to distinguish between a rate of 1 in 10,000 and 10 in 10,000? In a short…
Could you normalize at the census tract level? Better yet, assign average occupants, shoppers, cars parked, etc. to the locations at which the crime occurred. A bigger issue is variance in less dense areas. It looks…
It's more underhanded than nasty but you're absolutely right that this didn't mean what they portray and most people thought. Regardless of whether a given user moderated his data usage voluntarily, because he was…
We've had no luck with that approach and have tried multiple police departments to use their contacts. Unfortunately, it appears the standard answer is that what we're requesting is impossible. Since this should be…