shrug-l: Been a while since I've done this...

Tue Nov 27 14:04:29 EST 2018

I see some great material for presentations at next year’s SHRUG GIS Workshop!!! Just saying. 

Tripp Corbin, MCP, GISP | Chief Executive Officer
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From: SHRUG-L <shrug-l-bounces at lists.dep.state.fl.us> On Behalf Of Christopher Smith
Sent: Tuesday, November 27, 2018 1:50 PM
To: 'Duane Treadon' <duanet at thomasville.org>; 'SHRUG-L at lists.dep.state.fl.us' <SHRUG-L at lists.dep.state.fl.us>
Subject: Re: shrug-l: Been a while since I've done this...

My approach for the street lighting would be to:

*	Determine the radius of light that would define lighted vs. non-lighted (ask the electric department how they calculate optimal light pole distribution).
*	Generate buffer polygons for the streetlight points based on that radius value.
*	Merge all of your buffers into one polygon layer.
*	Overlay crime data points (hopefully they’re not block level.)
*	Select points “Within” the buffer layer.
*	Do the math:

# Within + # Outside = Total Points

# Within/Total Points = % Within

# Outside/Total Points = % Outside

The difference in % Within vs. % Outside should imply a straight-forward factor in the presence of streetlights related to crime occurrences. However, this contains a lot of subjective factors and there is also a component as to what type of crime is being committed. DUI vs. Drug solicitation vs. Domestic Violence could result in a very different breakdown and have little or no correlation with street lights.

Housing: I would determine a threshold distance for dilapidated housing similarly to the lighting scenario. The Florida Housing Finance Corporation uses 10th mile radius values for favorability scoring with respect to walking distance. The threshold (highest favorability) is 0.20 Mi. or less so you might want to start with that. I would set up the analysis the same as above and buffer the footprints if you have them or parcels if you’re working in an area that has good lot-block uniformity.

For the fire calls: I’d generate heat maps for each point dataset and calculate the difference between the two rasters (where less difference would equal more correlation). There’ll probably be a lot parameter tweaking though.

I think the first two can be performed with just a basic ArcGIS license and then Spatial Analyst Difference tool for the last.

From: SHRUG-L <shrug-l-bounces at lists.dep.state.fl.us <mailto:shrug-l-bounces at lists.dep.state.fl.us> > On Behalf Of Duane Treadon
Sent: Tuesday, November 27, 2018 9:49 AM
To: 'SHRUG-L at lists.dep.state.fl.us' <SHRUG-L at lists.dep.state.fl.us <mailto:SHRUG-L at lists.dep.state.fl.us> >
Subject: shrug-l: Been a while since I've done this...

Hi all,

I need a little help shaking the cob webs out of my brain on how to set up an analysis process to look at correlation.  My Chief has asked me to look at crime and see if there is any relationship between it and dilapidated housing and also look at street lighting.  I am lucky in that I have access to all the data needed and it is easy to extract, geocode, and add to our geodatabase for use in ArcMap or ArcPro .  We have crime data for the past several years, our Building Dept. keeps a good record on housing conditions throughout the city, and the Electric Dept. has all street lights mapped out in our GIS already.  I have ArcAdvance and access to all the spatial analysis extensions and tools available as well as ArcPro and its tools/workflows.

What I need help on is deciding what tools to use and how to interpret the results.  My thought is to look at each element as it relates to crime.  Look at crime and dilapidated housing and how it falls on the map. Then crime and street lights in the same way.  Then bring it all together to see if there is a stronger pattern with all three elements.  

So what tools should I use?  Any publications or exercises out there that explain the processing of data to determine if there is a correlation.  Any pdfs you can share that explain the tools in ArcMap that I should use.  Are ESRI products not the way to go?  Is there an easier solution for looking at the data?   

p.s. as a follow up my Fire Chief would like me to look and see if there is an increase in fire calls that follows the crime.  

Thanks for any info you can provide. 

Duane 'JT' Treadon, GISP

Director of Geographic Information Systems | City of Thomasville | Information Technology

Office: (229) 227-4023 | Cell: (229) 221-5991 

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