illegal border crossers and wildfires in az geoffrey krassy geog 594a prof todd bacastow
TRANSCRIPT
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Illegal Border Crossers andWildfires in AZ
Geoffrey KrassyGEOG 594A Prof Todd Bacastow
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The Question… Are the occurrence, rates and/or severity of
wildfires in southern Arizona affected by the frequency of smuggling operations which occur.
Soldier Basin fire seen from Nogalas Intl Airport, AZ (Images from KVOA.com)
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The problem of wildfires Illegal immigration and smuggling is an endemic
problem along the US-Mexico border. The flow of contraband (both human and other)
through the Tucson sector in Arizona varies dependent on numerous factors within the United States and Mexico.
The desert Southwest is also highly susceptible to brush and wildfires.
It has been shown that some of these fires have been deliberately set in order to draw attention away from another portion sector.
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Study area Red outline is the study area. It is the lower half
of the Office of Border Patrol’s Tucson Sector.
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Datasets Primary
CBP Apprehension Data Group size, location and time Aggregate by year (2009-2013) Clipped to study area Datum: WGS84
MODIS Thermal Anomalies & Fires Aggregate by year
Datum: NAD1983 Monitoring Trends in Burn Severity (MTBS), National MTBS Burned Area Boundaries Dataset
Datum: NAD 1983 Background
CBP Administrative Borders, V10 BaseMap – ESRI World Topo
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Software
Software Version Developer Website
ArcGIS 10.2 ESRI http://www.esri.com/software/arcgis
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Pre-processing: ArcGIS
Optimized Hot Spot Analysis
Set for 50% Transparency
Set Symbology GiBin for 3 ClassesRed indicates 95% + confidence that
the clustering is significant
ArcGIS
Repeat
for
each
data
-set
GoTo Visual Comparison
CBP Apprehension Data
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MODIS-Thermal Anomalies & Fire Overview
MTBS (Monitoring Trends in Burn Severity) Overview
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Apprehensions
Seems like a (mostly) random distribution. Need something to find the trends.
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Optimized Hot Spot Analysis “Given incident points, creates a map of statistically
significant hot and cold spots using the Getis-Ord Gi* statistic. It evaluates the characteristics of the input feature class to produce optimal results.” (ArcGIS 10.2 Help)
Analysis, in this case, is based on apprehended group size, in addition to geographic location.
It identifies the “non-random” elements.
Non-random implies a regular route.
Note: these are the groups apprehended, not necessarily the ones who started fires.
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Sample Results 2011
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A closer look…
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And closer….
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Conclusions
Visual correlation performed for every fire noted from 2009-20012
Every notable fire within 25 NM of the border was within 1 NM of an Apprehension HotSpot.
Considering that National Park Service claims 90% of wildfires are of human origin, and that the fire locations are functionally depopulated…
It is likely that most of the wildfires in southern Arizona are caused by illegal border crossers.
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Questions?