Dr. Frank Gossette
Together with Ms. Maribel Enriquez and Mr. James A. Woods,
Dr. Gossette presented:
"Long Beach, California: America's most diverse city?," to the Association
Geographers, Denver, April 2005
Following the release of Census 2000 figures on race and ethnicity, USA Today
declared Long Beach, California to be the "most diverse city in the country."
This assessment was based on comparisons using the papers own Diversity Index,
which like the more familiar entropy measures, measures the evenness of
representation of Americas major race/ethnicity groups within the enumeration
area -- in this case the entire city population. And while the same indexes
can be calculated and mapped for smaller areal components (census tracts for
example) to show the pattern of differing levels of evenness within urban
areas, the results do not adequately measure the spatiality of diversity
itself. This paper examines a variety of truly geographic approaches to the
measurement and visualization of population diversity.
Together with Mr. James A. Woods, Dr. Gossette presented:
"Wildfire Hazard in Southern California," to the Association of American
Geographers, Los Angeles, March 2002.
Wildfires in the woodland and chaparral areas of Southern
California continue to be a major threat to people and property. As
encroachment into this wildland urban interface continues, there is
a need to identify high fire hazard zones. As part of an ongoing
program to map the perimeters of wildfires in Los Angeles County
since the early 1900's, this study develops methods to visualize
and assess fire hazard by integrating maps, imagery, and
demographic data from the 2000 Census. Using geographic
information systems technology, different models of assessing
hazard will be examined and evaluated.
Dr. Gossette also presented:
"Geography of the Last Moment" to the Association of American
Geographers, New York, late February-early March, 2001.
This paper will be written on the plane on the back of United drink
napkins. Graphics, maps and overheads will be scratched out the morning
before on hotel stationery and rushed to Kinko's to be put on plastic which
will still be warm by presentation time. The paper will be presented by
either Dr. Gossette or any graduate student still standing and sober enough
to make out the chicken scratchings. This paper will be part of the
prestigious William Bunge Outstanding Last Minute Paper Competition held
each year in each presentation room of the AAG.
Keywords: Last Minute, Napkins, Kinko's
Actually, it turned out that he really did present a paper with Dr.
Ronnie Gossette Wade of Stanford University (and the abstract has recently
been declassified <G>:
"Using GIS to Model At-risk Populations for Emergency Planning and Response,"
to the Association of American Geographers, New York, March 2001.
During an emergency, estimating the numbers and location of persons at risk is
extremely important. But such factors as day of the week and time of day can
alter the geography of the at-risk population and make setting priorities very
difficult. Geographic Information Systems (GIS) can be used to model the
likely distribution of population during various time periods and relating
that pattern to the location(s) affected by the emergency. This paper will
explore the data requirements and GIS functionality necessary to produce
population distribution estimates and suggest ways of validating and improving
the models (with Roni Wade, Stanford University).
Dr. Gossette presented:
"Study and Teaching abroad as Part of the Liberal Arts Experience," to the
College of Liberal Arts Retreat, CSULB, 9 February 2000.
Together with graduate student, Mr. Michael Jenkins, Dr.
"Visualizing Flood Hazard with GIS," to the Association of American
Geographers, Pittsburgh, April 2000.
The potential for flood risk in the local community was estimated using data
from various sources and different scales. Macro-model flood zone maps
produced by FEMA were related to detailed aerial-survey elevations for every
residential structure in the City. The resulting parcel-level flood hazard
estimates were used by individual homeowners in obtaining appropriate flood
insurance. Analyzing these data at different scales and producing visual
displays that were comprehensible to the general public was a challenge. This
paper looks at the use of GIS to solve these modeling and visualization
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Last revised: 04/28/05