FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
VERSION 2007

TITLE: FLORIDA PROJECTED POPULATION GROWTH - 2060

Geodataset Name:       FL2060GROWTH
Geodataset Type:       SHAPEFILE
Geodataset Feature:    
Feature Count:         
GENERAL DESCRIPTION:
This dataset contains the results of land use suitability analysis performed by the GeoPlan Center for 1000 Friends of Florida. This dataset explores the physical reality of projected population growth through 2060 for the entire State of Florida given no changes to existing policy and density.
DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     N/A
DATE OF AUTOMATION OF SOURCE:      20060815
GEODATASET EXTENT:                 State of Florida

FEATURE ATTRIBUTE TABLES:

Datafile Name: Value Attribute Table
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
Rowid
4 OID ---
VALUE
4 Integer ---
COUNT
4 Integer ---

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
Rowid Internal feature number.

VALUE Numerical value describing the land cover.
2020 = Population Growth from 2005 - 2020

2040 = Population Growth from 2021 - 2040

2060 = Population Growth from 2021 - 2040


COUNT Number of cells corresponding to value.


USER NOTES:
This data is provided 'as is'. GeoPlan relied on the integrity 
of the original data layer's topology
The Florida 2060 population distribution scenario was 
developed using relatively straight forward geographic 
information systems (GIS) suitability analysis.  While the 
results of the population distribution scenario are not 
guaranteed, they do represent a viable snapshot of Florida 
in fifty years.  

This population distribution scenario was created using the 
Land Use Conflict Identification Strategy (LUCIS).  Through 
proximity and advanced statistical analysis of GIS datasets 
LUCIS identifies lands that are appropriate for future development, 
conservation and agricultural production.  The GIS datasets 
used during analysis originate from various sources.  GeoPlan 
and the creators of this dataset relied upon the various input 
dataset originator's completeness and accuracy.

Generation of the Florida 2060 population distribution 
scenario was based on a series of key assumptions.  
These assumptions are as follows:
1. The Bureau of Economic and Business Research (BEBR)
moderate population projection from 2005 to 2030 was used as
the basis for determining a trend line extending to 2060. At the time
this study was undertaken, BEBR's projections existed in five year 
increments up to 2030.  BEBR's middle population projection was 
used in the following way.  The average annual population change 
between 2000 and 2030 was calculated.  For each five year increment
following 2030, projected population was calculated by adding five 
times the average annual population increase to each preceding 
projected population.  For example, the BEBR middle range 2030 
population for Alachua County was 320,506.  The average annual 
change population increase between 2000 and 2030 was calculated 
to be 3,418.  Therefore the 2035 Alachua County population was 
projected to be: 
(5 [years] x 3,418 [average annual increase]) + 320,506 = 337,596
For the period 2005-2060 the regional starting population was determined 
to be 17,872,295 and the ending regional population was 
determined to be 35,814,574.  
2.  It was assumed the existing gross urban density of developed
lands in each county will remain the same as in 2005.  Gross urban
density was calculated by taking 2005 population and dividing it
by 2005 existing urban lands resulting in an expression of people
per urban acre for each county.  The 2005 gross urban densities
ranged from a high in Dade County of 15.45 people per acre
to a low in Gilchrist County of 0.45 people per acre.  The total
acres required to accommodate each county's additional 
population was determined based on the calculated 2005 
gross urban density.
3.  The lands to which the new population was distributed were
determined to be the most suitable using a set of eight criteria of which
proximity to existing urban areas, road density, and absence of wetlands
were most heavily weighted.
4. Existing urban lands were defined as all lands that support existing urban uses.
These include but are not limited to residential, office/commercial, retail, industrial,
roads, urban parks, utilities and utility corridors, golf courses, cemeteries and
airports. Vacant platted residential properties were also included in existing urban
lands for the counties and partial counties with tax parcel data. The rationale for
this assumption was: As new residential areas are developed in counties with
vacant residential parcels, there will continue to be a backlog of vacant residential
parcels always equal in area to the sum of existing vacant residential parcels.
5. Existing conservation lands were defined as all lands with a measure of permanent
protection (both fee simple and less than fee simple). These included areas under
federal and state ownership managed by public agencies including the National
Park Service, US Fish and Wildlife Service, USDA Forest Service and US
Department of Defense. They also included lands managed by state agencies
including the Department of Environmental Protection, Division of Forestry, Florida
Fish and Wildlife Conservation Commission and the water management districts.
A few private preserves owned and managed by non-governmental organizations
were included as were lands with conservation easements held by public agencies
and non-governmental organizations. The recently approved Babcock Ranch
acquisition was included in the mask because of its size and its strategic location
in Charlotte and Lee Counties.
6. Open water was defined as areas of the state that are covered by surface waters
the majority of the time. These include lakes greater than 10 acres, rivers,
streams, canals and major wetland systems.
7. An urban development mask was created so that only lands suitable for future
urban development could be considered. Existing urban lands, existing
conservation lands and open water were excluded. The Miccosukee Indian
Reservation lands in western Broward County were also excluded from
consideration for future urban development, because future land use on the
reservation is the decision of the tribal leaders and it would be in appropriate to
assume that future urban development will be allowed on those lands.
8. It was assumed the gross urban density of developed lands in each county will
remain the same as it is today. Gross urban density was calculated by taking 2005
population and dividing it by 2005 existing urban lands (defined above) resulting in
an expression of people per urban acre for each county. Appendix 2 of the
"Florida 2060: A population Distribution Scenario for the State of Florida" contains a
table of the calculated 2005 gross urban densities by county.
9. The projected populations for three different target dates, 2020, 2040, and 2060, were
distributed. To accomplish this, the acres needed to accommodate the new projected
population were calculated for each county based on its existing gross urban density.
Population was allocated to the most suitable lands equal in area to the acres needed
to accommodate the projected population. Once the new 2020 population was
distributed, the results were fed back into the determination of urban suitability for
2040, and subsequently the 2040 population distribution was fed back into the
determination of urban suitability for 2060.
10. Weights were assigned to each criterion used to determine overall urban
development suitability. Appendix 3 of the "Florida 2060: A Population
Distribution Scenario for the State of Florida" displays the rationale for 
each criterion and those weights. The weights were chosen based on 
the degree to which each criterion was assumed to contribute to the 
suitability of any given cell for future urban use.
11. The mapping units used for the 2020 target date were each of Florida s 67
counties. In 2040, however, a number of counties in the central Florida region did
not have sufficient land to accommodate the projected population at the assumed
development density. So, to allocate the 2040 population for those counties, it was
assumed the additional population would spill over into adjacent counties. This
happened to such a degree in central Florida that it was necessary to cluster
fourteen counties together for the 2040 population distribution. In 2060, these
same fourteen counties remained clustered and two more regional clusters proved
necessary, one in south Florida and one in northeast Florida.

In 2040 and 2060 for the clustered counties, population was allocated by first
calculating the additional acreage needed to accommodate the new population
for the target date for each county.  Then the acreage needed for all counties in
each cluster was totaled and the population was distributed beginning with
the lands most suitable for urban development in the regional cluster until the 
total regional acreage needed was reached.  For the counties that remained 
unclustered, the new population was allocated county by county as for all 
counties in 2020.

This dataset was developed using numerous inputs including, but not limited to,
existing conservation areas, major roads, and parcels.  A list of these inputs 
and their sources can be found in Appendix 4 of "Florida 2060: A Population
Distribution Scenario for the State of Florida".
GeoPlan relied on the integrity of the attribute information within
the original data.
Questions about this raster layer should be directed to Paul Zwick at the 
GeoPlan Center (pdzwick@ufl.edu).

This dataset explores the physical reality of the population growth from 
2005 to 2060 without changes to existing land use policy or gross urban 
density.  The land use suitability analysis displayed in this dataset was 
performed by the GeoPlan Center for 1000 Friends of Florida and is a 
companion study to "A Time for Leadership: Growth Management and 
Florida 2060" prepared for 1000 Friends of Florida by researchers at 
Georgia Tech's Center for Quality Growth and Regional Development.  
GeoPlan's project was undertaken using relatively straightforward geographic 
information systems (GIS) suitability analysis constructed on a foundation 
of clearly articulated assumptions.  The three key assumptions were: 
1) Population projections derived from the Bureau of Economic and 
Business Research (BEBR) moderate population projections and interpolation 
(used for calculating population beyond BEBR year projection horizon); 
2) 2005 gross urban density figures would remain the same through 2060; 
and 3) population would be allocated to the most suitable land for future 
urban development.

This data is provided 'as is' and its horizontal positional accuracy 
has not been verified by GeoPlan

This data is provided 'as is' and its vertical positional accuracy has 
not been verified by GeoPlan

THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED
AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL
NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING,
MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS.

A note about data scale: 

Scale is an important factor in data usage.  Certain scale datasets
are not suitable for some project, analysis, or modeling purposes.
Please be sure you are using the best available data. 

1:24000 scale datasets are recommended for projects that are at the
county level.
1:24000 data should NOT be used for high accuracy base mapping such
as property parcel boundaries.
1:100000 scale datasets are recommended for projects that are at the
multi-county or regional level.
1:125000 scale datasets are recommended for projects that are at the
regional or state level or larger.

Vector datasets with no defined scale or accuracy should be
considered suspect. Make sure you are familiar with your data
before using it for projects or analysis. Every effort has been
made to supply the user with data documentation. For additional
information, see the References section and the Data Source Contact
section of this documentation. For more information regarding
scale and accuracy, see our webpage at:
http://geoplan.ufl.edu/education.html

REFERENCES:
Florida 2060: A Population Distribution Scenario for the State of Florida
http://www.1000friendsofflorida.org/PUBS/2060/Florida-2060-Report-Final.pdf

Florida 2060: Florida Population and Developed Land Projected to Double Over Next 50 Years
http://www.1000friendsofflorida.org/planning/2060.asp

A Time for Leadership: Growth Management and Florida 2060
http://www.1000friendsofflorida.org/PUBS/2060/A-Time-for-Leadership-Report-Final.pdf

DATA LINEAGE SUMMARY:
The Florida 2060 population distribution scenario was developed 
using GIS suitability analysis.  The modeling unit used for this 
project was a 1 acre cell.  The majority of the modeling and analysis 
was completed using raster GIS.  

For the each scenario, GeoPlan performed the following 
aspects:
(1) The population was determined using BEBR medium population
projections.  
(2) A 2020 Urban Suitability Map was developed using a set of established goals
and objectives for each stakeholder (i.e. agriculture, conservation, and urban)
that defined what was to be accomplished (goal) and define how each 
accomplishment is to be achieved (supporting objectives).  The goals 
and objectives capture the evaluation criteria, which are evaluated using 
suitability models where shapefile and raster inputs represent land use 
characteristics  (For more detailed information on suitability modeling 
please refer to "Smart Land Use Analysis" by Margaret H. Carr and 
Paul D. Zwick.).  The objectives were combined to create a single 
raster for that goal.  The goals were then combined to create a single 
raster for the entire stakeholder.  
(3) Areas determined to be unsuitable for urban development were masked
out of the raster for each stakeholder.
(4) New population (2020-2005) was allocated beginning with areas of highest
urban suitability and ending with areas of lowest urban suitability, based
on 2005 urban density in people/acre.
(5) Using results of 2020 population allocation, create 2040 Urban Suitability
Surface and repeat all steps.  Repeat again for 2060.
(6) Individual grids for 2020, 2040, and 2060 population allocations
were mosaiced and the raster FL2060GROWTH was created.

Questions concerning the projected populations and densities 
should be directed to Paul Zwick of the GeoPlan Center (pdzwick@ufl.edu)
Process Date: 2006

MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:
University of Florida GeoPlan Center
GeoPlan
431 Architecture PO Box 115706
Gainesville, Florida
32611


www.geoplan.ufl.edu/lucis pdzwick@ufl.edu Paul Zwick

FGDL CONTACT:
Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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