ASSISTED RENTAL HOUSING UNITS IN FLORIDA - JULY 2013
Metadata also available as
Metadata:
- Identification_Information:
-
- Citation:
-
- Citation_Information:
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- Originator: University of Florida GeoPlan Center
- Publication_Date: 20130715
- Title: ASSISTED RENTAL HOUSING UNITS IN FLORIDA - JULY 2013
- Edition: ahi_super_2013_7_15_16_29.xls
- Geospatial_Data_Presentation_Form: vector digital data
- Publication_Information:
-
- Publication_Place: Gainesville, FL
- Publisher: University of Florida GeoPlan Center
- Other_Citation_Details: State of Florida
- Online_Linkage: <http://flhousingdata.shimberg.ufl.edu/a/ahi_super>
- Description:
-
- Abstract:
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This dataset contains 2013 Assisted Housing Inventory for the State of Florida compiled by the University of Florida's Shimberg Center. Assisted Rental Housing addresses were gathered from the Florida Housing Data Clearinghouse. The Assisted Housing Inventory (AHI) is a database of multifamily rental developments in the state of Florida that receive assistance under federal, state, and local government funding programs to offer affordable housing units. This dataset contains fields denoting the physical address and other selected attributes for assisted rental units located in Florida. This data is meant to be used for planning purposes only and is not intended to represent a 100% inventory of assisted rental housing. Assisted Housing locations that have been verified are marked with the letter V in the FLAG field. This layer is an update of the previously released FGDL "GC_ASSISTED_HOUSING_FEB09" layer.
- Purpose:
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The data was created to serve as base information for use in GIS
systems for a variety of planning and analytical purposes.
- Supplemental_Information:
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The Florida Housing Data Clearinghouse (FHDC) was founded in 2000 to
provide public access to data on Florida's housing needs and supply,
subsidized rental housing, and household demographics. Sources of the
data available from FHDC include the U.S. Census, other federal population
and housing surveys, the U.S. Department of Housing and Urban
Development, the U.S. Department of Agriculture Rural Housing Service,
Florida Housing Finance Corporation, local housing finance authorities,
Public Housing Agencies, the Florida Association of Realtors, the Florida
Department of Revenue, the Florida Agency of Workforce Innovation, and
the Bureau of Economic and Business Research at the University of Florida.
The responsibilities of the Clearinghouse include the following:
Creating a "warehouse" to store data for public use;
Providing a Web site allowing user-friendly access to all data collected;
Creating an inventory of federal, state, and locally subsidized housing.
Preparing an Affordable Housing Needs Assessment for local governments
to use in their comprehensive plans;
Compiling neighborhood-level affordable housing data;
Preparing an annual State of Florida's Housing report;
Preparing a statewide rental market study for the Florida Housing Finance
Corporation;
Collecting and sharing data on the housing needs of Florida's special needs
populations; and
Promoting standard formats for collection and sharing of local housing data.
The idea for FHDC originated with the state's Affordable Housing Study
Commission and was brought into being by a workgroup that included
representatives from local governments, regional entities, housing advocates,
the Florida Home Builders Association, the Florida Association of Realtors,
and state agencies.
The Florida Housing Data Clearinghouse is jointly funded by the Florida Housing
Finance Corporation (Florida Housing Trust Fund) and the Shimberg Center for
Housing Studies at the University of Florida, and managed by the Shimberg Center.
What is Geocoding?
Geocoding is term used to describe the act of address matching. Geocoding
is the process of finding a geographic location (x, y point) for an address
(such as street number and name, city, state, and ZIP Code) on a map.
Geocoding is based off the typical address scheme for the US, in which one
side of the street contains even house numbers while the other side of the
street contains odd house numbers.
The geocoding process uses an algorithm to find the geographic location
of addresses. First, a street segment is identified using the zip code and
street name. Next, the geographic location of the address is matched using
the building number to determine how far down the street and on which side
of the street the building is located.
Geocoding Accuracy
The locational accuracy of geocoded addresses may vary from urban to rural
areas due to the algorithm used to generate the geographic locations of
addresses. The algorithm assumes that the size of parcels are equivalent
along a road route. This assumption tends to be more consistent in urban
areas, where the size of parcels vary less than in rural areas.
Consequently, the results of geocoded addresses in urban areas are usually
more reliable than those in rural areas.
For example, the locational accuracy of rural addresses can be slightly
off because some parcels along a rural route may be 15 acres while others
may be 2.5 acres, but the geocoding algorithm assumes that the addresses
are distributed evenly along the route.
- Time_Period_of_Content:
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- Time_Period_Information:
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- Range_of_Dates/Times:
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- Beginning_Date: 2012
- Ending_Date: 20130715
- Currentness_Reference: publication date
- Status:
-
- Progress: Complete
- Maintenance_and_Update_Frequency: As needed
- Spatial_Domain:
-
- Bounding_Coordinates:
-
- West_Bounding_Coordinate: -87.429040
- East_Bounding_Coordinate: -79.872251
- North_Bounding_Coordinate: 30.983191
- South_Bounding_Coordinate: 24.492815
- Keywords:
-
- Theme:
-
- Theme_Keyword_Thesaurus: NONE
- Theme_Keyword: Rental
- Theme_Keyword: Housing
- Theme_Keyword: Affordable
- Theme_Keyword: Assisted
- Theme_Keyword: Multifamily Rental Developments
- Theme_Keyword: affordable housing units
- Theme_Keyword: AHI
- Theme_Keyword: Assisted Housing Inventory
- Theme_Keyword: government funding programs
- Theme:
-
- Theme_Keyword_Thesaurus: ISO 19115 Topic Category
- Theme_Keyword: society
- Place:
-
- Place_Keyword: Florida
- Temporal:
-
- Temporal_Keyword_Thesaurus: Year
- Temporal_Keyword: 2013
- Access_Constraints: NONE
- Use_Constraints:
-
The Shimberg Center for Housing Studies has compiled information
on housing and demographic information for the convenience of
consumers, policy makers, planners, program administrators and
other interested parties throughout Florida. The Shimberg Center
is committed to ensuring that the data in the Florida Housing Data
Clearinghouse are as accurate as possible, consistent with any
limitations on the inherent accuracy of the original data sources.
Although every effort has been made to ensure that information is
comprehensive and accurate, errors and omissions may exist. The
Clearinghouse and the information included therein is provided on
an "as is" basis. The Shimberg Center for Housing Studies, the
Florida Housing Data Clearinghouse, the University of Florida, or any
of their respective faculty, staff, or administration specifically disclaim
any warranty, either expressed or implied, including but not limited to
the implied warranties of merchantability and fitness for a particular
use. The entire risk as to quality and performance is with the user.
Persons who notice information that is incomplete, incorrect, or out
of date should contact the Shimberg Center at (800) 259-5705.
- Point_of_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: Florida Housing Data Clearinghouse (FHDC)
- Contact_Address:
-
- Address_Type: mailing address
- Address: 203 Rinker Hall, PO Box 115703
- City: Gainesville
- State_or_Province: Florida
- Postal_Code: 32611-5703
- Country: USA
- Contact_Voice_Telephone: (352) 273-1192
- Contact_Electronic_Mail_Address: fhdc-comments@shimberg.ufl.edu
- Contact_Instructions: <http://flhousingdata.shimberg.ufl.edu/index.html>
- Data_Set_Credit: The Shimberg Center
- Native_Data_Set_Environment:
-
Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4000
- Cross_Reference:
-
- Citation_Information:
-
- Other_Citation_Details:
-
Florida Housing Data Clearinghouse:
<http://flhousingdata.shimberg.ufl.edu/index.html>
Assisted Housing Inventory - SUPER: Geographic Areas
<http://flhousingdata.shimberg.ufl.edu/a/ahi_super>
Data Sources and Last Update Information for the Assisted Housing Inventory
<http://flhousingdata.shimberg.ufl.edu/docs/AHI_Sources_Last_Update_Chart.pdf>
AHI USER GUIDE 2010
<http://flhousingdata.shimberg.ufl.edu/AHI_User_Guide.html>
- Data_Quality_Information:
-
- Attribute_Accuracy:
-
- Attribute_Accuracy_Report:
-
GeoPlan relied on the integrity of the attribute information within
the original data.
- Logical_Consistency_Report:
-
This data is provided 'as is'. GeoPlan relied on the integrity
of the original data layer's topology
- Completeness_Report:
-
This data is provided 'as is' by GeoPlan and is complete to our
knowledge.
- Positional_Accuracy:
-
- Horizontal_Positional_Accuracy:
-
- Horizontal_Positional_Accuracy_Report:
-
This data is provided 'as is' and its horizontal positional accuracy
has not been verified by GeoPlan
- Vertical_Positional_Accuracy:
-
- Vertical_Positional_Accuracy_Report:
-
This data is provided 'as is' and its vertical positional accuracy
has not been verified by GeoPlan
- Lineage:
-
- Source_Information:
-
- Source_Scale_Denominator: Varies
- Type_of_Source_Media: online
- Source_Citation_Abbreviation: GeoPlan
- Source_Contribution: Spatial and Attribute Information
- Process_Step:
-
- Process_Description:
-
Assisted Housing Facility locations were obtained from the Florida Housing Data
Clearinghouse (FHDC) Website on July 15th, 2013.
Assisted Housing Inventory - SUPER: Geographic Areas
<http://flhousingdata.shimberg.ufl.edu/a/ahi_super>
ahi_super_2013_7_15_16_29.xls
GeoPlan downloaded this data in an excel format and converted it to a .csv
If a data field is not applicable for a property, this is indicated by a dash (-) in the data cell.
If a data field is applicable but the data are not available for a property,
this is indicated by the wording 'not avail.' in the data cell.
The data field records that were populated with a ( - ) were replace
by the statement NOT APPLICABLE
The data field records that were populated with an ( x ) were replaced
by the statement YES
The data field records that were blank were replaced
by the statement NO INFO
The .CSV file was then converted to .DBF
The dbf was then geocoded with the ArcGIS 10 built-in geocoder and converted
into a shapefile with the FGDL Albers HPGN map projection.
There were 2266 records downloaded with the original Excel spreadsheet.
Fields were renamed and/or truncated to fit within the limitations of the DBF
format.
During the GeoCoding process 2,242 of these records were matched.
Once the geocoding process was complete, each record was scrutinized using
aerials and parcel data. Records that were visually verified were moved to the
development's interior. Records for which no development could be visually
verified were not moved and are denoted with a "NV" in the flag field.
Of the 2,242 records that were successfully geocoded, 2159 were visually verified and moved.
Once each point was moved the following tasks were undertaken:
- All fields were uppercased
- Added and calculated the USNG1K field
- Added and calculated the LAT_DD field
- Added and calculated the LONG_DD field
- Added DESCRIPT based on NAME
- Added and calculated the UPDATE_DAY field
- Added FGDLAQDATE based on date downloaded from source
- Source_Used_Citation_Abbreviation: GeoPlan
- Process_Date: 20130715
- Spatial_Data_Organization_Information:
-
- Direct_Spatial_Reference_Method: Vector
- Point_and_Vector_Object_Information:
-
- SDTS_Terms_Description:
-
- SDTS_Point_and_Vector_Object_Type: Entity point
- Point_and_Vector_Object_Count: 2242
- Spatial_Reference_Information:
-
- Horizontal_Coordinate_System_Definition:
-
- Planar:
-
- Map_Projection:
-
- Map_Projection_Name: Albers Conical Equal Area
- Albers_Conical_Equal_Area:
-
- Standard_Parallel: 24.000000
- Standard_Parallel: 31.500000
- Longitude_of_Central_Meridian: -84.000000
- Latitude_of_Projection_Origin: 24.000000
- False_Easting: 400000.000000
- False_Northing: 0.000000
- Planar_Coordinate_Information:
-
- Planar_Coordinate_Encoding_Method: coordinate pair
- Coordinate_Representation:
-
- Abscissa_Resolution: 0.002048
- Ordinate_Resolution: 0.002048
- Planar_Distance_Units: meters
- Geodetic_Model:
-
- Horizontal_Datum_Name: D_North_American_1983_HARN
- Ellipsoid_Name: Geodetic Reference System 80
- Semi-major_Axis: 6378137.000000
- Denominator_of_Flattening_Ratio: 298.257222
- Vertical_Coordinate_System_Definition:
-
- Altitude_System_Definition:
-
- Altitude_Resolution: 1.000000
- Altitude_Encoding_Method:
-
Explicit elevation coordinate included with horizontal coordinates
- Entity_and_Attribute_Information:
-
- Detailed_Description:
-
- Entity_Type:
-
- Entity_Type_Label: GC_ASSISTED_HOUSING_JUL13
- Entity_Type_Definition: GC_ASSISTED_HOUSING_JUL13.DBF
- Entity_Type_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: OBJECTID
- Attribute_Definition: Internal feature number.
- Attribute_Definition_Source: ESRI
- Attribute_Domain_Values:
-
- Unrepresentable_Domain:
-
Sequential unique whole numbers that are automatically generated.
- Attribute:
-
- Attribute_Label: Shape
- Attribute_Definition: Feature geometry.
- Attribute_Definition_Source: ESRI
- Attribute_Domain_Values:
-
- Unrepresentable_Domain: Coordinates defining the features.
- Attribute:
-
- Attribute_Label: Status
- Attribute_Definition:
-
ESRI item which denotes the status of the geocoded address (whether it was matched or not). Only applicable to features which were gecoded.
- Attribute_Definition_Source: ESRI
- Attribute:
-
- Attribute_Label: Score
- Attribute_Definition:
-
ESRI item which denotes the score with which the address was matched to a feature in the reference data. Only applicable to features which were geocoded.
- Attribute_Definition_Source: ESRI
- Attribute:
-
- Attribute_Label: Match_addr
- Attribute_Definition:
-
ESRI item which denotes the full street layer address to which the address was matched. Only applicable to features which were grocoded.
- Attribute_Definition_Source: ESRI
- Attribute:
-
- Attribute_Label: Side
- Attribute_Definition:
-
ESRI item which denotes the side of the street to which the address was matched (for geocoding service styles that can match an address to a particular side of a street). Records marked with an "*" have not been GeoCoded, these records have another type of spatial reference source. Only applicable to features which were geocoded.
- Attribute_Definition_Source: ESRI
- Attribute:
-
- Attribute_Label: SHIM_ID
- Attribute_Definition: Shimberg Center ID
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NAME
- Attribute_Definition: The name of the development.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: ADDRESS
- Attribute_Definition: The physical street address of the assisted housing facility.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: CITY
- Attribute_Definition: The city in which the assisted housing facility is located.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: ZIPCODE
- Attribute_Definition: The five digit Zip code for the assisted housing facility.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: COUNTY
- Attribute_Definition:
-
The name of the county the assisted housing facility is located in.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: PHONE
- Attribute_Definition: The phone number of the assisted housing facility.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: T_UNITS
- Attribute_Definition: Total units in the development.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: A_UNITS
- Attribute_Definition: Total number of units with rent and/or income restrictions.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: OCCSTATUS
- Attribute_Definition: The occupancy status of the assisted housing facility.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: RDHUD_UNIT
- Attribute_Definition: USDA Rural development/HUD Rental Assistance Units
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NUM_0BED
- Attribute_Definition:
-
The number of units with 0 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NUM_1BED
- Attribute_Definition:
-
The number of units with 1 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NUM_2BED
- Attribute_Definition:
-
The number of units with 2 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NUM_3BED
- Attribute_Definition:
-
The number of units with 3 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: NUM_4BED
- Attribute_Definition:
-
The number of units with 4 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: INC_35
- Attribute_Definition:
-
Number of units for residents making less than or equal to 35% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: INC_40_50
- Attribute_Definition:
-
Number of units for residents making between 40 and 50% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: INC_55_60
- Attribute_Definition:
-
Number of units for residents making between 55 and 60% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: INC_65_80
- Attribute_Definition:
-
Number of units for residents making between 65 and 80% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: INC_80
- Attribute_Definition:
-
Number of units for residents making over 80% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: RD__FUND
- Attribute_Definition:
-
The number of units with assistance from USDA's Rural Rental Assistance program.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: HUD_FUND
- Attribute_Definition:
-
The number of units with assistance from HUD's rental assistance program.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: FHFC_FUND
- Attribute_Definition:
-
The number of units with assistance from Florida Housing Finance Corporation.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: LHFA_FUND
- Attribute_Definition:
-
The number of units with assistance from a Florida Association of Local Housing Authority.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: YR_BLT_FUD
- Attribute_Definition: Earliest Year Built/Year Funded.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: HOUSINGPRG
- Attribute_Definition: Housing Program(s) associated with the development
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: POP_SERVED
- Attribute_Definition: The type of family served by the assisted housing facility.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: OTYPE
- Attribute_Definition: Type of Ownership.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: ONAME
- Attribute_Definition: Owner Name.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: HUD_RA_EXP
- Attribute_Definition:
-
HUD Rental Assistance Expiration. Where a rental assistance contract has an expired date, it is common that it was actually renewed but not yet reported as such, due to a HUD reporting lag that can be up to eight months.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: GOVP_EXP
- Attribute_Definition:
-
Overall Expiration Date of Governing Program. If a property has one funding layer, this is the year that the subsidy or period of affordability expires or can be terminated by the owner. If a property has multiple funding layers, several assumptions were made to decide on the most restrictive funding program in terms of income and/or rent restrictions; the year of expiration of the subsidy or period of affordability of the presumed most restrictive funding layer is reported as the overall expiration date.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: REAC_SCR
- Attribute_Definition:
-
REAC Score. For HUD properties, these are the physical inspection scores as assigned by HUD's Real Estate Assessment Center (REAC), and the date that each score was released. Scores are posted from most recent to least recent available from HUD. A score of 60 and above is considered a passing score. The letter 'a' is given if there are no health and safety (H & S) deficiencies; 'b' if there are one or more non-life threatening H & S deficiencies; and 'c' if there are one or more life-threatening H & S deficiencies, also known as exigent or fire safety deficiencies. An asterisk indicates a smoke detector deficiency.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: RDATE
- Attribute_Definition:
-
Release Date. For HUD properties, these are the physical inspection scores as assigned by HUD's Real Estate Assessment Center (REAC), and the date that each score was released. Scores are posted from most recent to least recent available from HUD. A score of 60 and above is considered a passing score. The letter 'a' is given if there are no health and safety (H & S) deficiencies; 'b' if there are one or more non-life threatening H & S deficiencies; and 'c' if there are one or more life-threatening H & S deficiencies, also known as exigent or fire safety deficiencies. An asterisk indicates a smoke detector deficiency.
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: DSOURCE
- Attribute_Definition:
-
Data Source. Data Sources and Last Update Information for the Assisted Housing Inventory <http://flhousingdata.shimberg.ufl.edu/docs/AHI_Sources_Last_Update_Chart.pdf>
- Attribute_Definition_Source: FHDC
- Attribute:
-
- Attribute_Label: USNG_FL_1K
- Attribute_Definition:
-
Facility's 1-kilometer United States National Grid (USNG) address. The USNG is an alpha-numeric reference system based on the UTM coordinate system and is similar to the Military Grid Reference System. Use of the USNG ensures a uniform grid mapping and positional reporting system for search and rescue, emergency planning, response, and recovery.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: LAT_DD
- Attribute_Definition: Latitude in Decimal Degrees.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: LONG_DD
- Attribute_Definition: Longitude in Decimal Degrees.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: DESCRIPT
- Attribute_Definition: Based on NAME.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: FLAG
- Attribute_Definition:
-
Describes if the assisted housing location was visually verified or not.
- Attribute_Definition_Source: GeoPlan
- Attribute_Domain_Values:
-
- Enumerated_Domain:
-
- Enumerated_Domain_Value: V
- Enumerated_Domain_Value_Definition: Feature is visually verified.
- Enumerated_Domain:
-
- Enumerated_Domain_Value: NV
- Enumerated_Domain_Value_Definition: Feature is not visually verified.
- Attribute:
-
- Attribute_Label: UPDATE_DAY
- Attribute_Definition: The date the feature was updated.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: FGDLAQDATE
- Attribute_Definition: The date GeoPlan acquired the data from the source.
- Attribute_Definition_Source: GeoPlan
- Attribute:
-
- Attribute_Label: AUTOID
- Attribute_Definition: Unique ID added by GeoPlan
- Attribute_Definition_Source: GeoPlan
- Distribution_Information:
-
- Distributor:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: Florida Geographic Data Library (FGDL)
- Contact_Address:
-
- Address_Type: mailing address
- Address: 431 Architecture PO Box 115706
- City: Gainesville
- State_or_Province: Florida
- Postal_Code: 32611-5706
- Country: United States
- Contact_Electronic_Mail_Address: Web site: <http://www.fgdl.org>
- Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>
- Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>
- Contact_Electronic_Mail_Address:
-
FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>
- Contact_Electronic_Mail_Address: Mailing list for FGDL: <http://www.fgdl.org/fgdl-l.html>
- Resource_Description: DOWNLOADABLE DATA
- Distribution_Liability:
-
The Florida Geographic Data Library is a collection of Geospatial Data
compiled by the University of Florida GeoPlan Center with support from
the Florida Department of Transportation. GIS data available in FGDL is
collected from various state, federal, and other agencies (data sources)
who are data stewards, producers, or publishers. The data available in
FGDL may not be the most current version of the data offered by the
data source. University of Florida GeoPlan Center makes no guarantees
about the currentness of the data and suggests that data users check
with the data source to see if more recent versions of the data exist.
Furthermore, the GIS data available in the FGDL are provided 'as is'.
The University of Florida GeoPlan Center makes no warranties, guaranties
or representations as to the truth, accuracy or completeness of the data
provided by the data sources. The University of Florida GeoPlan Center
makes no representations or warranties about the quality or suitability
of the materials, either expressly or implied, including but not limited
to any implied warranties of merchantability, fitness for a particular
purpose, or non-infringement. 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>
- Standard_Order_Process:
-
- Digital_Form:
-
- Digital_Transfer_Information:
-
- Transfer_Size: 0.060
- Technical_Prerequisites:
-
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.
- Metadata_Reference_Information:
-
- Metadata_Date: 20130916
- Metadata_Contact:
-
- Contact_Information:
-
- Contact_Organization_Primary:
-
- Contact_Organization: University of Florida GeoPlan Center
- Contact_Address:
-
- Address_Type: mailing address
- Address: 131 Architecture PO Box 115706
- City: Gainesville
- State_or_Province: FL
- Postal_Code: 32611-5706
- Country: USA
- Contact_Electronic_Mail_Address: data@fgdl.org
- Contact_Instructions: www.fgdl.org
- Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
- Metadata_Standard_Version: FGDC-STD-001-1998
- Metadata_Time_Convention: local time
- Metadata_Extensions:
-
- Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
- Profile_Name: ESRI Metadata Profile
Generated by mp version 2.9.6 on Mon Sep 16 17:03:23 2013