FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION TITLE: CULTURAL CENTERS IN FLORIDA - 2011 Geodataset Name: GC_CULTURECENTER_AUG11 Geodataset Type: SHAPEFILE Geodataset Feature: Point Feature Count: 2140 |
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GENERAL DESCRIPTION:
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DATA SOURCE(S): University of Florida GeoPlan Center SCALE OF ORIGINAL SOURCE MAPS: N/A GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_CULTURECENTER_AUG11.DBF
ITEM NAME | WIDTH | TYPE |
OBJECTID
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4 | OID |
Shape
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4 | Geometry |
Status
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1 | String |
Score
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2 | SmallInteger |
Match_type
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2 | String |
Side
|
1 | String |
Match_addr
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103 | String |
NAME
|
100 | String |
ADDRESS
|
65 | String |
CITY
|
40 | String |
ZIPCODE
|
9 | String |
PHONE
|
20 | String |
COUNTY
|
25 | String |
WEBSITE
|
100 | String |
TYPE
|
40 | String |
OPERATING
|
80 | String |
OP_CLASS
|
30 | String |
HOURS
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40 | String |
YR_BUILT
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4 | Integer |
COMMON_USE
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4 | String |
USE
|
50 | String |
LAT_DD
|
8 | Double |
LONG_DD
|
8 | Double |
USNG_FL_1K
|
10 | String |
SOURCE
|
100 | String |
DESCRIPT
|
38 | String |
FLAG
|
5 | String |
UPDATE_DAY
|
36 | Date |
FGDLAQDATE
|
36 | Date |
AUTOID
|
4 | Integer |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
OBJECTID |
Internal feature number. |
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Shape |
Feature geometry. |
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Status |
ESRI item which denotes the status of the geocoded address (whether it was matched or not)
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Score |
ESRI item which denotes the score with which the address was matched to a feature in the reference data. |
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Match_type |
ESRI item which donates a code showing how an address was matched.
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Side |
ESRI item which donates the side of the street to which an address was matched, if the address locator that was used to match the table contains address information for both sides of the street. This attribute has values of "L" for the left side of the street, "R" for the right side of the street, or nothing if the address locator could not determine the side of the street. |
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Match_addr |
ESRI item which donates the address that the matched location actually resides based on the information of the matched candidate. For example, an input address "123 Main St N" is matched to a candidate with the suffix direction "NW" and all other components matched correctly. The Match_addr field will contain "123 Main St NW" as the actual address that was matched. |
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NAME |
The name of the cultural center. |
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ADDRESS |
A description of a facility's physical location providing direction for delivery and provision of emergency services. |
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CITY |
City of facility's physical location. |
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ZIPCODE |
US postal delivery designation of facility's physical location. |
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PHONE |
The phone number of the cultural center. |
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COUNTY |
County of facility's physical location. |
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WEBSITE |
Website of the cultural center. |
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TYPE |
Category of cultural center. |
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OPERATING |
The responsible organization for management and operation of a facility (e.g., public, private, quasi-public). |
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OP_CLASS |
Classification of the operating entity. |
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HOURS |
The hours in which a facility conducts business or, otherwise, is open to the public. |
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YR_BUILT |
The year a structure was built for determining possible historical significance |
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COMMON_USE |
Location of two or more uses in one facility or on common grounds so as to share common facilities. |
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USE |
Description of co-located use, if applicable. |
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LAT_DD |
Latitude in Decimal Degrees. |
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LONG_DD |
Longitude in Decimal Degrees. |
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USNG_FL_1K |
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. |
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SOURCE |
Source of the tabular information. |
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DESCRIPT |
Based on TYPE. |
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FLAG |
This field is reserved for post FGDL field verification purposes. A blank value in this field indicates that verification edits have not taken place. Users that edit the location and/or attribute of a record are asked to mark this field with one of the following values:
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UPDATE_DAY |
The last day the file was updated. |
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FGDLAQDATE |
The date GeoPlan acquired the data from the Source. |
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AUTOID |
Unique ID added by GeoPlan |
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology |
This data is provided 'as is' by GeoPlan and is complete to our knowledge. |
GeoPlan relied on the integrity of the attribute information within the original data. |
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. |
The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes. |
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 |
NONE |
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 |
Art-Collecting.com: http://art-collecting.com/galleries.htm Association of Zoos & Aquariums: http://www.aza.org/ Florahome USA: http://florahomeusa.blogs Florida Artists Registry: http://www.floridaartistsregistry.com/ Florida Association of Museums: http://www.flamuseums.org/ Florida Department of State - Department of Library and Information Services: http://dlis.dos.state.fl.us/ USA Zoos: http://www.officialusa.com/stateguides/zoos/ Yellowbook: http://www.yellowbook.com/yellowpages/?where=deland%2c+fl |
GeoPlan acquired the tabular data from multiple sources before geocoding. The following steps describe the process for each source. -Sources for Aquariums and Zoological centers: 1) Association of Zoos & Aquariums GeoPlan gathered information for zoos and aquariums listed at http://www.aza.org/findzooaquarium/ during the month of August. The appropriate information for each zoo or aquarium was extracted and placed in the proper format for geocoding. In total 15 unique records were extracted and all were able to be matched during the geocoding process. 2) GeoPlan gathered information for zoos and aquariums listed at http://www.officialusa.com/stateguides/zoos/florida.html during the month of August. Each website listed (if available) was visited and the appropriate information was extracted and placed in the proper format for geocoding. In total 30 unique records were extracted and all were matched during the geocoding process. -Sources for Arboretums & Botanical Gardens: 1) Florida Association of Museums GeoPlan gathered information for Arboretums & Botanical Gardens listed at http://www.flamuseums.org/museums/ during the month of August. The categories Arboretum and Botanical Garden were searched. The appropriate information for each facility was extracted and placed in the proper format for geocoding. In total 24 unique records were extracted and all were able to be matched during the geocoding process -Sources for Libraries: 1)GeoPlan obtained library information from the Florida Department of State Division of Library and Information Services' library database at http://www.fllibraries.org/. The database was downloaded in Excel format on August 11, 2011. The appropriate information was extracted and placed in the proper format for geocoding. There were 1208 records in the original database and 1136 were able to be matched during the geocoding process. -Sources for Motion Picture Theaters 1) Yellowbook.com GeoPlan obtained information for motion picture theaters at http://www.yellowbook.com/yellowpages/?where=florida during August 2011. The term "Movie Theater" was searched for all locations in Florida. The appropriate information was extracted and placed in the proper format for geocoding. There were 374 unique records extracted and 359 were able to be matched during the geocoding process. -Sources for Museums and Art Galleries: 1) Art-Collecting.Com GeoPlan gathered information for art galleries listed at http://art-collecting.com/galleries_fl.htm during the month of August. Each website listed (if available) was visited and the appropriate information was extracted and placed in the proper format for geocoding. In total 191 unique records were extracted and all were matched during the geocoding process. 2) Florida Artists Registry.com GeoPlan gathered information for art galleries listed at http://artistsregistry.com/catalog/galleries.php?a_sort=&st=FL&ct=USduring the month of August. The appropriate information was extracted and placed in the proper format for geocoding. In total 43 unique records were extracted and 41 were matched during the geocoding process. 3) Florida Association of Museums GeoPlan gathered information for museums listed at http://www.flamuseums.org/museums/ during the month of August. Each museum type category was searched with the exception of Planetariums, Arboretums, and Botanical Gardens. The appropriate information for each museum was extracted and placed in the proper format for geocoding. In total 377 unique records were extracted and 373 were able to be matched during the geocoding process. -Sources for Planetariums 1)Florida Association of Museums GeoPlan gathered information for planetariums listed at http://www.flamuseums.org/museums/ during the month of August. The category Planetarium was searched. The appropriate information for each facility was extracted and placed in the proper format for geocoding. In total 8 unique records were extracted and all were able to be matched during the geocoding process - Sources for Theaters and Performing Arts Centers 1)Florahome USA GeoPlan gathered information for theaters and performing arts center listed at http://florahomeusa.blogspot.com/2011/03/theatres-and-performing-art-centers-in.html during the month of August 2011. The appropriate information for each theater and performing arts center was extracted and placed in the proper format for geocoding. In total 108 unique records were extracted and all were able to be matched during the geocoding process. All records were standardized, any remaining duplicates were removed and converted to a general database file (.dbf). The dbf was then geocoded against a statewide 2010 NAVTEQ street dataset and converted into a shapefile with the FGDL Albers HPGN map projection. (See "Map Projection Parameters" below). After geocoding the following steps were applied. - Unmatched locations or locations receiving a score below 80 were reevaluated using Google Maps. Locations' addresses that were successfully located were modified to reflect the correct address using the geocode rematch tool in ArcGIS. - 90 records were unable to be matched and removed from the database. - Added and calculated the COUNTY, TYPE, OP_CLASS, USNG_FL_1K, LONG_DD, and, LAT_DD fields. - Added the OPERATING, HOURS, YR_BUILT, COMMON_USE, USE, FLAG and UPDATE_DAY fields. - Added FGDLAQDATE based on the date GeoPlan acquired the data from the Source. - Added the DESCRIPT field based on TYPE. Process Date: 20110830 |
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 131 Architecture PO Box 115706 Gainesville, FL 32611-5706 |
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 Contact FGDL: Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html