This dataset contains asphalt source locations from the June 2019 version of the Florida Department of Transportation Asphalt Sources Table Producers with Accepted QC Program (asphaltsource.pdf). The materials/producer listings found in the table are updated once every 24 hours online, this dataset represents a snap shot of the data available for the date of June 13, 2019. This layer is an update to the FGDL layer asphsrc_aug17.shp.
The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.
publication date
NONE
5007 NE 39th Avenue
Florida Department of Transportation
GeoPlan relied on the integrity of the attribute information within the original data.
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.
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
Spatial and Attribute Information
GeoPlan downloaded the source for this dataset from the Florida Department of Transportation, Materials Office website (https://mac.fdot.gov/smoreports) on June 13th, 2019. The file downloaded was entitled All Producers (excel). The data was received as an XLS with all materials produced in Florida. All materials with a MATERIAL TYPE not equal to Asphalt were deleted from the table. The table was then saved as a CSV. The dataset was brought into ArcMap and mapped based on the provided Latitude Longitude coordinates Shapefile created using WGS84 was reprojected to Albers using the WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida transformation. All fields were upcased. DESCRIPT field was added based on NAME. FGDLAQDATE field was added based on date downloaded from source. MGRS, LAT_DD, LONG_DD, GOOGLEMAP fields added Restructured table based on the longest record for each field Changed attribute table names from update to match the names from the previous FGDL update. Name changes include: -Facility_I = FAC_ID -Facility_D = NAME -Contact_Pe = CONTACT -Contact_Em = EMAIL -Telephone = PHONE -Physical_A = ADDRESS -P_Addres_1 = CITY -P_Addres_2 = STATE -P_Addres_3 = ZIPCODE -Mailing_Ad = MAILING -M_Addres_1 = M_CITY -M_Addres_2 = M_STATE -M_Addres_3 = M_ZIPCODE -QCP_Status = STATUS -QCP_Stat_1 = ACT_DATE
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
Esri
The FDOT district that the facility falls within.
FDOT
Type of Facility
FDOT
Type of Material
FDOT
The facilities identification number.
FDOT
The name of the facility.
FDOT
Undefined by Source.
GeoPlan
The contact person for the facility.
FDOT
The email address for the facility.
FDOT
The phone number of the facility.
FDOT
The address of the facility.
FDOT
Undefined by Source.
GeoPlan
The city that the facility is located in.
FDOT
The state of the facility
FDOT
The zipcode of the facility.
FDOT
Country that the facility is located.
FDOT
The mailing address for the facility.
FDOT
Undefined by Source.
GeoPlan
The city that the mailing address is located in.
FDOT
The state that the mailing address is located in.
FDOT
The zipcode that the mailing address is located in.
FDOT
Country the mailing address is located.
FDOT
Facility Status
FDOT
Facility status date.
FDOT
The status of the facility, i.e. the facilities Quality Control Plan.
FDOT
The active date for the facility.
FDOT
Latitude in decimal degrees.
GeoPlan
Longitude in decimal degrees.
GeoPlan
Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth.
GeoPlan
Webpage hyperlink to location in Google Maps
GeoPlan
FGDL added field based on NAME
GeoPlan
FGDL added field based on date downloaded from source
GeoPlan
Unique ID added by GeoPlan
GeoPlan
431 Architecture PO Box 115706
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
5007 NE 39th Avenue