This data is intended for use in the Efficient Transporation Decision Making Process (ETDM), which includes the development of an on-line application called the Environmental Screening Tool. The primary objective of the program include: - Effective/timely decision making without compromising environmental quality - Integrating review and permitting processe. - Early NEPA reviews and approvals - Full and early participation - Meaningful dispute resolution
For more information about these initiatives an on-line search using keyword 'ETDM' will provide a number of resources. A listing of relevant documents and resources is included under: <http://fdotenvironmentalstreamlining.urs-tally.com/Library/default.htm>.
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>
Northeast Florida Regional Planning Council NEFRPC 6850 Belfort Oaks Place Jacksonville, FL 32216 (904) 279-0880 Fax (904) 279-0881 <http://www.nefrpc.org/> info@nefrc.org Keith Joiner KJoiner@nefrc.org
This layer is complete for the time period in which it is dated, provided that the informational sources or agencies provided complete and accurate information and maps.
Alachua CRA = parcel query from Property Appraiser, EZ = shapefile from Mike Edelson, Gainesville City Planning Dept GIS specialist. The maps were obtained in digital format from the property appraisers, by querying the parcel data tables - parcels in business districts are specially coded to note tax advantages in those areas.
Bradford Pam Whittle at Bradford County Chamber of Commerce gave street boundaries over the phone. The layer was created by hand digitizing the boundaries.
Columbia The feature in the layer was hand digitized from a paper map acquired from the planning council.
Dixie The features in this file were hand digitized using a paper map taken from the NCFRPC Enterprise Zone application
Gilchrist This shapefile was hand digitized using a paper map acquired from the planning council.
Hamilton This layer was created using an existing shapefile acquired from Kevin Parrish at the planning council.
Levy The CRA was done using and existing shapefile and hand digitizing from a paper map . For Williston, an existing shape file from Bill Taylor, WRPC was used. Cedar Key was done using the pre-existing city boundary obtained from Cedar Key attorney David Coffee, and hand digitized from a digital photo taken of a map on his wall.
Madison Business districts, EZ and CRA, shapefile was done by creating a new shapefile and digitizing hand drawn maps.
Suwannee Live Oak CRA shapefile was done by creating a new shapefile by hand digitizing a map obtained from the planning council.
Taylor This layer was created using and editing an existing shapefile.
February, 2005 to June, 2005
1. Obtained the locations of the areas of interest from resources in varying formats. Some were verbal descriptions, some were hand-drawn maps, and others were digital image maps that were emailed to us.
2. Features were digitized using cadastral parcel polygons, street centerlines, and section lines as a base.
3. Final layer was checked for quality control. Any discrepancies were noted and resolved.