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
ALCHAUA: All of data sets were recieved from the Alachua County Property Appraisers Office. "GISLandpub", "GISAddr", "GISBldpub", "GISRealpub" tables were joined and then exported as a personal database (db1). "GISEntprop", "GISEntity" were joined as one table (db2). Then a third join was performed "db1", "db2" and "AlachuaCounty_Parcel.shp" shape file to create "AC_Parcel". A select by attribute was performed "buse=9300 OR buse=9400 OR luse >= 8600 OR puse >= 8600 OR muse >= 1060 <= 1063". The selected data was then exported as a personal database. The required fields were then selected and the remaining rows and columns of data were exported as a shapefile called "AC_PA_gov" renamed "PA_gov". BUSE 4900 OFFICE LOW RISE BUSE 5000 OFFICE HI RISE BUSE 5100 OFFICE CONDO BUSE 5152 MEDICAL CONDO BUSE 5200 MEDICAL OFFICE BUSE 5300 HOSPITAL BUSE 5400 NURS/CONV HOME BUSE 5800 BOWLING ALLEY BUSE 5900 ARENA BUSE 6000 AUDITORIUM BUSE 6100 THEATER BUSE 6800 MORTUARY BUSE 7100 TRANSPOR TERMNL BUSE 7200 DAYCARE BUSE 7300 GYMNASIUM BUSE 7400 FIRE STA-STAFFED BUSE 7500 FIRE STA-VOL BUSE 7600 ASSISTED LIVING BUSE 9000 SCHOOL BUSE 9100 CHURCH BUSE 9200 EDU/RELIG MISC BUSE 9300 GOVMENTAL BLDG BUSE 9400 LIBRARY BUSE 9500 CONVENTION CTR
EXMRE 15 Affordable Housing EXMRE 17 Cont Care Facility EXMRE 18 Charter Schools EXMRE 21 Wheel Chair Disabled Part EXMRE 22 Veteran S/C Partial EXMRE 23 Blind Disab I/R Partial EXMRE 42 Old Ex Code - Error EXMRE 50 Partial Property EXMRE 54 Economic Development EXMRE 60 Hist Exempt - County Only EXMRE 61 Hist Exempt - County&City EXMRE 62 Hist Exempt - City Only EXMRE 65 Seniors Hmstd EXMRE 70 Labor Education EXMRE 71 Education Exemption EXMRE 72 Literary Exemption EXMRE 77 Church EXMRE 78 Parsonage EXMRE 79 Church Burial EXMRE 80 YMCA EXMRE 81 Military EXMRE 82 Forest (State) EXMRE 83 School Board EXMRE 86 County Property EXMRE 87 State Property EXMRE 88 Federal Property EXMRE 89 Municipal Property LUSE 1900 PROFESSIONAL BLDG LUSE 1901 PROFESSIONAL BLDG LUSE 1910 MEDICAL OFFICE LUSE 1911 MEDICAL OFFICE LUSE 2000 AIRPORT LUSE 2010 MARINA LUSE 2020 BUS TERMINAL LUSE 3600 CAMPS LUSE 3700 RACETRACK LUSE 3710 ARENA LUSE 3800 GOLF COURSE LUSE 3810 GOLF DRIVING RANGE LUSE 4801 WAREHOUSE LUSE 4900 OPEN STORAGE LUSE 7100 CHURCH LUSE 7101 CHURCH LUSE 7200 SCHOOL PRIVATE LUSE 7201 SCHOOL PRIVATE LUSE 7300 HOSPITAL PRIVATE LUSE 7310 NURSING HOME LUSE 7400 RETIREMENT HOME LUSE 7410 INSTITUTIONAL HOME LUSE 7600 MORTUARY LUSE 7601 MORTUARY LUSE 7610 CEMETERY LUSE 7800 SANITARIUM LUSE 7900 CULTURAL LUSE 8100 MILITARY LUSE 8200 FOREST LUSE 8210 PARK LUSE 8220 RECREATION LUSE 8230 OUTDOOR LUSE 8240 CONSERVATION ESMT LUSE 8300 SCHOOL LUSE 8301 SCHOOL LUSE 8400 COLLEGE LUSE 8401 COLLEGE LUSE 8500 HOSPITAL LUSE 8501 HOSPITAL LUSE 8600 COUNTY OWNED LUSE 8601 COUNTY OWNED LUSE 8700 STATE OWNED LUSE 8701 STATE OWNED LUSE 8800 FEDERALLY OWNED LUSE 8900 MUNICIPALLY OWNED LUSE 8901 MUNICIPALLY OWNED LUSE 9000 LEASEHOLD INTEREST LUSE 9010 NO LAND INTEREST LUSE 9100 UTILITY LUSE 9101 UTILITY LUSE 9110 RAILROAD LUSE 9111 RAILROAD LUSE 9120 WATERWORKS LUSE 9130 TRANS TOWER LUSE 9200 MINING 1 LUSE 9240 BORROW PIT/LANDFILL LZONE ED Educational services LZONE MD Medical services LZONE PS Public Services & Oper
MUSE 0 MUSE 100 ADDITION MUSE 379 BOAT HSE 1 MUSE 380 BOAT HSE 2 MUSE 381 BOAT RAMP MUSE 900 FIRE PRO MUSE 920 FIRE STA MUSE 1060 GOVT CITY MUSE 1061 GOVT COUNT MUSE 1062 GOVT FED MUSE 1063 GOVT STATE MUSE 1580 OFFICE MUSE 1581 OFFICE MED MUSE 1840 RELIGIOUS MUSE 1860 RESTROOM MUSE 1921 SAUNA C MUSE 1940 SCHOOL MUSE 7739 DOCK 1 MUSE 7740 DOCK 2 MUSE 7741 DOCK C MUSE 7742 DOCK HSE MUSE 7900 FIRE PRO MUSE 7920 FIRE STA MUSE 8060 GOVT CITY MUSE 8061 GOVT COUNT MUSE 8062 GOVT FED MUSE 8063 GOVT STATE MUSE 8581 OFFICE MED MUSE 8840 RELIGIOUS MUSE 8860 RESTROOM MUSE 8940 SCHOOL
PTYPE CB CHURCH PTYPE CRH CHURCH/RELIGIOUS BLD. PTYPE HOS HOSPITAL/INSTITUTIONAL PTYPE HOSP HOSPITAL PTYPE PU PUBLIC WORKS & UTILITIES PTYPE REC AMUSEMENT/SOCIAL/REC. PTYPE RECB RECREATION BUILDING PTYPE SCH SCHOOLS & OTHER EDUC. PTYPE SCHE SCHOOL-ELEMENTARY PTYPE SCHH SCHOOL-HIGH SCHOOL PTYPE SCHJ SCHOOL-COMMUNITY COLLEGE PTYPE SCHU SCHOOL-UNIVERSITY PUSE 600 RETIREMENT PUSE 1900 PROF OFFICES PUSE 2000 AIRPORT PUSE 3500 TOURIST ATTRACTION PUSE 3600 CAMPS PUSE 7000 VACANT INSTITUTIONAL PUSE 7100 CHURCHES PUSE 7200 PRV SCHL/COLL PUSE 7300 PRV HOSPITAL PUSE 7400 NURSING HOME PUSE 7500 ORPHNG/NON-PROF PUSE 7600 MORT/CEMETERY PUSE 7700 CLB/LDG/UN HALL PUSE 7800 SANI/ REST HOME PUSE 8100 MILITARY PUSE 8200 FOREST/PK/REC PUSE 8300 PUB CTY SCHOOL PUSE 8400 COLLEGE PUSE 8500 HOSPITAL PUSE 8600 CTY INC NONMUNI PUSE 8700 STATE PUSE 8800 FEDERAL PUSE 8900 MUNICIPAL PUSE 9000 LEASEHOLD INT PUSE 9100 UTILITY PUSE 9700 OUTDR REC/PK LD
GILCHRIST: Gilchrist County parcel data was received from property appraiser in XLS (excel) format, data was exported as comma delimited table and read by ArcCatalog. In ArcGIS data (view1 and view3) was joined to projected Gilchrist County property appraiser parcel data via parcel number. Selected parcels were derived by querying on USECD column of view1.xls and BTYPE column of view3.xls for all parcels with BTYPE= 9300 or USECD >=8600 <=9100, and then matching the parcel to the known address of the entity. Added fields OPERATING, OP_CLASS, COMMON_USE, USE
Government building locations werew obtained from FGDL as a geocoded point layer entitled: gc_govbuild_sep05.shp This layer was analyzed and any locations that were missing were added as points and attributed. Sources include yellow pages, local, state, federal web sites. The points representing the government building locations were moved to the center of the polygons on which they are located. The polygons were then selected using a spatial selection. The government building parcel polygons for each county were then exported to a new layer. All of the county polygon layers were then appended. Attribution was checked for quality control.
GeoPlan received this data, via CDROM, and performed the following: -Reprojected to the FGDL Albers HPGN map projection. -Restructured the attribute table to fit the SCE Data Specification Document Standards. -Merged datasets together to create one FDOT District-wide shapefile. -Added FGDLAQDATE field based on the date FGDL acquired the data from the source. -Added DESCRIPT field based on 'OP_CLASS'.