TITLE: MOBILE HOME PARKS
Geodataset Name: GC_MOBILEHOMES Geodataset Type: SHAPEFILE Geodataset Feature: POINTGENERAL DESCRIPTION:
This dataset contains approved or acknowledged mobile home parks and owners. Terminated, rejected or withdrawn projects are not included. This dataset contains fields denoting the physical address, and contact information for mobile home parks based on 2004 data taken from the MyFlorida.com. |
DATA SOURCE(S): My Florida-Business and Professional Regulation SCALE OF ORIGINAL SOURCE MAPS: unknown DATE OF AUTOMATION OF SOURCE: 2004 GEODATASET EXTENT: State of Florida
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_MOBILEHOMES.DBF
ITEM NAME | WIDTH | TYPE | N. DECIMAL DEGREES |
FID
|
4 | OID | --- |
Shape
|
0 | Geometry | --- |
SHAPE
|
9 | Number | --- |
FID_1
|
1 | String | --- |
Status
|
4 | Number | --- |
Score
|
1 | String | --- |
Side
|
19 | Number | 5 |
X
|
19 | Number | 5 |
Y
|
18 | Number | --- |
PRJ_CNTNUM
|
11 | String | --- |
COUNTY
|
17 | String | --- |
OWNER_NUMB
|
50 | String | --- |
OWNER_NAME
|
47 | String | --- |
ROUTING_IN
|
37 | String | --- |
OWNER_STRE
|
24 | String | --- |
OWNER_CITY
|
15 | String | --- |
OWNER_STAT
|
12 | Number | --- |
OWNER_ZIP
|
18 | String | --- |
PRJ_NUMBER
|
51 | String | --- |
PRJ_NAME
|
40 | String | --- |
PRJ_STREET
|
24 | String | --- |
PRJ_CITY
|
16 | String | --- |
PRJ_STATE
|
9 | String | --- |
PRJ_ZIP
|
8 | Date | --- |
INIT_AP_DA
|
17 | Number | --- |
NUMBER_TO_
|
15 | String | --- |
1STATUS_CO
|
16 | String | --- |
STATUS_CO
|
16 | String | --- |
DESCRIPT
|
55 | String | --- |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
FID |
Internal feature number. |
|
Shape |
Feature geometry. |
|
SHAPE |
Feature geometry. |
|
FID_1 |
Internal value. |
|
Status |
Data attribute inherent to the ESRI shapefile format, (whether it was matched or not). |
|
Score |
ESRI item which denotes the score with which the address was matched to a feature in the reference data. |
|
Side |
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). |
|
X |
ESRI item which denotes the X coordinate of the geocoded feature. |
|
Y |
ESRI item which denotes the Y coordinate of the geocoded feature. |
|
PRJ_CNTNUM |
Assigned county number as defined by MyFlorida |
|
COUNTY |
Name of county. |
|
OWNER_NUMB |
License number given to the owner by the State of Florida. |
|
OWNER_NAME |
Name of owner. |
|
ROUTING_IN |
Co-owners or other associated names. |
|
OWNER_STRE |
Owners street of residence. |
|
OWNER_CITY |
City where owner lives. |
|
OWNER_STAT |
State of owner. |
|
OWNER_ZIP |
Zip Code of owner. |
|
PRJ_NUMBER |
Project number of MHP. |
|
PRJ_NAME |
Name of MHP |
|
PRJ_STREET |
Street of MHP. |
|
PRJ_CITY |
City of MHP. |
|
PRJ_STATE |
State of MHP. |
|
PRJ_ZIP |
Zip Code of MHP. |
|
INIT_AP_DA |
Intial appropriation date. |
|
NUMBER_TO_ |
Internal feature number. |
|
1STATUS_CO |
Status condition |
|
STATUS_CO |
Other Status Conditions |
|
DESCRIPT2 |
Calculated on PRJ_NAME |
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. DEPARTMENT OF BUSINESS AND PROFESSIONAL REGULATION LICENSEE DOWNLOAD FILES SITE DISCLAIMER Under Chapter 119, Florida Statutes, the Department of Business and Professional Regulation (DBPR) is required to make available for inspection and copying any public record regardless of physical format which is not otherwise exempted from public access by general law. To fulfill this obligation, the Department provides copies of electronic records to the public through this free download site. The Department is only required to provide data in the format in which they are maintained and, as a result, does not provide paper copies of this information. In addition, the Department is not required to reformat its records to meet a requestor's particular needs. Section 119.083(4), F.S., requires only that the agency provide electronic data in some common format such as, but not limited to, the American Standard Code for Information Interchange (ASCII) text format. Therefore, the download files provided from this site are formatted as ASCII text, quote/comma delimited. Due to this, it is important that requestors know the following information before downloading a file: - The Department does not offer technical support during or after the download process. Please refer to your software manuals, Corporate Help Desk, or Internet Service Provider for any assistance you require; - File size may be larger than the space available on your computer; if so free up additional space before attempting the download; - Some features such as tabs, font selection, and graphics may be lost when converting a file to ASCII text; Files require Windows 3.1 and a 486 or higher computer and may not be compatible with Macintosh or Apple computer systems; The Department is not responsible for damages sustained to existing user data, software, and/or hardware from data obtained through the download process; and Although data are refreshed weekly, system maintenance may delay the updating of files. To determine the timeliness of data, please refer to the date posted. For up-to-the-minute, license verification, please call the Department's Customer Contact Center at 850.487.1395 or access the Department's License search feature at https://www.myfloridalicense.com/Default.asp. |
A note concerning data scale: Scale is an important factor in data usage. Certain scale datasetsare not suitable for some project, analysis, or modelling 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. 1:250000 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 analyses. Every effort has been made to supply the user with data documentation. For additional information, see the References sectionand the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our web pages at: http://www.geoplan.ufl.edu/education.html |
My Florida http://www.state.fl.us/dbpr/sto/file_download/download_files.shtml |
Mobile home locations and information were obtained from the online MyFlorida site in 2004 www.state.fl.us/dbpr/sto/file_download/download_files.shtml. GeoPlan downloaded this data in EXCEL format and converted it to a dbf. The dbf was then geocoded against ARC Logistics Route GDT Roads and converted into a shapefile with the FGDL Albers HPGN map projection. (See "Map Projection Parameters" below). Data was checked (cleaned) for accuracy against zip code boundaries in the State of Florida . Process Date: 20040819 |
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: |
MY FLORIDA-BUSINESS AND PROFESSIONAL REGUALTION MyFlorida 1940 North Monroe Street Tallahassee, FL 32399-1027 850.922.8981 |
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