This is a small scale map and should be used only for regional or statewide analysis. DO NOT use this coverage as a base map. It is one of a few Land Use datasets available for this time period, and can be used to perform time-series land use changes by using newer Landuse datasets from Florida's Water Management Districts.
DATA CONTENT
The set of Land Use and Land Cover and associated maps consists of Land Use and Land Cover, political units, hydrologic units, census county subdivisions, Federal land ownership, and State land ownership (optional).
The Land Use and Land Cover map is compiled to portray the Level II categories of the Land Use and Land Cover classification system documented by Anderson and others (l976). The Level II categories of this Land Use and Land Cover classification system provide the user with a basic framework to which third- and fourth-level categories may be added.
The associated maps portray either natural or administrative information. They provide the user with the opportunity to utilize the Land Use and Land Cover maps and data, either individually or collectively, to produce graphic or tabular data for the areas portrayed on the associated maps. This mapping system is constructed in such a way that the Land Use and Land Cover data can be related to other resource fields such as soils, geology, hydrology, and demography.
To provide the data in digital form, the Geographic Information Retrieval and Analysis System (GIRAS) has been developed (Mitchell and others, l977). The data structure used in GIRAS to store the information is the result of a series of evolving structures and, as such, reflects the judgment by the USGS concerning the presentation and format of polygonal data. For those users better able to handle data in a grid cell form, data are also provided in a Composite Theme Grid (CTG) format.
SOURCE DATA CHARACTERISTICS
The characteristics of the digital cartographic data base for Land Use and Land Cover and associated maps reflect the parameters used in compiling the maps. The Land Use and Land Cover mapping program is designed so that standard topographic maps at a scale of l:250,000 can be used as a base for compilation and reproduction. In a few cases, USGS has prepared Land Use and Land Cover and associated maps at a scale of 1:100,000 when the 1:100,000-scale topographic map base was available.
Land Use and Land Cover maps provide data to be used either by themselves or in combination with the other data sets produced in the program. The basic sources of land use compilation data are NASA high-altitude aerial photographs, and National High-Altitude Photography (NHAP) program photographs, usually at scales smaller than l:60,000. The l:250,000-scale topographic map series is generally used as the base map for the compilation of the Land Use and Land Cover maps and the associated overlays; 1:100,000-scale topographic map bases have been used on rare occasions. Although compilation of Land Use and Land Cover data is performed on a film-positive base usually enlarged to a scale of approximately l:l25,000, the associated overlays are both compiled and digitized at a scale of l:250,000.
All features are delineated by curved or straight lines that depict the actual boundaries of the areas (polygons) being described. The minimum size of polygons depicting all Urban or Built-up Land (categories 11-17), Water (51-54), Confined Feeding Operations (23), Other Agricultural Land 24), Strip Mines, Quarries, and Gravel Pits (75) and urban Transitional areas (76), is 4 hectares (ha). All other categories of Land Use and Land Cover have a minimum polygon size of 16 ha. (Those sizes also are considered the minimum sizes to which polygons are digitized.) In the Urban or Built-up Land and Water categories, the minimum width of a feature to be shown is 200 m; (that is, if a square with sides 200 m in length is delineated, the area will be 4 ha). Although the minimum-width consideration precludes the delineation of very narrow and very long 4-ha polygons, triangles or other polygons are acceptable if the base of the triangle or minimum width of the polygon is 200 m in length and if the area of the polygon is 4 ha. Exceptions to this specification are limited access highways (14) and all double line rivers (51) on the 1:250,000-scale base which shall have a minimum width of 92 m. For categories other than Urban or Built-up Land and Water, the 16-ha minimum size for delineation requires a minimum-width polygon of 400 m. Line weight for delineating Land Use and Land Cover polygons and for neatlines is 0.l0 mm at the production scale of l:250,000.
Pensacola 1973 Tallahassee 1972-74 Valdosta 1972-74 Jacksonville 1972-73 Apalachicola 1972-73 Gainesville 1972 Daytona Beach 1972 Plant City 1972 Orlando 1972 Tampa 1972 Fort Pierce 1972 West Palm Beach 1973 Miami 1972-73 Key West 1974
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>
Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E., l976, A Land Use and Land Cover classification system for use with remote sensor data: U.S. Geological Survey Professional Paper 964, 28 p.
Mitchell, W.B., Guptill, S.C., Anderson, K.E., Fegeas, R.G., and Hallam, C.A., l977, GIRAS--A geographic information retrieval and analysis system for handling Land Use and Land Cover data: U.S. Geological Survey Professional Paper l059, l6 p.
Pensacola 1973 Tallahassee 1972-74 Valdosta 1972-74 Jacksonville 1972-73 Apalachicola 1972-73 Gainesville 1972 Daytona Beach 1972 Plant City 1972 Orlando 1972 Tampa 1972 Fort Pierce 1972 West Palm Beach 1973 Miami 1972-73 Key West 1974
GeoPlan, during the QA/QC process included the following aspects:
(1) Added DESCRIPT Item based on LUCOD (2) Set to Double Precision (3) Set Tolerances to FGDL Standards (4) Reprojected from a Nationwide Albers to FGDL Albers.
This data was received from GeoPlan as four WMD tile shapefiles in NAD27. The tiles were SHAPEARCed and PROJECTed into HPGN (NAD83/90) using ARC/INFO 7.2.1 and the resulting regions were converted back to shapefiles in ArcView 3.2 were the four tiles were then merged into one statewide shapefile.
In ArcView 3.2, the fields LEVEL1 and LU_CODE were added and the field LUCODE was changed to LEVEL2 to improve consistency with DEP Land Use layers.
GeoPlan, during the QA/QC process included the following aspects:
(1) Added DESCRIPT Item based on LUCODE (2) Set to Double Precision (3) Set Tolerances to FGDL Standards (4) Reprojected Albers NAD83 HARN to FGDL Albers.
GeoPlan, during the QA/QC process, included the following aspects:
(1) Original dataset filename: statewide_landuse_1974.shp (2) Projected data to FGDL Albers. (3) The dataset was downloaded from the Florida Department of Environmental Protection. There were 182 "slivers" which are areas with no land use information. 158 slivers lied along USGS quad boundaries and were elimnated using the ELIMINATE tool within ArcMap 9.1. The remaining 24 slivers were larger polygons and remain within the dataset. (4) Added the FGDLAQDATE field. (5) Added DESCRIPT item based on DESCRIPTIO. (6) Deleted DESCRIPTIO field.
This dataset predates current standard FLUCCS codes. While many of the codes represent similar values, be careful to check specific codes before making time change comparisons with more current Land Use/Land Cover layers.