A note about data scale:
Scale is an important factor in data usage. Certain scale datasets are 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. 1:125000 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>
1. Clay (ned10) range 0-90 2 pixels = 255
2. Duval (ned16) range 0-57 3 pixels = 255
3. Escambia (ned17) range 0-103 12 pixels = 254 110 pixels = 255
4. Layfayette (ned34) range 0-55 7 pixels = 255
5. Pinellas (ned52) range 0-30 1 pixel = 255
6. Santa Rosa (ned57) range 0-90 2 pixels = 254 22 pixels = 255
The six counties with abberrant values were processed to eliminate the spikes in the data. Each GRID was visually inspected to identify where the pixel values of 255 were located. In each GRID, the high values were in the ocean and were surrounded by pixel values of zero on each side. Therefore, the pixel values of 255 were reclassified to zero.
Counties with an irregular area: (looks like higher resolution quads)
1. Calhoun (ned07)
2. Dixie (ned15)
3. Gilchrist (ned21)
4. Layfayette (ned34)
5. Madison (ned40)
6. Suwannee (ned61)