land_cov3
Define projection of benth_bc, fish_bc, and hydro_u as:
projection stateplane
units feet
datum nad83
zone 4901
parameters
Clip each coverage with land_cov3 Out: benth_len
Out: fish_len
Out: hydro_u_len
Edit hydro_u_len by adding new fields and data:
Fields:
1 = Subwatersheds that flow directly into the Neuse within the county.
2 = Subwatersheds that flow into “1.”
3 = Those that flow into the Neuse or into subwatersheds outside of the county.
0 = Hierarchy 3 or does not contain BIOCLASS monitoring sites
1 = Fish: Poor-fair/ Benthos: Fair
2 = Fish: Excellent downstream, poor upstream / Benthos: Good/Fair
3 = Benthos: Good
4 = Fish: Fair-good
5 = Fish: Fair
Priority
0 = has bioclassses of good or fair-good
1 = has bioclasses of poor, poor-fair, or fair
2 = no monitoring sites within watershed
3 = flows outside of county
Select Priority = 1 from hydro_u_len Out: priority_hu
Intersect priority_hu with land_cov3 Out: lc_priority
Edit lc_priority by adding data
wetlands = 1
Select NOTHING = 1(made doughnut holes) Out: wet_priority2
Edit priority_hu
HU_CODE
(Codes unique to each priority subwatershed)
10000
20000
30000
40000
50000
60000
70000
80000
Convert priority_hu and lc_priority to grids
priority_hu: HU_CODE Out: phu
lc_priority: LC_CLASS_ Out: plc
Add phu and plc Out: plc_count
Export plc_count to dbf Out: plc_count.dbf
Calculate percent landcover for each subwatershed Out: plc_count2.dbf
FINAL TABLE: plc_count2.dbf