Deer encoding challenges

[waldoj]

These are a bunch of issues that will need to be broken up into a series of tickets—I'm just putting them here for the time being.

• How do we indicate bag limits?
• How do we indicate restrictions based on sex?
• How do we indicate restrictions based on antlers?
• Can we use a shorthand for “west of the Blue Ridge” and “west of the Blue Ridge”? Re-specifying this list over and over again seems wasteful. OTOH, it’s just copy-and-paste, so maybe this isn’t really a problem.
• How do we indicate “state forest lands,” “state park lands,” “department-owned lands,” “public access lands,” and “national forests”?
• How do we indicate “private lands”?
• How do we mark “Earn-a-Buck” counties?
• How do we indicate when all towns and cities within a county are included? (e.g., " In the counties (including the cities and towns within) of Floyd, Franklin, Henry, and Patrick.")

Note that we don’t have to do all of these things. It’s totally reasonable not to atomize all of this. But we'll need to figure out which of these get done.

[waldoj]

I'm dubious that we need to atomize bag limits or Earn-a-Buck counties. That seems reasonable to include in textual content.

[waldoj]

I think the easiest way to indicate "state forest lands," "private lands," etc. is—when they are subsets of counties—to simply include that as a restriction element, e.g.:

"Montgomery": {
    "gnis_id": 1674630,
    "fips_code": "TK",
    "restriction": "state forest lands"
}

[waldoj]

West of the Blue Ridge:

"Alleghany": {
    "gnis_id": 1673675,
    "fips_code": "99005"
},
"Augusta": {
    "gnis_id": 1480098,
    "fips_code": "99015"
},
"Bath": {
    "gnis_id": 1673638,
    "fips_code": "99017"
},
"Bland": {
    "gnis_id": 1494613,
    "fips_code": "99021"
},
"Botetourt": {
    "gnis_id": 1674418,
    "fips_code": "99023"
},
"Bristol": {
    "gnis_id": 1498416,
    "fips_code": "09816"
},
"Buchanan": {
    "gnis_id": 1497431,
    "fips_code": "99027"
},
"Carroll": {
    "gnis_id": 1480108,
    "fips_code": "99035"
},
"Clarke": {
    "gnis_id": 1690562,
    "fips_code": "99043"
},
"Clifton Forge": {
    "gnis_id": 1492780,
    "fips_code": "17440"
},
"Covington": {
    "gnis_id": 1789069,
    "fips_code": "19728"
},
"Craig": {
    "gnis_id": 1673664,
    "fips_code": "99045"
},
"Dickenson": {
    "gnis_id": 1497376,
    "fips_code": "99051"
},
"Floyd": {
    "gnis_id": 1494354,
    "fips_code": "99063"
},
"Frederick": {
    "gnis_id": 1480124,
    "fips_code": "99069"
},
"Galax": {
    "gnis_id": 1498426,
    "fips_code": "30208"
},
"Giles": {
    "gnis_id": 1494551,
    "fips_code": "99071"
},
"Grayson": {
    "gnis_id": 1501196,
    "fips_code": "99077"
},
"Harrisonburg": {
    "gnis_id": 1498563,
    "fips_code": "35624"
},
"Highland": {
    "gnis_id": 1673774,
    "fips_code": "99091"
},
"Lee": {
    "gnis_id": 1496538,
    "fips_code": "99105"
},
"Lexington": {
    "gnis_id": 1789071,
    "fips_code": "45512"
},
"Montgomery": {
    "gnis_id": 1674630,
    "fips_code": "99121"
},
"Norton": {
    "gnis_id": 1498434,
    "fips_code": "57688"
},
"Page": {
    "gnis_id": 1500440,
    "fips_code": "99139"
},
"Pulaski": {
    "gnis_id": 1501465,
    "fips_code": "99155"
},
"Radford": {
    "gnis_id": 1498438,
    "fips_code": "65392"
},
"Roanoke": {
    "gnis_id": 1480165,
    "fips_code": "99161"
},
"Roanoke (city)": {
    "gnis_id": "1499971",
    "fips_code": "68000"
},
"Rockbridge": {
    "gnis_id": 1480166,
    "fips_code": "99163"
},
"Rockingham": {
    "gnis_id": 1488970,
    "fips_code": "99165"
},
"Russell": {
    "gnis_id": 1497573,
    "fips_code": "99167"
},
"Salem": {
    "gnis_id": 1789074,
    "fips_code": "70000"
},
"Scott": {
    "gnis_id": 1498172,
    "fips_code": "99169"
},
"Shenandoah": {
    "gnis_id": 1673918,
    "fips_code": "99171"
},
"Smyth": {
    "gnis_id": 1500545,
    "fips_code": "99173"
},
"Staunton": {
    "gnis_id": 1789075,
    "fips_code": "75216"
},
"Tazewell": {
    "gnis_id": 1497748,
    "fips_code": "99185"
},
"Warren": {
    "gnis_id": 1674058,
    "fips_code": "99187"
},
"Washington": {
    "gnis_id": 1498359,
    "fips_code": "99191"
},
"Waynesboro": {
    "gnis_id": 1498443,
    "fips_code": "83680"
},
"Winchester": {
    "gnis_id": 1789077,
    "fips_code": "86720"
},
"Wise": {
    "gnis_id": 1496656,
    "fips_code": "99195"
},
"Wythe": {
    "gnis_id": 1501379,
    "fips_code": "99197"
}