//"Hispaniolan pine", "Pine");
//"Nonforest", "Not stocked");
//"Improved pine stock", "Pine");
/// <summary>
/// build up a dataset with code instead of import an SIT formatted dataset
/// </summary>
private static void Method2()
{
string projectPath = @"C:\Program Files (x86)\Operational-Scale CBM-CFS3\Projects\myproject\myproject.mdb";
string dirname = System.IO.Path.GetDirectoryName(projectPath);
if (!System.IO.Directory.Exists(dirname))
{
System.IO.Directory.CreateDirectory(dirname);
}
//when initialize mapping is true, incoming sit
//data must be named exactly as the definitions in the archive index
Sitplugin sitplugin = new Sitplugin(
outputPath: projectPath,
initializeMapping: true);
//define ten year age class size, with 20 values (200 years)
int numAgeClasses = 20;
sitplugin.AddAgeClasses(10, numAgeClasses);
sitplugin.AddClassifier("admin");
sitplugin.AddClassifier("eco");
sitplugin.SetAdminEcoMapping("admin", "eco");
sitplugin.AddClassifier("species");
sitplugin.SetSpeciesClassifier("species");
sitplugin.AddClassifier("group");
sitplugin.AddInventory(
classifierSet: "British Columbia,Pacific Maritime,Spruce,g1",//note exact naming is required when " initializeMapping: true"
age: 100,
area: 10,
spatialReference: 100,
HistoricDisturbance: "Wildfire",
MostRecentDisturbance: "Clearcut harvesting with salvage");
List <double> FakeGrowthCurve = Enumerable.Range(0, numAgeClasses)
.Select(a => 200 / (1 + Math.Exp(-0.5 * (a - numAgeClasses / 2.0)))).ToList();
sitplugin.AddYield(
classifierSet: "British Columbia,Pacific Maritime,Spruce,?",
leadingSpeciesClassifierValue: "Spruce",
values: FakeGrowthCurve);
sitplugin.AddDisturbanceEvent(
classifierSet: "?,?,?,?",//when spatial reference is used, events do not use a classifier set
disturbanceType: "Clearcut harvesting with salvage",
timestep: 100,
target: 5,
targetType: "Area",
spatialReference: 100);
sitplugin.Import();
}
private static void LoadConfigDataObjects(Sitplugin plugin, JToken dataConfig)
{
var parseClassifierSet = new Func <JToken, string>((t) =>
{
return(String.Join(",", t.Select(a => (string)a)));
});
foreach (var i in dataConfig["inventory"])
{
plugin.AddInventory(
classifierSet: parseClassifierSet(i["classifier_set"]),
area: (double)i["area"],
age: (int)i["age"],
spatialReference: Unpack(i, "spatial_reference", -1),
delay: Unpack(i, "delay", 0),
unfcccLandClass: Unpack(i, "unfccc_land_class", 0),
HistoricDisturbance: Unpack(i, "historic_disturbance", (string)null),
MostRecentDisturbance: Unpack(i, "last_pass_disturbance", (string)null));
}
foreach (var i in dataConfig["disturbance_events"])
{
plugin.AddDisturbanceEvent(
classifierSet: parseClassifierSet(i["classifier_set"]),
disturbanceType: (string)i["disturbance_type"],
timestep: (int)i["time_step"],
target: (double)i["target"],
targetType: (string)i["target_type"],
sort: (string)i["sort"],
spatialReference: Unpack(i, "spatial_reference", -1),
ageMin: Unpack(i, "age_min", -1),
ageMax: Unpack(i, "age_max", -1),
efficiency: Unpack(i, "efficiency", 1.0),
eligibility: i["eligibility"]?.Select(a => (double)a).ToArray());
}
foreach (var i in dataConfig["yield"])
{
plugin.AddYield(
classifierSet: parseClassifierSet(i["classifier_set"]),
leadingSpeciesClassifierValue: (string)i["leading_species_classifier_value"],
values: i["values"].Select(a => (double)a).ToList());
}
if (dataConfig["transition_rules"] != null)
{
foreach (var i in dataConfig["transition_rules"])
{
plugin.AddTransitionRule(
classifierSetSource: parseClassifierSet(i["classifier_set_source"]),
classifierSetTarget: parseClassifierSet(i["classifier_set_target"]),
disturbanceType: (string)i["disturbance_type"],
percent: Unpack(i, "percent", 100.0),
spatialReference: Unpack(i, "spatial_reference", -1),
ageMin: Unpack(i, "age_min", -1),
ageMax: Unpack(i, "age_max", -1),
resetAge: Unpack(i, "reset_age", -1),
regenDelay: Unpack(i, "regen_delay", 0));
}
}
}