本文整理汇总了C#中Landis.SpatialModeling.ActiveSite.GetNeighbor方法的典型用法代码示例。如果您正苦于以下问题：C# ActiveSite.GetNeighbor方法的具体用法？C# ActiveSite.GetNeighbor怎么用？C# ActiveSite.GetNeighbor使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Landis.SpatialModeling.ActiveSite的用法示例。
在下文中一共展示了ActiveSite.GetNeighbor方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: DefoliateCohort
//---------------------------------------------------------------------
// This method replaces the delegate method. It is called every year when
// ACT_ANPP is calculated, for each cohort. Therefore, this method is operating at
// an ANNUAL time step and separate from the normal extension time step.
// The method calculates a fraction of leaf biomass lost to defoliation.
public static double DefoliateCohort(ICohort cohort, ActiveSite site, int siteBiomass)
{
//PlugIn.ModelCore.Log.WriteLine(" Calculating insect defoliation...");
int sppIndex = cohort.Species.Index;
double totalDefoliation = 0.0;
foreach(IInsect insect in manyInsect)
{
if (!insect.ActiveOutbreak)
{
//if (PlugIn.ModelCore.CurrentTime >= 8)
// PlugIn.ModelCore.Log.WriteLine(" {0} is NOT active. ", insect.Name);
continue;
}
//if (PlugIn.ModelCore.CurrentTime >= 8)
// PlugIn.ModelCore.Log.WriteLine(" Begin defoliation within Succession... ");
double defoliation = 0.0;
double weightedDefoliation = 0.0;
int suscIndex = insect.SppTable[sppIndex].Susceptibility - 1;
// Get the Neighborhood GrowthReduction Density
double meanNeighborhoodDefoliation = 0.0;
int neighborCnt = 0;
// If it is the first year, the neighborhood growth reduction
// will have been initialized in Outbreak.InitializeDefoliationPatches
if(insect.NeighborhoodDefoliation[site] > 0)
{
//PlugIn.ModelCore.Log.WriteLine(" First Year of Defoliation: Using initial patch defo={0:0.00}.", SiteVars.NeighborhoodDefoliation[site]);
meanNeighborhoodDefoliation = insect.NeighborhoodDefoliation[site];
}
// If not the first year, calculate mean neighborhood defoliation based on the
// previous year.
else
{
double sumNeighborhoodDefoliation = 0.0;
//PlugIn.ModelCore.Log.WriteLine("Look at the Neighbors... ");
foreach (RelativeLocation relativeLoc in insect.Neighbors)
{
Site neighbor = site.GetNeighbor(relativeLoc);
if (neighbor != null && neighbor.IsActive)
{
neighborCnt++;
sumNeighborhoodDefoliation += insect.LastYearDefoliation[neighbor];
}
}
if(neighborCnt > 0.0)
meanNeighborhoodDefoliation = sumNeighborhoodDefoliation / (double) neighborCnt;
} //endif
if(meanNeighborhoodDefoliation > 1.0 || meanNeighborhoodDefoliation < 0)
{
PlugIn.ModelCore.UI.WriteLine("MeanNeighborhoodDefoliation={0}; NeighborCnt={1}.", meanNeighborhoodDefoliation, neighborCnt);
throw new ApplicationException("Error: Mean Neighborhood GrowthReduction is not between 1.0 and 0.0");
}
// First assume that there are no neighbors whatsoever:
DistributionType dist = insect.SusceptibleTable[suscIndex].Distribution_0.Name;
double value1 = insect.SusceptibleTable[suscIndex].Distribution_0.Value1;
double value2 = insect.SusceptibleTable[suscIndex].Distribution_0.Value2;
if(meanNeighborhoodDefoliation <= 1.0 && meanNeighborhoodDefoliation >= 0.8)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_80.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_80.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_80.Value2;
}
else if(meanNeighborhoodDefoliation < 0.8 && meanNeighborhoodDefoliation >= 0.6)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_60.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_60.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_60.Value2;
}
else if(meanNeighborhoodDefoliation < 0.6 && meanNeighborhoodDefoliation >= 0.4)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_40.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_40.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_40.Value2;
}
else if(meanNeighborhoodDefoliation < 0.4 && meanNeighborhoodDefoliation >= 0.2)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_20.Name;
//.........这里部分代码省略.........
示例2: DefoliateCohort
//---------------------------------------------------------------------
// This method replaces the delegate method. It is called every year when
// ACT_ANPP is calculated, for each cohort. Therefore, this method is operating at
// an ANNUAL time step and separate from the normal extension time step.
//static int LastYearDefoliationCohortWasCalled = int.MinValue; // Add this for error capture. Ensure timestep for succession is annual. Previous method doesn't work with new biomass library.
//static bool TimeStepChecked = false;
public static double DefoliateCohort(ActiveSite site,
ISpecies species,
int cohortBiomass,
int siteBiomass)
{
// if (TimeStepChecked == false)
// {
// if (LastYearDefoliationCohortWasCalled > 0 && PlugIn.ModelCore.CurrentTime - LastYearDefoliationCohortWasCalled > 1)
// {
// throw new System.Exception(" CAUTION! If using Biomass Insects, Succession Extension should be operating at an ANNUAL time step.");
// }
// LastYearDefoliationCohortWasCalled = PlugIn.ModelCore.CurrentTime;
// TimeStepChecked = true;
// }
// PlugIn.ModelCore.UI.WriteLine(" Calculating insect defoliation...");
int sppIndex = species.Index;
double totalDefoliation = 0.0;
foreach (IInsect insect in manyInsect)
{
if (!insect.ActiveOutbreak)
continue;
double defoliation = 0.0;
double weightedDefoliation = 0.0;
int suscIndex = insect.SppTable[sppIndex].Susceptibility - 1;
if (suscIndex < 0) suscIndex = 0;
// Get the Neighborhood GrowthReduction Density
double meanNeighborhoodDefoliation = 0.0;
int neighborCnt = 0;
// If it is the first year, the neighborhood growth reduction
// will have been initialized in Outbreak.InitializeDefoliationPatches
if (insect.NeighborhoodDefoliation[site] > 0)
{
// PlugIn.ModelCore.UI.WriteLine(" First Year of Defoliation: Using initial patch defo={0:0.00}.", SiteVars.NeighborhoodDefoliation[site]);
meanNeighborhoodDefoliation = insect.NeighborhoodDefoliation[site];
}
// If not the first year, calculate mean neighborhood defoliation based on the
// previous year.
else
{
double sumNeighborhoodDefoliation = 0.0;
// PlugIn.ModelCore.UI.WriteLine("Look at the Neighbors... ");
foreach (RelativeLocation relativeLoc in insect.Neighbors)
{
Site neighbor = site.GetNeighbor(relativeLoc);
if (neighbor != null && neighbor.IsActive)
{
neighborCnt++;
sumNeighborhoodDefoliation += insect.LastYearDefoliation[neighbor];
}
}
if (neighborCnt > 0.0)
meanNeighborhoodDefoliation = sumNeighborhoodDefoliation / (double)neighborCnt;
} //endif
if (meanNeighborhoodDefoliation > 1.0 || meanNeighborhoodDefoliation < 0)
{
PlugIn.ModelCore.UI.WriteLine("MeanNeighborhoodDefoliation={0}; NeighborCnt={1}.", meanNeighborhoodDefoliation, neighborCnt);
throw new ApplicationException("Error: Mean Neighborhood GrowthReduction is not between 1.0 and 0.0");
}
// First assume that there are no neighbors whatsoever:
DistributionType dist = insect.SusceptibleTable[suscIndex].Distribution_0.Name;
double value1 = insect.SusceptibleTable[suscIndex].Distribution_0.Value1;
double value2 = insect.SusceptibleTable[suscIndex].Distribution_0.Value2;
if (meanNeighborhoodDefoliation <= 1.0 && meanNeighborhoodDefoliation >= 0.8)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_80.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_80.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_80.Value2;
}
else if (meanNeighborhoodDefoliation < 0.8 && meanNeighborhoodDefoliation >= 0.6)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_60.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_60.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_60.Value2;
}
else if (meanNeighborhoodDefoliation < 0.6 && meanNeighborhoodDefoliation >= 0.4)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_40.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_40.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_40.Value2;
//.........这里部分代码省略.........
示例3: DefoliateCohort
//---------------------------------------------------------------------
// This method replaces the delegate method. It is called every year when
// ACT_ANPP is calculated, for each cohort. Therefore, this method is operating at
// an ANNUAL time step and separate from the normal extension time step.
public static double DefoliateCohort(ActiveSite site, ISpecies species, int cohortBiomass, int siteBiomass)
{
//PlugIn.ModelCore.UI.WriteLine(" Calculating insect defoliation...");
double totalDefoliation = 0.0; // Cohort total defoliation
foreach (IInsect insect in manyInsect)
{
if (!insect.ActiveOutbreak)
continue;
double defoliation = 0.0;
// Calculate biomass proportion of "protective" species
double protectBiomass = 0;
foreach (Landis.Library.BiomassCohorts.ISpeciesCohorts spp in SiteVars.Cohorts[site])
{
foreach (Landis.Library.BiomassCohorts.ICohort spp_cohort in spp)
{
if (insect.Susceptibility[spp_cohort.Species] == 4)
protectBiomass += spp_cohort.Biomass;
}
}
double protectProp = protectBiomass / (double)siteBiomass;
int suscIndex = insect.Susceptibility[species] - 1;
if (suscIndex < 0) suscIndex = 0;
if (suscIndex > 2) suscIndex = 2;
// Get the Neighborhood GrowthReduction Density
double meanNeighborhoodDefoliation = 0.0;
int neighborCnt = 0;
// If it is the first year, the neighborhood growth reduction
// will have been initialized in Outbreak.InitializeDefoliationPatches
if (insect.NeighborhoodDefoliation[site] > 0)
{
//PlugIn.ModelCore.UI.WriteLine(" First Year of Defoliation: Using initial patch defo={0:0.00}.", SiteVars.NeighborhoodDefoliation[site]);
meanNeighborhoodDefoliation = insect.NeighborhoodDefoliation[site];
}
// If not the first year, calculate mean neighborhood defoliation based on the
// previous year.
else
{
double sumNeighborhoodDefoliation = 0.0;
//PlugIn.ModelCore.UI.WriteLine("Look at the Neighbors... ");
foreach (RelativeLocation relativeLoc in insect.Neighbors)
{
Site neighbor = site.GetNeighbor(relativeLoc);
if (neighbor != null && neighbor.IsActive)
{
neighborCnt++;
// The previous year...
//if(SiteVars.DefoliationByYear[neighbor].ContainsKey(PlugIn.ModelCore.CurrentTime - 1))
// sumNeighborhoodDefoliation += SiteVars.DefoliationByYear[neighbor][PlugIn.ModelCore.CurrentTime - 1];
// BUG - This does not sum values in the nbrhd, just uses the last nbr value
//sumNeighborhoodDefoliation = Math.Min(1.0, insect.LastYearDefoliation[neighbor]);
// BUG FIX - BRM
sumNeighborhoodDefoliation += Math.Min(1.0, insect.LastYearDefoliation[neighbor]);
}
}
if (neighborCnt > 0.0)
meanNeighborhoodDefoliation = sumNeighborhoodDefoliation / (double)neighborCnt;
} //endif
if (meanNeighborhoodDefoliation > 1.0 || meanNeighborhoodDefoliation < 0)
{
PlugIn.ModelCore.UI.WriteLine("MeanNeighborhoodDefoliation={0}; NeighborCnt={1}.", meanNeighborhoodDefoliation, neighborCnt);
throw new ApplicationException("Error: Mean Neighborhood GrowthReduction is not between 1.0 and 0.0");
}
// First assume that there are no neighbors whatsoever:
DistributionType dist = insect.SusceptibleTable[suscIndex].Distribution_0.Name;
double value1 = insect.SusceptibleTable[suscIndex].Distribution_0.Value1;
double value2 = insect.SusceptibleTable[suscIndex].Distribution_0.Value2;
if (meanNeighborhoodDefoliation <= 1.0 && meanNeighborhoodDefoliation >= 0.8)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_80.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_80.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_80.Value2;
}
else if (meanNeighborhoodDefoliation < 0.8 && meanNeighborhoodDefoliation >= 0.6)
{
dist = insect.SusceptibleTable[suscIndex].Distribution_60.Name;
value1 = insect.SusceptibleTable[suscIndex].Distribution_60.Value1;
value2 = insect.SusceptibleTable[suscIndex].Distribution_60.Value2;
//.........这里部分代码省略.........
示例4: Algorithm
//---------------------------------------------------------------------
public static bool Algorithm(ISpecies species,
ActiveSite site)
{
if (species.EffectiveSeedDist == Universal)
return UniversalDispersal.Algorithm(species, site);
if (! Reproduction.SufficientResources(species, site)) {
if (isDebugEnabled)
log.DebugFormat("site {0}: {1} not seeded: insufficient light",
site.Location, species.Name);
return false;
}
if (! Reproduction.Establish(species, site)) {
if (isDebugEnabled)
log.DebugFormat("site {0}: {1} not seeded: cannot establish",
site.Location, species.Name);
return false;
}
if (Reproduction.MaturePresent(species, site)) {
if (isDebugEnabled)
log.DebugFormat("site {0}: {1} seeded on site",
site.Location, species.Name);
return true;
}
if (isDebugEnabled)
log.DebugFormat("site {0}: search neighbors for {1}",
site.Location, species.Name);
foreach (RelativeLocationWeighted reloc in Seeding.MaxSeedQuarterNeighborhood)
{
double distance = reloc.Weight;
int rRow = (int) reloc.Location.Row;
int rCol = (int) reloc.Location.Column;
double EffD = (double) species.EffectiveSeedDist;
double MaxD = (double) species.MaxSeedDist;
if(distance > MaxD + ((double) Model.Core.CellLength / 2.0 * 1.414))
return false; //Check no further
double dispersalProb = GetDispersalProbability(EffD, MaxD, distance);
//First check the Southeast quadrant:
if (dispersalProb > Model.Core.GenerateUniform())
{
Site neighbor = site.GetNeighbor(reloc.Location);
if (neighbor != null && neighbor.IsActive)
if (Reproduction.MaturePresent(species, (ActiveSite) neighbor))
return true;
}
//Next, check all other quadrants:
if (dispersalProb > Model.Core.GenerateUniform())
{
Site neighbor = site.GetNeighbor(new RelativeLocation(rRow * -1, rCol));
if(rCol == 0)
neighbor = site.GetNeighbor(new RelativeLocation(0, rRow));
if (neighbor != null && neighbor.IsActive)
if (Reproduction.MaturePresent(species, (ActiveSite) neighbor))
return true;
}
if (dispersalProb > Model.Core.GenerateUniform())
{
Site neighbor = site.GetNeighbor(new RelativeLocation(rRow * -1, rCol * -1));
if (neighbor != null && neighbor.IsActive)
if (Reproduction.MaturePresent(species, (ActiveSite) neighbor))
return true;
}
if (dispersalProb > Model.Core.GenerateUniform())
{
Site neighbor = site.GetNeighbor(new RelativeLocation(rRow, rCol * -1));
if(rCol == 0)
neighbor = site.GetNeighbor(new RelativeLocation(0, rRow * -1));
if (neighbor != null && neighbor.IsActive)
if (Reproduction.MaturePresent(species, (ActiveSite) neighbor))
return true;
}
} // end foreach relativelocation
return false;
}