public void OutputCurrentModelState(ModelGrid currentModelGrid, List <uint[]> cellIndices, uint currentTimestep)
{
GridCellCohortHandler TempCohorts;
GridCellStockHandler TempStocks;
string context;
string organism;
context = Convert.ToString(currentTimestep) + "\t";
foreach (uint[] cell in cellIndices)
{
context = Convert.ToString(currentTimestep) + "\t" +
Convert.ToString(currentModelGrid.GetCellLatitude(cell[0])) + "\t" +
Convert.ToString(currentModelGrid.GetCellLongitude(cell[1])) + "\t";
TempStocks = currentModelGrid.GetGridCellStocks(cell[0], cell[1]);
TempCohorts = currentModelGrid.GetGridCellCohorts(cell[0], cell[1]);
foreach (List <Stock> ListS in TempStocks)
{
foreach (Stock S in ListS)
{
organism = "-999\tS" + Convert.ToString(S.FunctionalGroupIndex) + "\t" +
"-999\t-999\t" + Convert.ToString(S.IndividualBodyMass) + "\t" +
Convert.ToString(S.TotalBiomass) + "\t" +
"-999\t-999\t-999\t-999\t-999\t-999";
SyncStateWriter.WriteLine(context + organism);
}
}
foreach (List <Cohort> ListC in TempCohorts)
{
foreach (Cohort C in ListC)
{
organism = Convert.ToString(C.CohortID) + "\t" +
Convert.ToString(C.FunctionalGroupIndex) + "\t" +
Convert.ToString(C.JuvenileMass) + "\t" +
Convert.ToString(C.AdultMass) + "\t" +
Convert.ToString(C.IndividualBodyMass) + "\t" +
Convert.ToString(C.CohortAbundance) + "\t" +
Convert.ToString(C.IndividualReproductivePotentialMass) + "\t" +
Convert.ToString(C.BirthTimeStep) + "\t" +
Convert.ToString(C.MaturityTimeStep) + "\t" +
Convert.ToString(C.LogOptimalPreyBodySizeRatio) + "\t" +
Convert.ToString(C.MaximumAchievedBodyMass) + "\t" +
Convert.ToString(C.TrophicIndex) + "\t" +
Convert.ToString(C.ProportionTimeActive);
SyncStateWriter.WriteLine(context + organism);
}
}
}
}
public void OutputCurrentModelState(ModelGrid currentModelGrid, List<uint[]> cellIndices, uint currentTimestep)
{
GridCellCohortHandler TempCohorts;
GridCellStockHandler TempStocks;
string context;
string organism;
context = Convert.ToString(currentTimestep) + "\t";
using (var StateWriter = File.AppendText(this.FileName))
{
foreach (uint[] cell in cellIndices)
{
context = Convert.ToString(currentTimestep) + "\t" +
Convert.ToString(currentModelGrid.GetCellLatitude(cell[0])) + "\t" +
Convert.ToString(currentModelGrid.GetCellLongitude(cell[1])) + "\t";
TempStocks = currentModelGrid.GetGridCellStocks(cell[0], cell[1]);
TempCohorts = currentModelGrid.GetGridCellCohorts(cell[0], cell[1]);
foreach (List<Stock> ListS in TempStocks)
{
foreach (Stock S in ListS)
{
organism = "-999\tS" + Convert.ToString(S.FunctionalGroupIndex) + "\t" +
"-999\t-999\t" + Convert.ToString(S.IndividualBodyMass) + "\t" +
Convert.ToString(S.TotalBiomass / S.IndividualBodyMass) + "\t" +
"-999\t-999\t-999\t-999\t-999\t-999";
StateWriter.WriteLine(context + organism);
}
}
foreach (List<Cohort> ListC in TempCohorts)
{
foreach (Cohort C in ListC)
{
#if true
var cohortIds = C.CohortID.Select(id => Convert.ToString(id));
organism = String.Join(";", cohortIds) + "\t" +
#else
organism = Convert.ToString(C.CohortID) + "\t" +
#endif
Convert.ToString(C.FunctionalGroupIndex) + "\t" +
Convert.ToString(C.JuvenileMass) + "\t" +
Convert.ToString(C.AdultMass) + "\t" +
Convert.ToString(C.IndividualBodyMass) + "\t" +
Convert.ToString(C.CohortAbundance) + "\t" +
Convert.ToString(C.BirthTimeStep) + "\t" +
Convert.ToString(C.MaturityTimeStep) + "\t" +
Convert.ToString(C.LogOptimalPreyBodySizeRatio) + "\t" +
Convert.ToString(C.MaximumAchievedBodyMass) + "\t" +
Convert.ToString(C.TrophicIndex) + "\t" +
Convert.ToString(C.ProportionTimeActive);
StateWriter.WriteLine(context + organism);
}
}
}
}
}
/// <summary>
/// Record dispersal events in the dispersal tracker
/// </summary>
/// <param name="inboundCohorts">The cohorts arriving in a grid cell in the current time step</param>
/// <param name="outboundCohorts">The cohorts leaving a ce ll in the current time step</param>
/// <param name="outboundCohortWeights">The body masses of cohorts leaving the cell in the current time step</param>
/// <param name="currentTimeStep">The current model time step</param>
/// <param name="madingleyModelGrid">The model grid</param>
public void RecordDispersal(uint[, ,] inboundCohorts, uint[, ,] outboundCohorts, List<double>[,] outboundCohortWeights, uint currentTimeStep, ModelGrid madingleyModelGrid)
{
// Loop through cells in the grid and write out the necessary data
for (uint ii = 0; ii < outboundCohorts.GetLength(0); ii++)
{
for (uint jj = 0; jj < outboundCohorts.GetLength(1); jj++)
{
double MeanOutboundCohortWeight = new double();
// Calculate the mean weight of outbound cohorts (ignoring abundance)
if (outboundCohortWeights[ii, jj].Count == 0)
{
MeanOutboundCohortWeight = 0.0;
}
else
{
MeanOutboundCohortWeight = outboundCohortWeights[ii, jj].Average();
}
// Calculate the mean weight of all cohorts (ignoring abundance)
List<double> TempList = new List<double>();
GridCellCohortHandler Temp1 = madingleyModelGrid.GetGridCellCohorts(ii, jj);
// Loop through functional groups
for (int kk = 0; kk < Temp1.Count; kk++)
{
// Loop through cohorts
for (int hh = 0; hh < Temp1[kk].Count;hh++)
{
// Add the cohort weight to the list
TempList.Add(Temp1[kk][hh].IndividualBodyMass);
}
}
// Calculate the mean weight
double MeanCohortWeight = new double();
if (TempList.Count == 0)
{
MeanCohortWeight = 0.0;
}
else
{
MeanCohortWeight = TempList.Average();
}
string newline = Convert.ToString(currentTimeStep) + '\t' + Convert.ToString(ii) + '\t' +
Convert.ToString(jj) + '\t' + Convert.ToString(madingleyModelGrid.GetCellLatitude(ii)) + '\t' +
Convert.ToString(madingleyModelGrid.GetCellLongitude(jj)) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 0]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 1]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 2]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 3]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 4]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 5]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 6]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 7]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 0]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 1]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 2]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 3]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 4]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 5]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 6]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 7]) + '\t' +
Convert.ToString(String.Format("{0:.000000}", MeanOutboundCohortWeight) + '\t' +
Convert.ToString(String.Format("{0:.000000}", MeanCohortWeight)));
SyncedDispersalWriter.WriteLine(newline);
}
}
}
public void OutputCurrentModelState(ModelGrid currentModelGrid, List <uint[]> cellIndices, uint currentTimestep)
{
GridCellCohortHandler TempCohorts;
GridCellStockHandler TempStocks;
string context;
string organism;
context = Convert.ToString(currentTimestep) + "\t";
using (var StateWriter = File.AppendText(this.FileName))
{
foreach (uint[] cell in cellIndices)
{
context = Convert.ToString(currentTimestep) + "\t" +
Convert.ToString(currentModelGrid.GetCellLatitude(cell[0])) + "\t" +
Convert.ToString(currentModelGrid.GetCellLongitude(cell[1])) + "\t";
TempStocks = currentModelGrid.GetGridCellStocks(cell[0], cell[1]);
TempCohorts = currentModelGrid.GetGridCellCohorts(cell[0], cell[1]);
foreach (List <Stock> ListS in TempStocks)
{
foreach (Stock S in ListS)
{
organism = "-999\tS" + Convert.ToString(S.FunctionalGroupIndex) + "\t" +
"-999\t-999\t" + Convert.ToString(S.IndividualBodyMass) + "\t" +
Convert.ToString(S.TotalBiomass / S.IndividualBodyMass) + "\t" +
"-999\t-999\t-999\t-999\t-999\t-999";
StateWriter.WriteLine(context + organism);
}
}
foreach (List <Cohort> ListC in TempCohorts)
{
foreach (Cohort C in ListC)
{
#if true
var cohortIds = C.CohortID.Select(id => Convert.ToString(id));
organism = String.Join(";", cohortIds) + "\t" +
#else
organism = Convert.ToString(C.CohortID) + "\t" +
#endif
Convert.ToString(C.FunctionalGroupIndex) + "\t" +
Convert.ToString(C.JuvenileMass) + "\t" +
Convert.ToString(C.AdultMass) + "\t" +
Convert.ToString(C.IndividualBodyMass) + "\t" +
Convert.ToString(C.CohortAbundance) + "\t" +
Convert.ToString(C.BirthTimeStep) + "\t" +
Convert.ToString(C.MaturityTimeStep) + "\t" +
Convert.ToString(C.LogOptimalPreyBodySizeRatio) + "\t" +
Convert.ToString(C.MaximumAchievedBodyMass) + "\t" +
Convert.ToString(C.TrophicIndex) + "\t" +
Convert.ToString(C.ProportionTimeActive);
StateWriter.WriteLine(context + organism);
}
}
}
}
}
/// <summary>
/// Record dispersal events in the dispersal tracker
/// </summary>
/// <param name="inboundCohorts">The cohorts arriving in a grid cell in the current time step</param>
/// <param name="outboundCohorts">The cohorts leaving a ce ll in the current time step</param>
/// <param name="outboundCohortWeights">The body masses of cohorts leaving the cell in the current time step</param>
/// <param name="currentTimeStep">The current model time step</param>
/// <param name="madingleyModelGrid">The model grid</param>
public void RecordDispersal(uint[, ,] inboundCohorts, uint[, ,] outboundCohorts, List <double>[,] outboundCohortWeights, uint currentTimeStep, ModelGrid madingleyModelGrid)
{
// Loop through cells in the grid and write out the necessary data
for (uint ii = 0; ii < outboundCohorts.GetLength(0); ii++)
{
for (uint jj = 0; jj < outboundCohorts.GetLength(1); jj++)
{
double MeanOutboundCohortWeight = new double();
// Calculate the mean weight of outbound cohorts (ignoring abundance)
if (outboundCohortWeights[ii, jj].Count == 0)
{
MeanOutboundCohortWeight = 0.0;
}
else
{
MeanOutboundCohortWeight = outboundCohortWeights[ii, jj].Average();
}
// Calculate the mean weight of all cohorts (ignoring abundance)
List <double> TempList = new List <double>();
GridCellCohortHandler Temp1 = madingleyModelGrid.GetGridCellCohorts(ii, jj);
// Loop through functional groups
for (int kk = 0; kk < Temp1.Count; kk++)
{
// Loop through cohorts
for (int hh = 0; hh < Temp1[kk].Count; hh++)
{
// Add the cohort weight to the list
TempList.Add(Temp1[kk][hh].IndividualBodyMass);
}
}
// Calculate the mean weight
double MeanCohortWeight = new double();
if (TempList.Count == 0)
{
MeanCohortWeight = 0.0;
}
else
{
MeanCohortWeight = TempList.Average();
}
string newline = Convert.ToString(currentTimeStep) + '\t' + Convert.ToString(ii) + '\t' +
Convert.ToString(jj) + '\t' + Convert.ToString(madingleyModelGrid.GetCellLatitude(ii)) + '\t' +
Convert.ToString(madingleyModelGrid.GetCellLongitude(jj)) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 0]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 1]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 2]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 3]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 4]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 5]) + '\t' +
Convert.ToString(outboundCohorts[ii, jj, 6]) + '\t' + Convert.ToString(outboundCohorts[ii, jj, 7]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 0]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 1]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 2]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 3]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 4]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 5]) + '\t' +
Convert.ToString(inboundCohorts[ii, jj, 6]) + '\t' + Convert.ToString(inboundCohorts[ii, jj, 7]) + '\t' +
Convert.ToString(String.Format("{0:.000000}", MeanOutboundCohortWeight) + '\t' +
Convert.ToString(String.Format("{0:.000000}", MeanCohortWeight)));
SyncedDispersalWriter.WriteLine(newline);
}
}
}
