public ExperimentResults<int> AreaPercentage_HC_RangeQuery(
string dataFile, int order, double pcMin, double pcMax,
double inc, int trials)
{
HCQueryEvaluator qe = new HCQueryEvaluator(dataFile, order, CurveType.UpLeft);
ExperimentResults<int> result = new ExperimentResults<int>(
"range_hc_ap_" + order + '_' + pcMin + '_' + pcMax);
//Percentage
for (double p = pcMin; p <= pcMax; p += inc)
{
//Calculate the range for this percenage.
double area = TotalArea * 0.01 * p;
double kmRange = Math.Sqrt(area / Math.PI);
double degRange = kmRange / kmPerDeg;
result.AddCategory(p + " percent");
//For each experiment, run trial number of times
for (int i = 0; i < trials; i++)
{
result.AddResult(qe.RangeQuery(
qp.GetRandomQueryPoint(),
(float)degRange));
}
}
return result;
}
public ExperimentResults<int> AreaPercentage_MBR_RangeQuery(
string dataFile, int fanout, double pcMin, double pcMax,
double inc, int trials)
{
MbrQueryEvaluator qe = new MbrQueryEvaluator(dataFile, fanout);
ExperimentResults<int> result = new ExperimentResults<int>(
"range_mbr_ap_" + fanout + '_' + pcMin + '_' + pcMax);
//Percentage
for (double p = pcMin; p <= pcMax; p += inc)
{
//Calculate the range for this percenage.
double area = TotalArea * 0.01 * p;
double kmRange = Math.Sqrt(area / Math.PI);
double degRange = kmRange / kmPerDeg;
result.AddCategory(p + " percent");
//For each experiment, run trial number of times
for (int i = 0; i < trials; i++)
{
result.AddResult(qe.RangeQuery(
qp.GetRandomQueryPoint(),
(float)degRange));
}
}
Console.WriteLine("Query Done.");
return result;
}
public ExperimentResults<int> RTreeKnnQuery(
string dataFile, int fanout, int min, int max,
int inc, int trials)
{
RTreeQueryEvaluator qe = new RTreeQueryEvaluator(dataFile, fanout);
ExperimentResults<int> result = new ExperimentResults<int>(
"knn_rtree_" + fanout + '_' + min + '_' + max);
for (int k = 1; k <= 10; k+=inc)
{
result.AddCategory(k + " NN");
//For each experiment, run trial number of times
for (int i = 0; i < trials; i++)
{
result.AddResult(qe.KnnQuery(
qp.GetRandomQueryPoint(),
k));
}
}
return result;
}
public ExperimentResults<int> HCKnnQuery(
string dataFile, int order, int min, int max,
int inc, int trials)
{
HCQueryEvaluator qe = new HCQueryEvaluator(dataFile, order, CurveType.UpLeft);
ExperimentResults<int> result = new ExperimentResults<int>(
"knn_hc_" + order + '_' + min + '_' + max);
//Area
for (int k = 1; k <= 10; k+=inc)
{
result.AddCategory(k + " NN");
//For each experiment, run trial number of times
for (int i = 0; i < trials; i++)
{
result.AddResult(qe.KnnQuery(
qp.GetRandomQueryPoint(),
k));
}
}
return result;
}
public ExperimentResults<int> AreaSqMile_RTree_RangeQuery(
string dataFile, int fanout, double min, double max,
double inc, int trials)
{
RTreeQueryEvaluator qe = new RTreeQueryEvaluator(dataFile, fanout);
ExperimentResults<int> result = new ExperimentResults<int>(
"range_rtree_sqmi_" + fanout + '_' + min + '_' + max);
//Percentage
for (double a = min; a <= max; a += inc)
{
//Calculate the range for this percenage.
double miRange = Math.Sqrt(a / Math.PI);
double degRange = miRange / 69;
result.AddCategory(a + " Sq Mi");
//For each experiment, run trial number of times
for (int i = 0; i < trials; i++)
{
result.AddResult(qe.RangeQuery(
qp.GetRandomQueryPoint(),
(float)degRange));
}
}
return result;
}
