/// <summary>
/// Initializes a new instance of the <see cref="PointScheme"/> class.
/// </summary>
public PointScheme()
{
Configure();
PointCategory def = new PointCategory();
Categories.Add(def);
}
/// <summary>
/// Initializes a new instance of the <see cref="PointScheme"/> class.
/// </summary>
/// <param name="extent">The geographic point size for the default will be 1/100th the specified extent.</param>
public PointScheme(IRectangle extent)
{
Configure();
PointCategory def = new PointCategory(extent);
Categories.Add(def);
}
/// <summary>
/// Uses the settings on this scheme to create a random category.
/// </summary>
/// <param name="filterExpression">Used as filterExpression and LegendText in the resulting category.</param>
/// <returns>A new IFeatureCategory.</returns>
public override IFeatureCategory CreateRandomCategory(string filterExpression)
{
PointCategory result = new PointCategory();
Color fillColor = CreateRandomColor();
result.Symbolizer = new PointSymbolizer(fillColor, PointShape.Ellipse, 10);
result.FilterExpression = filterExpression;
result.LegendText = filterExpression;
return(result);
}
/// <summary>
/// Calculates the unique colors as a scheme
/// </summary>
/// <param name="fs">The featureset with the data Table definition</param>
/// <param name="uniqueField">The unique field</param>
public Hashtable GenerateUniqueColors(IFeatureSet fs, string uniqueField)
{
Hashtable result = new Hashtable(); // a hashtable of colors
DataTable dt = fs.DataTable;
ArrayList vals = new ArrayList();
int i = 0;
foreach (DataRow row in dt.Rows)
{
if (uniqueField != "FID")
{
if (vals.Contains(row[uniqueField]) == false)
{
vals.Add(row[uniqueField]);
}
}
else
{
vals.Add(i);
i++;
}
}
Random rnd = new Random();
foreach (object item in vals)
{
Color c = rnd.NextColor();
while (result.ContainsKey(c))
{
c = rnd.NextColor();
}
PointCategory cat = new PointCategory(c, PointShape.Rectangle, 10);
string flt = "[" + uniqueField + "] = ";
if (uniqueField == "FID")
{
flt += item;
}
else
{
if (dt.Columns[uniqueField].DataType == typeof(string))
{
flt += "'" + item + "'";
}
else
{
flt += item.ToString();
}
}
cat.FilterExpression = flt;
Categories.Add(cat);
result.Add(c, item);
}
return(result);
}
private PointScheme ColorBox(IEnumerable <Color> colors)
{
PointScheme ps = new PointScheme();
ps.Categories.Clear();
foreach (Color color in colors)
{
IColorable c = _template as IColorable;
if (c != null)
{
c.Color = color;
}
PointCategory pc = new PointCategory(_template);
ps.Categories.Add(pc);
}
ps.Categories[0].FilterExpression = "[" + _classificationField + "] < ";
return(ps);
}
private Bitmap CreateDefaultSymbol(Color color, int symbolSize)
{
double scaleSize = 1;
Size2D size = new Size2D(symbolSize, symbolSize);
Bitmap normalSymbol = new Bitmap((int)(size.Width * scaleSize) + 1, (int)(size.Height * scaleSize) + 1);
Graphics bg = Graphics.FromImage(normalSymbol);
Random rnd = new Random();
Color randomColor = Color.FromArgb(rnd.Next(0, 255), rnd.Next(0, 255), rnd.Next(0, 255));
PointSymbolizer sym = new PointSymbolizer(randomColor, DotSpatial.Symbology.PointShape.Rectangle, 4);
PointCategory category = new PointCategory(sym);
bg.SmoothingMode = category.Symbolizer.Smoothing ? SmoothingMode.AntiAlias : SmoothingMode.None;
Matrix trans = bg.Transform;
trans.Translate(((float)(size.Width * scaleSize) / 2 - 1), (float)(size.Height * scaleSize) / 2 - 1);
bg.Transform = trans;
category.Symbolizer.Draw(bg, 1);
return normalSymbol;
}
private PointScheme ColorBox(IEnumerable<Color> colors)
{
PointScheme ps = new PointScheme();
ps.Categories.Clear();
foreach (Color color in colors)
{
IColorable c = _template as IColorable;
if (c != null)
{
c.Color = color;
}
PointCategory pc = new PointCategory(_template);
ps.Categories.Add(pc);
}
ps.Categories[0].FilterExpression = "[" + _classificationField + "] < ";
return ps;
}
/// <summary>
/// creates a new instance of the PointScheme, but assigns the specified symbolizer
/// as the symbolizer to use on a single default category.
/// </summary>
/// <param name="extent">The geographic point size for the default will be 1/100th the specified extent</param>
public PointScheme(IRectangle extent)
{
Configure();
PointCategory def = new PointCategory(extent);
Categories.Add(def);
}
/// <summary>
/// Creates a new instance of PointScheme with no categories added to the list yet.
/// </summary>
public PointScheme()
{
Configure();
PointCategory def = new PointCategory();
Categories.Add(def);
}
/// <summary>
/// Calculates the unique colors as a scheme
/// </summary>
/// <param name="fs">The featureset with the data Table definition</param>
/// <param name="uniqueField">The unique field</param>
public Hashtable GenerateUniqueColors(IFeatureSet fs, string uniqueField)
{
Hashtable result = new Hashtable(); // a hashtable of colors
DataTable dt = fs.DataTable;
ArrayList vals = new ArrayList();
int i = 0;
foreach (DataRow row in dt.Rows)
{
if (uniqueField != "FID")
{
if (vals.Contains(row[uniqueField]) == false)
{
vals.Add(row[uniqueField]);
}
}
else
{
vals.Add(i);
i++;
}
}
Random rnd = new Random();
foreach (object item in vals)
{
Color c = rnd.NextColor();
while (result.ContainsKey(c))
{
c = rnd.NextColor();
}
PointCategory cat = new PointCategory(c, PointShape.Rectangle, 10);
string flt = "[" + uniqueField + "] = ";
if (uniqueField == "FID")
{
flt += item;
}
else
{
if (dt.Columns[uniqueField].DataType == typeof(string))
{
flt += "'" + item + "'";
}
else
{
flt += item.ToString();
}
}
cat.FilterExpression = flt;
Categories.Add(cat);
result.Add(c, item);
}
return result;
}
/// <summary>
/// Uses the settings on this scheme to create a random category.
/// </summary>
/// <returns>A new IFeatureCategory</returns>
public override IFeatureCategory CreateRandomCategory(string filterExpression)
{
PointCategory result = new PointCategory();
Color fillColor = CreateRandomColor();
result.Symbolizer = new PointSymbolizer(fillColor, PointShape.Ellipse, 10);
result.FilterExpression = filterExpression;
result.LegendText = filterExpression;
return result;
}