Exemple #1
0
    public Classifier(IServerContext mapContext, double [] values, int [] counts, String classifierType, int breaks)
    {
        m_classifier = (IClassifyGEN)mapContext.CreateObject("esriSystem." + classifierType);
        int b = breaks;

        m_classifier.Classify(values, counts, ref b);
        m_breaks = b;
    }
Exemple #2
0
        /// <summary>
        /// Returns breaks based on the given arguments.
        /// </summary>
        /// <param name="method">The classification method</param>
        /// <param name="featureClass">The featureClass with the data</param>
        /// <param name="field">The field to specify the data</param>
        /// <param name="numberOfClasses">The number of classes</param>
        /// <returns>An array of breaks. NOTE: the first value in the array is the smallest and not part of the breaks. Find more at: http://help.arcgis.com/en/sdk/10.0/arcobjects_net/componenthelp/index.html#/IClassifyGEN_Interface/0042000000m2000000/ </returns>
        public static double[] Classify(IClassifyGEN method, IFeatureClass featureClass, IField field, int numberOfClasses)
        {
            double[] data;
            int[]    freq;

            var numberClasses = numberOfClasses;

            Histogram(featureClass, field, out data, out freq);

            method.Classify(data, freq, numberOfClasses);

            return(method.ClassBreaks as double[]);
        }
        private void btRender_Click(object sender, EventArgs e)
        {
            int number = 0;

            if (cbColorRamp.SelectedIndex == -1)
            {
                if (lang == Language.Chinese)
                {
                    MessageBox.Show("请先选择一种色带");
                }
                else if (lang == Language.English)
                {
                    MessageBox.Show("Please choose a color ribbon first");
                }
                return;
            }
            try
            {
                number = int.Parse(txtNumber.Text);
                if (number <= 1)
                {
                    if (lang == Language.Chinese)
                    {
                        MessageBox.Show("类别数量只能为>1的正整数");
                    }
                    else if (lang == Language.English)
                    {
                        MessageBox.Show("The class number can only be a positive integer of >1");
                    }
                }
            }
            catch
            {
                if (lang == Language.Chinese)
                {
                    MessageBox.Show("类别数量只能为整数");
                }
                else if (lang == Language.English)
                {
                    MessageBox.Show("The class number can only be an integer");
                }
            }
            IRasterClassifyColorRampRenderer pRasterClassifyRenderer = new RasterClassifyColorRampRendererClass();
            IRasterRenderer          pRasterRenderer = pRasterClassifyRenderer as IRasterRenderer;
            IUniqueValues            uniVal          = new UniqueValuesClass();
            IRasterCalcUniqueValues2 calValues       = new RasterCalcUniqueValuesClass();

            calValues.MaxUniqueValueCount = 10000000;
            calValues.AddFromRaster(rasterLayer.Raster, cbSelectedBand.SelectedIndex, uniVal);
            object vValues, vFrequences;

            uniVal.GetHistogram(out vValues, out vFrequences);
            double[] doubleArray = (double[])vValues;
            int[]    longArray   = (int[])vFrequences;
            int      order       = SortTool.CheckInOrder(doubleArray, doubleArray.Length);

            if (order == 0)
            {
                SortTool.QuickSort3(doubleArray, 0, doubleArray.Length - 1, longArray);
            }
            else if (order == -1)
            {
                SortTool.Reverse(doubleArray, doubleArray.Length, longArray);
            }
            IClassifyGEN classify = GetMethod(cbMethod.Text);

            classify.Classify((double[])vValues, (int[])vFrequences, ref number);
            double[] classes = classify.ClassBreaks as double[];

            pRasterRenderer.Raster             = rasterLayer.Raster;
            pRasterClassifyRenderer.ClassCount = number;
            for (int i = 0; i < classes.Length; i++)
            {
                pRasterClassifyRenderer.set_Break(i, classes[i]);
            }
            pRasterRenderer.Update();

            IStyleGalleryItem galleryItem = symbol.GetItem(cbColorRamp.SelectedIndex);
            IColorRamp        colorRamp   = galleryItem.Item as IColorRamp;
            IFillSymbol       fill        = new SimpleFillSymbolClass() as IFillSymbol;
            int increase = colorRamp.Size / (number - 1);

            for (int i = 0; i < pRasterClassifyRenderer.ClassCount - 1; i++)
            {
                fill.Color = colorRamp.get_Color(i * increase);
                pRasterClassifyRenderer.set_Symbol(i, fill as ISymbol);
                pRasterClassifyRenderer.set_Label(i, pRasterClassifyRenderer.get_Break(i).ToString() + "-" + pRasterClassifyRenderer.get_Break(i + 1).ToString());
            }
            fill.Color = colorRamp.get_Color(colorRamp.Size - 1);
            pRasterClassifyRenderer.set_Symbol(pRasterClassifyRenderer.ClassCount - 1, fill as ISymbol);
            pRasterClassifyRenderer.set_Label(pRasterClassifyRenderer.ClassCount - 1, pRasterClassifyRenderer.get_Break(pRasterClassifyRenderer.ClassCount - 1).ToString() + "-" + pRasterClassifyRenderer.get_Break(pRasterClassifyRenderer.ClassCount).ToString());
            rasterLayer.Renderer = pRasterRenderer;
            succeed = true;
            this.Close();
        }