//**finder获取对应数据格式的数据源，栅格数据，矢量数据在图层上是一样的，可以叠加
              //栅格数据没有feature,只有四至等描述，直接渲染
              AbstractGridFormat format = GridFormatFinder.findFormat( rasterFile );
              reader = format.getReader(rasterFile);
              
               FileDataStore dataStore = FileDataStoreFinder.getDataStore(shpFile);
              SimpleFeatureSource shapefileSource = dataStore
                .getFeatureSource();
              
              除了栅格数据只能显示，无法解析成内部要素几何，shp等矢量数据都能自动映射到simplefeature
              cvs需要自己一行一行读取构造成数据（features）
              SimpleFeatureIterator ls = shapefileSource.getFeatures().features();
        if(ls.hasNext()){
            SimpleFeature l =  ls.next();
        }
        
        dataStore对于客户端就相当于数据库:
        1，读取数据1，获取数据源，获取数据集合，获取数据迭代器
        2，写入数据，数据源开启事务，加入数据集合，数据加入数据，提交事务，就往数据源写入了对应数据源的数据
        Transaction transaction = new DefaultTransaction("create");

        String typeName = newDataStore.getTypeNames()[0];
        SimpleFeatureSource featureSource = newDataStore.getFeatureSource(typeName);
//        SimpleFeatureType SHAPE_TYPE = featureSource.getSchema();
        SimpleFeatureType SHAPE_TYPE = createFeatureType();
         SimpleFeatureStore featureStore = (SimpleFeatureStore) featureSource;
            /*
             * SimpleFeatureStore has a method to add features from a
             * SimpleFeatureCollection object, so we use the ListFeatureCollection
             * class to wrap our list of features.
             */
            SimpleFeatureCollection collection = new ListFeatureCollection(TYPE, features);
            featureStore.setTransaction(transaction);
            try {
                featureStore.addFeatures(collection);
                transaction.commit();
            } catch (Exception problem) {
                problem.printStackTrace();
                transaction.rollback();
            } finally {
                transaction.close();
            }
            System.exit(0); // success!
        } else {
            System.out.println(typeName + " does not support read/write access");
            System.exit(1);
        }
              
        3,查询在获取数据的时候传入条件过滤器即可，点击选中就是点击点的小范围搜索
         /*
         * 创建过滤器以选择与边界框相交的要素
         */
        Filter filter = ff.intersects(ff.property(geometryAttributeName), ff.literal(bbox));

        /*
         * 使用过滤器识别选定的特征
         */
            SimpleFeatureCollection selectedFeatures = featureSource.getFeatures(filter);      
              
              
               Filter filter = CQL.toFilter(text.getText());

        Query query = new Query(typeName, filter, name);

        SimpleFeatureCollection features = source.getFeatures(query);