MapXtreme2004 培训

1. MapXtreme2004培训 James.Liu

2. 内容 • MapXtreme2004概览 • 地图及图层管理 • 数据管理 • 数据查询 • 几何对象 • 专题图

3. 数据查询 • 目标 • 查询类 • 数据查询 • 选择集

4. 查询实例 • 搜索恐怖犯罪分子 • 查询超市方圆75公理以内的客户群 • 搜索某地500米以内的ATM机

5. 查询类

6. 查询 – 图元查询 Feature fNY = catalog.SearchForFeature("States", SearchInfoFactory.SearchWhere("state='NY'")); SearchInfo si = SearchInfoFactory.SearchWithinFeature(fNY, ContainsFilter.ContainsType.Centroid); IDynamicFeatureCollection dfc = catalog.Search("Cities", si) as IDynamicFeatureCollection; Console.Out.WriteLine("There are {0} cities whose centroid is within NewYork." dfc.Count);

7. 查询 - SQL查询 MIConnection connection = new MIConnection(); MICommand command = connection.CreateCommand(); command.CommandText = "Select Obj From States Where state = ‘NY’; FeatureGeometry nyGeom = command.ExecuteScalar() as FeatureGeometry; command.CommandText = "SELECT * FROM Cities WHERE Obj within @newyork"; command.Parameters.Add("@newyork", nyGeom); MIDataReader reader = command.ExecuteReader(); // 或者获取图元集合 IFeatureCollection fc = command.ExecuteFeatureCollection();

8. 查询 - 字符串比较 MapInfo.Data.SearchInfo si=MapInfo.Data.SearchInfoFactory.SearchWhere("Country like ‘ch%'"); MapInfo.Data.IResultSetFeatureCollection irfc = Session.Current.Catalog.Search("World", si); System.Data.DataTable miWorld = new System.Data.DataTable("WorldSearch"); for (int i = 0; i < irfc.Columns.Count; i++){ DataColumn dc=miWorld.Columns.Add(irfc.Columns[i].Alias); } foreach (Feature f in irfc){ DataRow dr = miWorld.NewRow(); for (int i = 0; i < irfc.Columns.Count; i++){ dr[i] = f[i].ToString();} miWorld.Rows.Add(dr);} dataGrid1.DataSource = miWorld;

9. 查询 – 数字比较 MapInfo.Data.SearchInfo si = MapInfo.Data.SearchInfoFactory.SearchWhere("TrainingRev >20000"); MapInfo.Data.IResultSetFeatureCollection irfc = Session.Current.Catalog.Search("World", si);

10. 查询 – 矩形区域查询 MapInfo.Data.SearchInfo si = MapInfo.Data.SearchInfoFactory.SearchWithinRect(mapControl1.Map.Bounds,mapControl1.Map.GetDisplayCoordSys(), ContainsType.Centroid); /* 指定需要的字段列表 si.QueryDefinition.Columns = new string[]{"*"};*/ MapInfo.Data.IResultSetFeatureCollection irfc = Session.Current.Catalog.Search("WorldCap", si);

11. 查询 – 圆域查询 MapInfo.Data.SearchInfo si = MapInfo.Data.SearchInfoFactory.SearchWithinDistance(new MapInfo.Geometry.DPoint(-73, 42), Session.Current.CoordSysFactory. CreateLongLat(MapInfo.Geometry.DatumID.NAD83),new MapInfo.Geometry.Distance(1600, MapInfo.Geometry.DistanceUnit.Kilometer),ContainsType.Centroid); si.QueryDefinition.Columns = new string[]{"*"}; MapInfo.Data.IResultSetFeatureCollection irfc = Session.Current.Catalog.Search("WorldCap", si);

12. 查询 – 字符串和地理查询 MapInfo.Data.SearchInfo si = MapInfo.Data.SearchInfoFactory.SearchWhere("TrainingRev >20000"); MapInfo.Data.SearchInfo si = MapInfo.Data.SearchInfoFactory.SearchWhere("Country = 'Germany'"); Feature f = Session.Current.Catalog.SearchForFeature("World", si); si = MapInfo.Data.SearchInfoFactory.SearchIntersectsFeature(f, IntersectType.Geometry); si.QueryDefinition.Columns = new string[]{"*"}; MIDataReader miReader = Session.Current.Catalog.SearchReader("World", si); MapInfo.Data.IResultSetFeatureCollection irfc = Session.Current.Catalog.Search("World", si);

13. 问题？