wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

免費(fèi)學(xué)習(xí)推薦：python視頻教程wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

1、疊加分析wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??疊加分析操作：

??plot顏色：‘r’ 紅色， ‘g’ 綠色， ‘b’ 藍(lán)色， ‘c’ 青色， ‘y’ 黃色， ‘m’ 品紅， ‘k’ 黑色， ‘w’ 白色。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??新奧爾良城市邊界、水體和濕地的簡(jiǎn)單地圖：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??1.新奧爾良城市沼澤區(qū)域分析：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

import osfrom osgeo import ogrfrom ospybook.vectorplotter import VectorPlotter data_dir = r'E:Google chromeDownloadgis with pythonosgeopy data'# 得到新奧爾良附近的一個(gè)特定的沼澤特征vp = VectorPlotter(True)water_ds = ogr.Open(os.path.join(data_dir, 'US', 'wtrbdyp010.shp'))water_lyr = water_ds.GetLayer(0)water_lyr.SetAttributeFilter('WaterbdyID = 1011327')marsh_feat = water_lyr.GetNextFeature()marsh_geom = marsh_feat.geometry().Clone()vp.plot(marsh_geom, 'c')# 獲得新奧爾良邊城市邊界nola_ds = ogr.Open(os.path.join(data_dir, 'Louisiana', 'NOLA.shp'))nola_lyr = nola_ds.GetLayer(0)nola_feat = nola_lyr.GetNextFeature()nola_geom = nola_feat.geometry().Clone()vp.plot(nola_geom, fill=False, ec='red', ls='dashed', lw=3)# 相交沼澤和邊界多邊形得到沼澤的部分# 位于新奧爾良城市邊界內(nèi)intersection = marsh_geom.Intersection(nola_geom)vp.plot(intersection, 'yellow', hatch='x')vp.draw()

??2.計(jì)算城市的濕地面積：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

# 獲得城市內(nèi)的濕地多邊形# 將多邊形的面積進(jìn)行累加# 除以城市面積water_lyr.SetAttributeFilter("Feature != 'Lake'") # 限定對(duì)象water_lyr.SetSpatialFilter(nola_geom)wetlands_area = 0# 累加多邊形面積for feat in water_lyr: intersect = feat.geometry().Intersection(nola_geom) wetlands_area += intersect.GetArea()pcnt = wetlands_area / nola_geom.GetArea()print('{:.1%} of New Orleans is wetland'.format(pcnt))28.7% of New Orleans is wetland

??注：通過空間過濾和屬性過濾，將不必要的要素過濾，這樣可以顯著減少處理時(shí)間。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??3.兩圖層求交：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

# 將湖泊數(shù)據(jù)排除# 在內(nèi)存中創(chuàng)建一個(gè)臨時(shí)圖層# 將圖層相交，將結(jié)果儲(chǔ)存在臨時(shí)圖層中water_lyr.SetAttributeFilter("Feature != 'Lake'")water_lyr.SetSpatialFilter(nola_geom)wetlands_area = 0for feat in water_lyr: intersect = feat.geometry().Intersection(nola_geom) # 求交 wetlands_area += intersect.GetArea()pcnt = wetlands_area / nola_geom.GetArea()print('{:.1%} of New Orleans is wetland'.format(pcnt))water_lyr.SetSpatialFilter(None)water_lyr.SetAttributeFilter("Feature != 'Lake'")memory_driver = ogr.GetDriverByName('Memory')temp_ds = memory_driver.CreateDataSource('temp')temp_lyr = temp_ds.CreateLayer('temp')nola_lyr.Intersection(water_lyr, temp_lyr)sql = 'SELECT SUM(OGR_GEOM_AREA) AS area FROM temp'lyr = temp_ds.ExecuteSQL(sql)pcnt = lyr.GetFeature(0).GetField('area') / nola_geom.GetArea()print('{:.1%} of New Orleans is wetland'.format(pcnt))28.7% of New Orleans is wetland

2、鄰近分析（確定要素間的距離）wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??OGR包含兩個(gè)鄰近分析工具：測(cè)量幾何要素的距離；創(chuàng)建緩沖區(qū)。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??1.確定美國(guó)有多少城市位于火山10英里（1英里=1609.3米）的范圍之內(nèi)。確定火山附近城市數(shù)量的存在問題的方法：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

from osgeo import ogr shp_ds = ogr.Open(r'E:Google chromeDownloadgis with pythonosgeopy dataUS')volcano_lyr = shp_ds.GetLayer('us_volcanos_albers')cities_lyr = shp_ds.GetLayer('cities_albers')# 在內(nèi)存中創(chuàng)建一個(gè)臨時(shí)層來存儲(chǔ)緩沖區(qū)memory_driver = ogr.GetDriverByName('memory')memory_ds = memory_driver.CreateDataSource('temp')buff_lyr = memory_ds.CreateLayer('buffer')buff_feat = ogr.Feature(buff_lyr.GetLayerDefn())# 緩緩沖每一個(gè)火山點(diǎn)，將結(jié)果添加到緩沖圖層中for volcano_feat in volcano_lyr: buff_geom = volcano_feat.geometry().Buffer(16000) tmp = buff_feat.SetGeometry(buff_geom) tmp = buff_lyr.CreateFeature(buff_feat)# 將城市圖層與火山緩沖區(qū)圖層相交result_lyr = memory_ds.CreateLayer('result')buff_lyr.Intersection(cities_lyr, result_lyr)print('Cities: {}'.format(result_lyr.GetFeatureCount())) Cities: 83

??2.一個(gè)更好地確定火山附近城市數(shù)量方法：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

from osgeo import ogr shp_ds = ogr.Open(r'E:Google chromeDownloadgis with pythonosgeopy dataUS')volcano_lyr = shp_ds.GetLayer('us_volcanos_albers')cities_lyr = shp_ds.GetLayer('cities_albers')# 將緩沖區(qū)添加到一個(gè)復(fù)合多邊形，而不是一個(gè)臨時(shí)圖層multipoly = ogr.Geometry(ogr.wkbMultiPolygon)for volcano_feat in volcano_lyr: buff_geom = volcano_feat.geometry().Buffer(16000) multipoly.AddGeometry(buff_geom)# 將所有的緩沖區(qū)聯(lián)合在一起得到一個(gè)可以使用的多邊形作為空間過濾器cities_lyr.SetSpatialFilter(multipoly.UnionCascaded())print('Cities: {}'.format(cities_lyr.GetFeatureCount()))Cities: 78

注：UnionCascaded()：有效地將所有的多邊形合并成一個(gè)復(fù)合多邊形
??第一個(gè)例子中，每當(dāng)城市位于火山緩沖區(qū)內(nèi)，就會(huì)復(fù)制到輸出結(jié)果中。說明一個(gè)城市位于多個(gè)16000米緩沖區(qū)內(nèi)，將被列入不止一次。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

??3.計(jì)算特定的城市與火山的距離：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

import osfrom osgeo import ogrfrom ospybook.vectorplotter import VectorPlotter data_dir = r'E:Google chromeDownloadgis with pythonosgeopy data'shp_ds = ogr.Open(os.path.join(data_dir, 'US'))volcano_lyr = shp_ds.GetLayer('us_volcanos_albers')cities_lyr = shp_ds.GetLayer('cities_albers')# 西雅圖到雷尼爾山的距離volcano_lyr.SetAttributeFilter("NAME = 'Rainier'")feat = volcano_lyr.GetNextFeature()rainier = feat.geometry().Clone()cities_lyr.SetSpatialFilter(None)cities_lyr.SetAttributeFilter("NAME = 'Seattle'")feat = cities_lyr.GetNextFeature()seattle = feat.geometry().Clone()meters = round(rainier.Distance(seattle))miles = meters / 1600print('{} meters ({} miles)'.format(meters, miles))92656 meters (57.91 miles)

??3. 用2.5D幾何對(duì)象，表示兩點(diǎn)之間的距離：wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

# 2Dpt1_2d = ogr.Geometry(ogr.wkbPoint)pt1_2d.AddPoint(15, 15)pt2_2d = ogr.Geometry(ogr.wkbPoint)pt2_2d.AddPoint(15, 19)print(pt1_2d.Distance(pt2_2d))4.0# 2.5Dpt1_25d = ogr.Geometry(ogr.wkbPoint25D)pt1_25d.AddPoint(15, 15, 0)pt2_25d = ogr.Geometry(ogr.wkbPoint25D)pt2_25d.AddPoint(15, 19, 3)print(pt1_25d.Distance(pt2_25d))4.0

??將高程Z值考慮進(jìn)去，真正的距離是5。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

# 用2D計(jì)算面積ring = ogr.Geometry(ogr.wkbLinearRing)ring.AddPoint(10, 10)ring.AddPoint(10, 20)ring.AddPoint(20, 20)ring.AddPoint(20, 10)poly_2d = ogr.Geometry(ogr.wkbPolygon)poly_2d.AddGeometry(ring)poly_2d.CloseRings()print(poly_2d.GetArea())100.0# 用2.5D計(jì)算面積ring = ogr.Geometry(ogr.wkbLinearRing)ring.AddPoint(10, 10, 0)ring.AddPoint(10, 20, 0)ring.AddPoint(20, 20, 10)ring.AddPoint(20, 10, 10)poly_25d = ogr.Geometry(ogr.wkbPolygon25D)poly_25d.AddGeometry(ring)poly_25d.CloseRings()print(poly_25d.GetArea())100.0

??2.5D的面積實(shí)際上是141。wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

# 疊加操作同樣忽略了高程值Zprint(poly_2d.Contains(pt1_2d))print(poly_25d.Contains(pt1_2d))True True

相關(guān)免費(fèi)學(xué)習(xí)推薦：python教程（視頻）wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)

以上就是Python地理數(shù)據(jù)處理之分析使用GR進(jìn)行矢量的詳細(xì)內(nèi)容，更多請(qǐng)關(guān)注少兒編程網(wǎng)其它相關(guān)文章！wkz少兒編程網(wǎng)-Scratch_Python_教程_免費(fèi)兒童編程學(xué)習(xí)平臺(tái)