在ArcGIS中能够很容易进行土规和城规的比对,这里,利用Arcpy和Geopandas来进行多规比对。python
# encoding: utf-8 # [@Author](https://my.oschina.net/arthor) : hanqi
数据预处理
导入相关模块
## 导入相关模块 import arcpy from arcpy import env import numpy as np import pandas as pd import geopandas as gpd import matplotlib.pyplot as plt
防止乱码
plt.rcParams['font.family'] = ['sans-serif'] plt.rcParams['font.sans-serif'] = ['SimHei']#替换sans-serif字体为黑体 plt.rcParams['axes.unicode_minus'] = False # 解决坐标轴负数的负号显示问题
设置arcpy工做环境和路径
env.workspace = r"F:\ArcGIS\多规对比" path = "F:\ArcGIS\多规对比\图斑对比.gdb" tg_path = "F:\ArcGIS\多规对比\图斑对比.gdb\土规用地" cg_path = "F:\ArcGIS\多规对比\图斑对比.gdb\城规用地"
土规和城规用地分类
读取数据
land = gpd.GeoDataFrame.from_file(path,layer='土规用地') city = gpd.GeoDataFrame.from_file(path,layer='城规用地')
land.head() city.head()
arcpy数据处理
## 删除字段 ## 由于我作过一遍,因此先删除 arcpy.DeleteField_management(tg_path, "tg_yongdi") arcpy.DeleteField_management(cg_path, "cg_yongdi")
## 添加字段 fieldName1 = "tg_yongdi" fieldLength = 30 # Execute AddField twice for two new fields arcpy.AddField_management(tg_path, fieldName1, "TEXT", field_length=fieldLength) fieldName2 = "cg_yongdi" fieldLength = 30 arcpy.AddField_management(cg_path, fieldName2, "TEXT", field_length=fieldLength)
## 字段计算器 ## 城规字段计算器 ## 只有一个水域不是建设用地 # Set local variables inTable = cg_path fieldName = "cg_yongdi" expression = "getClass((!cg_fenlei!))" codeblock = """ def getClass(cg_fenlei): if cg_fenlei in "E11": return "城规_非建设用地" else: return "城规_建设用地" """ # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
## 土规字段计算器 # Set local variables inTable = tg_path fieldName = "tg_yongdi" expression = "getClass((!Layer!))" codeblock = """ def getClass(Layer): if Layer in ("TG-通常农田", "TG-基本农田", "TG-林地", "TG-水系", "TG-林地"): return "土规_非建设用地" if Layer is None: return None else: return "土规_建设用地" """ # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
结果就是上图,土规和城规的用地分为两类了,这里不作演示。express
多规比对
## 联合工具 inFeatures = [cg_path, tg_path] outFeatures = outFeatures = path + "\\多规比对" arcpy.Union_analysis (inFeatures, outFeatures, "ALL")
dg_path = "F:\ArcGIS\多归对比\图斑对比.gdb\多规比对" dg = gpd.GeoDataFrame.from_file(path, layer="多规比对") dg.head()
# Set local variables ## 多规字段计算器 inTable = dg_path fieldName = "cg_yongdi" expression = "getClass3((!cg_yongdi!))" codeblock = """ def getClass3(cg_yongdi): if cg_yongdi is None: return "城规_非建设用地" else: return cg_yongdi """ # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
## 删除字段 arcpy.DeleteField_management(dg_path, ["FID_城规用地","Layer","cg_fenlei","FID_土规用地"])
## 添加合并字段 fieldName3 = "dg_hebing" fieldLength = 30 # Execute AddField twice for two new fields arcpy.AddField_management(dg_path, fieldName3, "TEXT", field_length=fieldLength)
## 城规字段合并 # Set local variables inTable = dg_path fieldName = "dg_hebing" expression = "!tg_yongdi!+'_'+!cg_yongdi!" # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3")
dg = gpd.GeoDataFrame.from_file(path, layer="多规比对") dg_path = path+'\\多规比对' dg
冲突对比
## 添加索引 rec = 0 inTable = dg_path fieldName = "Identify" expression = "autoIncrement()" codeblock = """ def autoIncrement(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec """ # Execute AddField arcpy.AddField_management(inTable, fieldName, "LONG") # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg = gpd.GeoDataFrame.from_file(path, layer="多规比对") dg.head()
## 按属性分割 # Set local variables in_feature_class = dg_path target_workspace = path fields = ['dg_hebing'] arcpy.SplitByAttributes_analysis(in_feature_class, target_workspace, fields)
cgfjs_tgjs = gpd.GeoDataFrame.from_file(path, layer="土规_非建设用地_城规_建设用地") cgfjs_tgjs.plot()
cgjs_tgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地") cgjs_tgfjs.plot()
区划调整
土规非建设用地_城规建设用地调整
## 定义路径 tgfjs_cgjs_path = path+"\\土规_非建设用地_城规_建设用地"
# Set local variables ## 土地面积大于10000依城规 inTable = tgfjs_cgjs_path fieldName = "gz_1" expression = "getClass((!Shape_Area!))" codeblock = """ def getClass(Shape_Area): if Shape_Area>10000: return "依城规用地" else: return "依土规用地" """ # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
土规建设用地_城规非建设用地调整
## 限制1000之内不隐藏 pd.set_option('max_columns',1000) pd.set_option('max_row',1000)
tgjs_cgfjs_path = path+"\\土规_建设用地_城规_非建设用地" tgjs_cgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地") tgjs_cgfjs.sort_values('Shape_Area',ascending=False) ##观察面积
# Set local variables ## 土地面积大于10000以土规 inTable = tgjs_cgfjs fieldName = "gz_2" expression = "getClass5((!Shape_Area!))" codeblock = """ def getClass5(Shape_Area): if Shape_Area>10000: return "依土规用地" else: return "依城规用地" """ # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
tgjs_cgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地") tgjs_cgfjs.plot(column='gz_2',legend=True)
数据链接
layerName = dg_path joinTable = cgjs_tgfjs_path joinField = "Identify" # Join the feature layer to a table arcpy.AddJoin_management(layerName, joinField, joinTable, joinField)
layerName = '多规比对_Layer1' joinTable = cgfjs_tgjs_path joinField = "Identify" # Join the feature layer to a table arcpy.AddJoin_management(layerName, joinField, joinTable, joinField)
## 导出数据 # 输入 in_features = ['多规比对_Layer1'] # 输出 out_location = path # 执行 FeatureClassToGeodatabase arcpy.FeatureClassToGeodatabase_conversion(in_features, out_location)
dg_3 = gpd.GeoDataFrame.from_file(path, layer="多规比对_Layer3") dg_3.head()
## 重命名 # Set local variables in_data = "多规比对_Layer1" out_data = "多规比对_最终" # Execute Rename arcpy.Rename_management(in_data, out_data)
# Set local variables inTable = path+"\\多规对比_最终" fieldName = "gz_all" expression = "getClass5(!土规_非建设用地_城规_建设用地_gz_1! , !土规_建设用地_城规_非建设用地_gz_2!)" ## 不能用别名 codeblock = """ def getClass6(gz_1,gz_2): if gz_1 is not None: return gz_1 if gz_2 is not None: return gz_2 else: return "无冲突" """ arcpy.AddField_management(inTable, fieldName, "TEXT", 30) # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg_zz = gpd.GeoDataFrame.from_file(path, layer="多规比对_最终") dg_zz.plot(column='gz_all',legend=True)
用地断定
就是根据冲突比对来返回想对呀的地块用地,这里我用字段计算pyhton作不出来,用vb能够,可是能够用pandas来处理。 vb脚本工具
if [gz_all] = "依土规用地" then value = [多规比对_tg_yongdi] if [gz_all] = "依成规用地" then value = [多规比对_cg_yongdi] if [gz_all] = "无冲突" then value = [多规比对_cg_yongdi] end if
value
pandas字体
## 最终用地 for i in dg_zz.index: if dg_zz.at[i,'gz_all']=="无冲突": dg_zz["最终用地"].at[i] = dg_zz["多规比对_tg_yongdi"].at[i] if dg_zz.at[i,'gz_all'] == "依城规用地": dg_zz["最终用地"].at[i] = dg_zz["多规比对_cg_yongdi"].at[i] else: dg_zz["最终用地"].at[i] = dg_zz["多规比对_tg_yongdi"].at[i] dg_zz.head()
## 分列 dg_zz["用地"] = dg_zz['最终用地'].str.split('_',expand=True)[1] dg_zz.head() #dg_zz["用地"] = s.split('_')[1]
结果,这里我进行过不少次计算了 spa
## 写入excel文件 dg_zz.to_excel("成果.xlsx",index=None,encoding="utf8")
而后链接回shp文件就好了,有些ArcGIS不支持xlsx,保存的时候能够注意点,个人能够.net
字段计算器分列excel
## 分割字段 # Set local variables inTable = path + "\\多规比对_最终" fieldName = "yongdi" expression = "getClass6(!zz_yongdi!)" ## 不能用别名 codeblock = """ def getClass6(zz_yongdi): value = zz_yongdi.split('_')[1] return value """ arcpy.AddField_management(inTable, fieldName, "TEXT", 30) # Execute CalculateField arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg_zz = gpd.GeoDataFrame.from_file(path, layer="多规比对_最终") dg_zz.plot(column='zz_yongdi',legend=True)
成果出图
fig, ax = plt.subplots(figsize=(10, 10)) ax = dg_zz.plot(ax=ax,column='yongdi',cmap='Set1',legend=True,legend_kwds={ 'loc': 'lower left', 'title': '图例', 'shadow': True}) plt.suptitle('土地利用建设分布图', fontsize=24) # 添加最高级别标题 plt.tight_layout(pad=4.5) # 调整不一样标题之间间距 plt.grid(True, alpha=0.3) fig.savefig('土地利用建设分布图.png', dpi=300)
fig, ax = plt.subplots(figsize=(10, 10)) ax = dg_zz.plot(ax=ax,column='gz_all',cmap='tab10',legend=True,legend_kwds={ 'loc': 'lower left', 'title': '图例', 'shadow': True}) plt.suptitle('规划冲突调整图', fontsize=24) # 添加最高级别标题 plt.tight_layout(pad=4.5) # 调整不一样标题之间间距 plt.grid(True, alpha=0.3) fig.savefig('规划冲突调整图.png', dpi=300)